Trust, Fake News and the future of journalism

Looking back on some tumultuous years in journalism, including Donald Trump’s campaign against fake news and the rise of the digital area, we asked Jimmy Wales, founder of Wikipedia and WikiTribune, five quick questions about his view on the current state of trust in journalism.

 

We interviewed Jimmy Wales at the GEN Summit 2018 in Lisbon where he did a session on trust with Matt Kelly (Archant Group) and Ed Williams (Edelman UK) © Rainer Mirau for GEN
 

 

How would you describe the state of trust in journalism?

Journalism has been under huge financial pressure for a few years and somehow lost its way. However, trust is now starting to get back after the public realized that quality journalism matters.

 

Access to Wikipedia is free. Does that mean that trust is free?

Trust is about honesty and this does not really cost anything. The other way round, money can corrupt honesty.

 

How do you go about Fake News?

We have to manage them with trust. In the mainstream and quality media we’ve got to do all things right and share transcripts, audios, … things to prove what we are saying. Only this way we can restore trust and show the people that we are not simply making something up.

 

How do you verify data for Wikipedia?

We verify the data with very old-fashioned techniques, like transcripts, interviews and documents. All of this is very old-fashioned journalism. If you look at later techniques, data journalism, for instance, is a very important tool in journalism of the modern world. So much can be learned from large sets of data, particularly financial contributions to politicians. It is a rich source of very good information.

 

How do you see the future of journalism?

I am optimistic about journalism in the future because it is a core function in society. And even if the transition from digital business models has been very difficult, I do not think that the public does not care about the truth anymore. They do. We just have to find models to make it work!

 

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Michaela Gruber is a journalism and media management student, based in Vienna, Austria. During her studies she spent a semester abroad in France, where she started working for HEI-DA.

As the company’s communication officer, she is in charge of the Data Journalism Blog and several social media activities. This year, Michaela was HEI-DA’s editor covering the Data Journalism Awards in Lisbon, Portugal.

 

 

Tips on news product prototypes from Bella Hurrell

We asked Bella Hurrell, Deputy Editor of the BBC News Visual Journalism Team, about what makes a good product prototype and what are the challenges that you have to face when building them. In this video, she shares with us the tools that the BBC uses for building their prototypes and what their vision is.

Build quick and dirty prototypes that you can test with people. Don’t invest huge amounts of time in something if you are not that sure about it […] and give up when it is a good time to do it!

 

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Michaela Gruber is a journalism and media management student, based in Vienna, Austria. During her studies she spent a semester abroad in France, where she started working for HEI-DA.

As the company’s communication officer, she is in charge of the Data Journalism Blog and several social media activities. This year, Michaela was HEI-DA’s editor covering the Data Journalism Awards in Lisbon, Portugal.

 

Tips on building chat bots from Quartz’s John Keefe

When talking to John Keefe, Product Manager & Bot Developer at Quartz, he encourages the journalism community to experiment with chat bots and try different tools. In this video, he shares some tips and tricks with us on what platforms to use and how journalists can build chat bots themselves.

Building chat bots is not as hard as it seems!
I would say, just give it a try!

 

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Michaela Gruber is a journalism and media management student, based in Vienna, Austria. During her studies she spent a semester abroad in France, where she started working for HEI-DA.

As the company’s communication officer, she is in charge of the Data Journalism Blog and several social media activities. This year, Michaela was HEI-DA’s editor covering the Data Journalism Awards in Lisbon, Portugal.

 

From Asia and beyond: experts discuss data journalism challenges

This article was originally published on the Data Journalism Awards Medium Publication managed by the Global Editors Network. You can find the original version right here.

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How easy (or difficult) is it to access data in China, Malaysia, Kenya, and other countries? Are there tested business models for data journalism in different parts of the world? How do you promote data literacy in newsrooms where innovation is not a priority? We’ve gathered international experts to tackle those questions, and discuss government interference, the pace of learning, and managerial issues.

 

 

Darren Long, head of graphics at South China Morning Post (Hong Kong), Kuek Ser Kuang Keng from Data N and former Google fellow at PRI (Malaysia), Eva Constantaras, Google Scholar from Internews and expert in data journalism for Africa, Asia and South America (originally from Greece), and Yolanda Ma from Data Journalism China, also jury member of the Data Journalism Awards competition (China), all joined us, as well as participants from other countries.

 

From left to right: Darren Long, Yolanda Ma, Eva Constantaras and Kuek Ser Kuang Keng

 

 

How widespread would you say data journalism is in your region?

 

Kuek Ser Kuang Keng: People like to see Southeast Asia as a ‘region’ but the fact is countries in this region are very diverse in terms of development stage, politics, and technology. So there’s no way to generalise them.

In Malaysia, my own country, data journalism is almost non-existent; there are only infographics. There is a strong interest among a small group of journalists, but they lack support from editors and management, who focus more on social media. Innovation in journalism is not prioritised. In neighbouring countries, such as Indonesia and the Philippines, things might be a little better, but they are still relatively far behind the West. In non-democratic countries where free press is always under siege like Cambodia, Vietnam, Laos, and Thailand, the landscape is totally different. There, the survival of independent journalism is above all other things like innovation.

Darren Long: It’s a good point. I was going to say Europe and America can feed off each other through the use of English language and a common Roman script whereas Asia is much more diverse. Press freedom is certainly an issue. Even in Hong Kong where we have a feisty and largely free press.

Visual journalism and the use of data is a good way to avoid government interference though. If you can use data to make your point from government sources, there is little they can criticise. The problem is getting public and government data. It is very hard to get consistent and reliable sources from Mainland China.

 

Yolanda Ma: In mainland China, since data journalism was introduced five years ago, it has been widely accepted and adopted by media organisations, from official newspapers to commercialised online portals. The development is limited due to the cost (both technical and human resources). It is more recognised by the industry than by the public.

Eva Constantaras: My specialty is introducing data journalism in countries where it basically doesn’t exist. General trends I see are: publishers get excited because it sounds digital and visual and sexy, mid-level editors and senior reporters are in denial about digital convergence and are afraid of it so don’t want to know anything about it, and early career journalists are excited about it for three reasons: 1. They want to still have a job once digital convergence happens 2. They think data visualisation looks fun and 3. (least common) they see how data can enrich their public interest reporting by making their stories more analytical.

 

How accessible is public data in your country? What advice do you have on how to access data (public or else)?

 

Darren Long: We have freedom of information but it’s a fine line.

Here are some useful websites: Open Data Hong Kong, Data.gov.hk and N3Con 2018.

Kuek Ser Kuang Keng: There’s no FOI in Malaysia, Singapore and other non-democractic Southeast Asian countries but it exists in Indonesia and the Philippines. While sensitive information is not available, Malaysia and Singapore governments do publish a lot of data online. Both countries have a dedicated open data portal and relevant policies.

However media in both countries don’t have a strong demand for government data nor the skill, knowledge, and habit to use data in their reporting. The main demand comes from the business/IT community which is adopting business analytics very fast. So before talking about accessing any data, there need to be awareness, skill, and knowledge within newsrooms on data journalism. It seems like this awareness is higher in Indonesia and the Philippines. There’s a specialised business data news startup in Indonesia called Katadata, that you may want to check out:

 

 

Eva Constantaras: The first excuse I get from journalists for not doing data journalism is that there isn’t enough data. In all the countries I have been in, I would not say that is among even the top 3 challenges. And partially that’s because nobody has ever used the little data there is, so they need to build up demand in order for more data to be released. The biggest challenge is finding journalists who are willing to abandon their jobs as stenographers and embrace their role as knowledge producers. This is not a problem data or technology can solve.

Darren Long: I agree with that. I find a lot of the problem is more about thinking how to visualise data in a creative manner than the non-existence of data.

Yolanda Ma: People usually have the impression that China doesn’t have much data but the reality is quite the opposite. There is tons of data, just not well published and usually unstructured. Sometimes the data is inaccurate and not reliable. There is a FOI regulation and media do use it for stories, but less for data.

But things are getting better, compared with five years ago. In China more data is released (effort has been made to convince government and also help them to get it right), the open data movement is still on and pushing for better data culture, especially collaboration between universities, companies, government, but also NGOs and citizens.

 

What are the main challenges data journalists face in your region?

 

Eva Constantaras: I think journalists underestimate the work that goes into a data story. It’s not enough to just use data to reveal the problem because of the ubiquity of corruption in so many countries. For a story to have an impact and get people’s attention, it has to measure the problem, the causes, the impact on citizens and potential solutions. That’s more work than journalists are used to. Many journalists just want to make visualisations. I tell them visualisations are the paint on the house. Their house can be a beautiful colour but if their analysis is bad, their structure is unsound, their pretty house will fall down.

Darren Long: Technology has been an issue for us. We have to create our infographics outside the company CMS and redirect the page. If we weren’t so stubborn we would have given up long ago

Kuek Ser Kuang Keng: Newsroom managers don’t have much awareness of data journalism and the digital disruption has put news companies in a tough position financially. The limited resources that news companies can allocate have been put into ‘hot’ fields like social media and video. A good number of journalists are eager to learn new skills but they don’t get much support to pick up new skills and put those skills into use. I wish technology was an issue in Malaysia. We don’t even have data or interactive team in newsrooms here. I’m the only data journalist in Malaysia.

Yolanda Ma: Talent is an issue everywhere, but the challenge beyond that is the cost — the cost to develop the skills and to maintain such a team in the newsroom. Many data stories in China are now going video or motion graphics as well to stay aligned with consumer trends.

Here is an example of data journalism on TV:

 

Parcels from Faraway Places (subtitles in English)

 

How do you overcome these challenges? What creative solutions could we find for them?

 

Kuek Ser Kuang Keng: How to overcome? I find the main hurdle lies with managers and editors, so I would approach them to provide them a better understanding of data journalism — the potential, impacts and costs, or talent needed. Another good way is to build networks among journalists who share the same interests, so they can support each other, and exchange ideas on how to convince their bosses.

Money is a huge problem in Malaysia. The digital disruption has put news companies in a tough position financially. They want something that can see quick returns, often financially

Eva Constantaras: I think we have to abandon the myth that learning data journalism is ‘fast’, something that can be picked up at a bootcamp. Someone should do a data study of how many data journalists come out of bootcamps. And how many statistically unsound stories came out by the few who did manage to produce a data story.

We want data journalism to be taken seriously so we need a serious approach to capacity building. I have a 200-hour training and production model bringing together journalists, civic hackers, and CSOs with data that has worked in a couple of countries but usually because we found committed journalists who were willing to be the lone data journalist in their newsroom. And we do a lot of outreach and convincing of editors and publishers.

 

Are there any tested business models (other than grants) for data journalism in developing countries?

 

Question from Stephen Edward (Astat Consulting, India)

Kuek Ser Kuang Keng: Unfortunately, not that I know of, but you can keep a watch on Katadata, a specialised data business news startup in Indonesia. They will increase their monetisation efforts soon.

Eva Constantaras: The only media outlet in a developing country that really sees a lot of revenuee coming from their data work is Nation Newsplex in Kenya, and part of that is because the Nation Media Group can repurpose the online data content for two different print publications and their television station. It’s still a very small team.

 

 

Donor support is also often not well structured. They want to give data reporting grants in countries without data reporters. Or they want to give funding for one-off projects that then die a slow death. It’s expensive to train and sustain a data team and most donors don’t make that investment.

Yolanda Ma: One business model that a newsroom is trying (not proved yet) is the think tank approach — they really specialised in urban data, so by digging into data and finding trends, they can actually provide the product for policy makers, urban design industry, etc.

When one data team do very well within the news organisations — another way to go is to spin off. Caixin’s former data head set up his own company last year and it provides service to other media organisations on data stories production now.

The good thing about spinning off is that you do not need to only do journalism projects — which are usually not that profitable. But by being independent you can do commercial projects as well.

Eva Constantaras: The nice thing about spinning off is also then data content can be distributed through a variety of popular media and reach a larger audience.

 

 

What can we do to get more high quality data journalism projects from the Global South? And, given that it is harder for the Global South to compete with the Global North, is there a way to build more recognition for the south?

 

Question from Ben Colmery (ICFJ Knigt Felllowships director, USA)

Yolanda Ma: There are some quite high quality data journalism projects in the South and they don’t have to compete with the North.

Kuek Ser Kuang Keng: As I mentioned earlier, there are far less reporting about the innovations including data journalism projects done by news organisation in Asia. We don’t have Nieman Lab or Poynter here (fortunately we still have djchina.org but it is in Chinese). There are good projects, often done in tough environment, but they don’t get much attention outside of their own country. I can see more and more projects from Latin America were featured in journalism portals but that kind of treatment has not reached Asia. However, language remains a challenge.

Eva Constantaras: I am not sure why they would need to compete since they have different audiences. Though one revenue model I am very interested in is encouraging Western media outlets to buy content from data journalists in the Global South instead of parachutting in their own expensive journalists who do superficial stories.

I think now the West has realized that it needs to do more data-driven reporting on the local level for rural and less educated audiences about issues they care about. I think that the value of data journalism in developing countries is exposing the roots of inequality and helping citizens make better decisions and push for a more accountable government on a local level. Those projects don’t have to be flashy. They just have to be effective and accurate.

Darren Long: I think what international news outlets do well is broad comparative visualisations based around strong concepts. I think we tend to over rely on charts and graphics in Asia.

What is interesting right now is how a market like China has incredibly deep reach through mobile phones. Massive markets do everything on their phone. The tier one cities are easily as sophisticated as the West in that area.

So if we can leverage consumption of dataviz on mobile there should be a massive appetite

 

Can you share one tip you wish you’d been given about data journalism in the region you work in?

 

Yolanda Ma: I’d say, in Asia, do start looking for opportunities for cross-border data stories.

Eva Constantaras: Identify questions that citizens need answered to improve their quality of life and build your data stories around answering those questions.

Kuek Ser Kuang Keng: Data journalism takes time and patience. Visualisation is usually the quickest and easiest part!

Yolanda Ma: To echo Eva’s point — yes, don’t just produce meaningless fancy visuals.

 

Examples of data journalism from around the world that you should go and check out:

 

Darren Long: The Singapore Reuters office is producing some stunning multimedia data visualisations.

Here’s one they did on the oil spill off China:

 

 

But they have international resources and can recruit from all over the world

Here’s an example of a story we did at South China Morning Post. The data was from the government, but they didn’t like the story. If you click on our source, the page opens with a great big disclaimer they added after we didnt take our page down:

 

 

The map itself is still up:

 

 

A few more that I like:

 

 

 

 

Kuek Ser Kuang Keng: Tempo is a highly respectable magazine in Indonesia that produces great investigative reports. But most of their data journalism projects are on print. Here’s a deck shared by their editor-in-chief that showcase some of their data stories.

 

 

Malaysiakini is also working hard in data journalism. I recently collaborated with them to produce the first newsgame in Malaysia. It explains the issue of malapportionment in Malaysian election system.

 

 

Yolanda Ma: Here is a deck I made on data journalism in China a year ago — it serves as a good overview for anyone who’s interested:

 

 

Other organisations from China you should check out: Caixin, the Paper/SixthTone, Yicai, DT.

I like IndiaSpend in India and Katadata in Indonesia too.

Eva Constantaras: Here’s an example of a story that might have been risky without government data:

 

 

Some of my favourites are IndiaSpend and Hindustan Times in India, Daily Nation Newsplex in Kenya, Ojo Publico in Peru and both La Nacion Argentia and Costa Rica.

Kuek Ser Kuang Keng: I agree with Yolanda and Eva, at the reporter level, a good number of journalists are eager to learn a new skill but they don’t get much support from editors or managers to pick up new skills and put those skills into use.

I would recommend Rappler in the Philippines, Katadata and Tempo in Indonesia. But only Katadata has a dedicated vertical for data stories

 

 

 


 

To see the full discussion, check out previous ones and take part in future ones, join the Data Journalism Awards community on Slack!

Over the past six years, the Global Editors Network has organised the Data Journalism Awards competition to celebrate and credit outstanding work in the field of data-driven journalism worldwide. To see the full list of winners, read about the categories, join the competition yourself, go to our website.


marianne-bouchart

Marianne Bouchart is the founder and director of HEI-DA, a nonprofit organisation promoting news innovation, the future of data journalism and open data. She runs data journalism programmes in various regions around the world as well as HEI-DA’s Sensor Journalism Toolkit project and manages the Data Journalism Awards competition.

Before launching HEI-DA, Marianne spent 10 years in London where she worked as a web producer, data journalism and graphics editor for Bloomberg News, amongst others. She created the Data Journalism Blog in 2011 and gives lectures at journalism schools, in the UK and in France.

Empowering women in media and data journalism

The deadline to apply to the Data Journalism Awards 2018 is fast approaching. As data journalists from around the world have just one week to gather their best data-driven work, we met with Mariana Santos, founder and co-director of Chicas Poderosas, also member of the competition jury. Her vision inspires women in Latin America and around the world. In this interview, she tells us how she wants to share her accomplishments as an innovator in digital media with other women, and to help them succeed as new media leaders.

 

 

Chicas Poderosas has been “changing the face of media, one woman at a time” since 2013. What specific skills do you think are most important for women who work in the media industry?

 

Depending very much in what community women work in, they need specific skills.

If we talk about Bolivia, for example, the women with whom we are working there are mainly radio communicators. They have very basic access to the internet. That is why we first trained them on the basics of how to use Facebook and Twitter, such as creating groups, using hashtags, replying and doing reports with video, audio and text. Then, we organised a 3-day hackathon to show them how to make their own audio podcast.

In other countries like Colombia, for instance, we put the emphasis on fact-checking training to show how to track social media networks, and also how to understand trends. Especially in times of elections, fact-checking is important there, as fake news have been especially spread all around social networks, and it is essential in journalism generally. 

An other skill we train women on is data-scraping, to understand how to work with data. We also organise data visualisation workshops, which are more about design and conceptualization of user journeys, as well as work on interfaces.

So, from technology, arts and journalism – everything comes together. Depending on the community we work in, we change the technology that we are using.

 

 

Why is there a difference between women and men in the media industry?

 

When you look at the development departments within newsrooms, most of them are made of men. I worked at the Guardian from 2010 to 2013, and in a group of 200 people working on development, we were only three women. You can find the same situation in Latin America, only it’s even worse. 

We want to change this! We want women to grab their future with their own hands, and understand that technology is not only the future but also the present.

In most training programmes, as soon as it is about technology, there will be way more men than women. Creating Chicas Poderosas, which has “women” (chicas) in its name, automatically attracted more women. We’ve created a space where they feel comfortable, where it’s ok to fail, where they are not being judged, and where they can share their doubts, questions and insecurities. A space where they can grow together and be better together.

 

 

One thing you are focusing on is the situation of women in politics and how to use data journalism to improve gender inequality in Central American governments. As you are mainly working in Brazil, can you give us an insight on what the situation is like for women over there?

 

From what I know, and what I’ve been feeling, the political situation is very poor. Right now you have extremely corrupted candidates who run for president. Even the former president tries to get into office again, even though he is about to be put in jail.

The situation for women is worse. They have quotas for the number of women to represent congress, parliament, and the government. But in most cases, they are actually either daughters, wifes, sisters or cousins of male presidents or males who are somehow connected to the political scheme. Therefore, they do whatever they are told to do.

That’s not what we need! With Chicas Poderosas we start a discussion in politics, asking questions such as “what does it take for women to be taken seriously in politics?”

 

 

What are you looking for when voting for projects from the Data Journalism Awards competition? 

 

Data journalism for me is the core of journalism and that is what I began with. What I look for are proposals that are varied, not laid back safe, not copying the great examples that are already there, projects that come up with something new. Engage me in the story! That’s the main thing.

Regardless of the story, I want to see variety. See out of the box, go out of your comfort zone and show me what you can do!

 

Besides teaching digital and new media skills, Chicas Poderosas offers leadership training. Why is it especially important for women?

 

In Latin America I see that women have a tendency to block themselves, to not believe that they can do the things they want to do, and therefore, there is a lack of women leaders. Why does a woman has to become more man-like in order to be seen as a leader? This is something we really want to change!

Women have so many skills and qualities that they often don’t use. This is really sad because they have characteristics that are really useful and needed for leadership. 

 

What are your main pieces of advice for women in media leadership positions? 

 

I’ve been meeting amazing women leaders in the media and we are trying to bring them to the New Ventures Lab that we have started a few weeks ago in St. Paulo, Brazil. We need more women role models in Latin America! We bring them to share their stories and insecurities, and we are trying to teach them to be very goal-driven.

As an entrepreneur you need to not only want but also to be able to do it. To run the extra mile and give a little bit more. Because you may have a full-time job, or a family to take care of. 

In order to strive within new media you have to think outside of the box, because journalism has changed – print is dying, digital is here to stay. We cannot think the same way as we did in print days. The same thing goes for leadership. Whether you are a man or a woman, use all your strengths and your skills in your execution of leadership.

 

 

What upcoming projects do you have at Chicas Poderosas?

 

The next big goal is to finish our New Ventures Lab initiative on 25 May 2018, in St Paulo, Brazil, at Google’s offices. There, ten teams will have to reach their full potential, launch and run their own businesses.

What we want to do is to have a very solid structure in terms of investigative media training. This is our main core and it will always be.

We created a network that gathers people from 11 countries in Latin America, and supports women. 

 

Finally, what are your favourite programmes to create graphics with?

 

I love making illustrations with Illustrator and animating everything in After Effects. Sometimes I like using stop-motion as well but that’s a little bit more crafty and handmade: you draw, you keep the paper, you lay it on any surface you have and take a picture of every movement you want to create. That makes a really crafty animation. It’s very time consuming but, when you don’t give me any time limitation, that’s what I love doing the most.

 



Michaela Gruber is a journalism and media management student, based in Vienna, Austria. During her studies she spent a semester abroad in France, where she started working for HEI-DA.

As the company’s communication officer, she is in charge of the Data Journalism Blog and several social media activities. This year, Michaela will also be HEI-DA’s editor covering the Data Journalism Awards in Lisbon, Portugal.

The future of news is not what you think and no, you might not be getting ready for it the right way

This article was originally published on the Data Journalism Awards Medium Publication managed by the Global Editors Network. You can find the original version right here.

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Editors, reporters and, anyone in news today: how prepared are you for what is coming? Really. There is a lot of talk right now on new practices and new technologies that may or may not shape the future of journalism but are we all really properly getting ready? Esra Dogramaci, member of the Data Journalism Awards 2017 jury and now working as Senior Editor on Digital Initiatives at DW in Berlin, Germany, thinks we are not. The Data Journalism Awards 2017 submission deadline is on 10 April.

 

Esra Dogramaci, Senior Editor on Digital Initiatives at DW, Photo: Krisztian Juhasz

 

Before joining DW, Esra Dogramaci worked at the BBC in London and Al Jazeera English, amongst others. She discusses here the preconceived ideas people have about the future of journalism and how we might be getting it all wrong. She also shares some good tips on how to better prepare for the journalism practices of the future as well as share with us her vision of how the world of news could learn from the realm of television entertainment.

 

What do you think most people get wrong when describing the future of journalism?

 

There are plenty of people happy to ruminate on the future of journalism — some highly qualified such as the Reuters Institute and the Tow Center who make annual predictions and reports based on data and patterns while others go with much less than that. Inevitably, people get giddy about technology — what can we do with virtual reality (VR), augmented reality (AR), artificial intelligence (AI), personalisation (not being talked about so much anymore), chatbots, the future of mobile and so on. However with all this looking forward to where journalism is headed (or rather how technology is evolving and, how can journalism keep pace with it), are we actually setting ourselves and journalism students up with all that is needed for this digital future? I think the answer is no.

 

What is, according to you, a more adequate description (or prediction) of the future of news?

 

If we’re talking about a digital future, the journalists of tomorrow are not equipped with the digital currency they will need.

Technology definitely matters but it’s not so useful when you don’t have people who understand it or can build and implement appropriate strategy to bridge journalism in a digital age. Middle or senior management types for instance, are less likely to know how to approach Snapchat, which they would be less likely to use, than a high school teenager who is using it as a social sharing tool or their primary source of news.

So if we aren’t actually:

1. Listening to our audience and knowing who they are and how they use these technologies, and

2. Bringing in people who know how to use these tools that speak to and with the audience,

…the efforts are going to be laughable at worst and dismissed at best.

In essence, technology and those who know how to use, develop and iterate it go together. That’s the future of news. We should be looking forward with technology, but we’ve also got to look back at the people coming through the system that will inherit and step into the – hopefully relevant – foundations we’re building now.

 

“Are we actually setting ourselves and journalism students up with all that is needed for this digital future?”

 

When looking at the evolution of journalism practices over the past few years, which ones fascinate you the most?

 

There are two things that stand out. The first is analytics and the second is the devolution of power, both points are interrelated.

Data analytics have really transformed non-linear journalism. Its instantly measurable, helping people make editorial decisions but also question and understand why content you thought would perform doesn’t. Data allows us to really understand our audience, and come up with content that not just resonates with them but how to package content that they will engage with. For instance a website audience is not going to be the same as your TV audience (TV is typically older and watches longer content but again the data will tell specifics), so clipping a TV package and sticking it on Facebook or YouTube isn’t optimal and suggests to your audience that you don’t understand these platforms and more importantly, them. They will go to another news provider that does.

An example of this was a project where it was traditionally assumed [in one of my previous teams] that the audience was very interested in Palestinian-Israeli conflict and so a lot of stories were delivered about it. However, we discovered through the numbers, on a consistent basis, that the audience wasn’t as interested as assumed, rather people were more into the conflicts in Syria, Yemen as well as Morocco and Algeria stories. These stories and audiences may not have traditionally registered on top of the editorial agenda because of what was historically thought to be in the audiences interest, but our data was suggesting we needed to pay more attention to the coverage in these areas.

Now, that being said, it’s still stunning to see how little analytics are used day to day. There still seems to be a monopoly on the numbers rather than integration into newsrooms. There are a plethora of tools available in making informed editorial or data decisions but generally editors don’t understand them or follow metrics that are not useful because they don’t know how to interrogate the data, or we hear things like ‘I’m an editor, I’ve been doing this for x years, I know better.’

Fortunately though, about 80–90% of editors I find are keen to understand this data-driven decision-making world and once you sit down and explain things, they become great advocates. Ian Katz at BBC Newsnight, Carey Clark at BBC HardTalk are two editors who embody this.

The second area is devolving power. The best performing digital teams are when not all decision-making is consolidated at the top, and you really give people time and space to figure out problems, test new ideas without the pressure always to publish. That’s a very different model to traditional hierarchical or vertical journalism structures. Its an area of change and letting go of power. But empowering the team empowers leaders as well.

An example of this is a team I worked with where all decisions and initiatives went through a social media editor. As a result, there was a bottleneck, and frustration for things not being done and generally being late to the mark on delivering stories and being relevant on platform as competitors were overtaking. What we did is decentralise control — we asked the team what platforms they’d like to take responsibility for (in addition to day to day tasks) and together came up with objectives and a proposition to deliver on those. The result? Significant growth across the board, increase in engagement but perhaps most importantly, a happier team. That’s what most people are looking for: recognition, responsibility, autonomy. If you can keep your team happy, they are going to be motivated and the results will follow.

 

Global Headaches: the 10 biggest issues facing Donald Trump, by CNN

 

 

Do you have any stories in mind that represent best what you think the future of newsmaking will look like?

 

CNN digital did this great Global Headaches project ahead of the US elections last year.

The project was on site (meaning that traffic was coming to the site and not a third party platform), made for mobile which would presumably reflect an audience coming mainly from mobile, used broadcast journalists and personalities as well as regular newsgathering, with an element of gamification. Each scenario had an onward journey which then takes your reader out of the game element and into the story.

 

Example from the “onward journey” with the CNN “Global Headaches” project

 

This isn’t a crazy high tech innovation but it is something that would have been much harder to pull off say 5 years ago. This example is multifaceted and making use of the tools we have available today in a smart way. It demonstrates that CNN can speak to the way their audience is consuming content while fulfilling its journalistic remit.

Examples like this doesn’t mean we should be abandoning long form text for instance and going purely for video driven or interactive stories. The Reuters Institute found last year (in their report The Future of Online News Video) that there is oversaturation of video in publishing and that text is still relevant. So, I would caution against throwing the text baby out with the bathwater, which then comes down to two things:

  1. Know your audience and do so by bringing analytics into the newsroom (it’s still slightly mind boggling the number of newsrooms who do not have any analytics in the editorial process)
  2. Come up with a product that you love and that works. The best of these innovations are multidisciplinary and do something simple using the relevant tools we have, that are accessible today. There’s no use investing in a VR project if the majority of your audiences lack the headsets to experience it.

 

Do you think news organisations are well equipped for this digital future?

 

Yes and no. There are the speedboats like Quartz, AJ+, NowThis, Vox, who can pivot quickly and innovate versus the bigger media tankers that turn very slowly. One question I get asked quite a bit is “what’s the most important element in digital change”. The answer is leadership. There needs to be someone(s) who understands, supports and pushes change, otherwise everyone down the ranks will continue to struggle and face resistance.

I truly believe in looking at the people who are on the ground, rolling up their sleeves and getting the work done, trying, failing, succeeding, and who keep persevering — versus always deferring to editors who have been in place for say 10 years to lead the way. Those people in the trenches are the ones we should be shining the light on and listening to. They are much closer to the audience and can give you usable insights that also go beyond numbers.

If I could name a few, people like Carol Olona, Maryam Ghanbarzadeh at the BBC, Alaa Batayneh or Fatma Naib, at Al Jazeera, Jacqui Maher at Conde Nast, need to be paid attention to. You may not see them at conferences or showcased much but by having people like them in place, news organisations are well equipped for a digital future.

 

Do you see some places in the world (some specific organisations maybe?) that are actually doing better than others on that front?

 

The World Economic Forum wouldn’t traditionally be associated as being a digital media organisation, but a few years ago they started to invest in social media and develop an audience that normally would not be interested in them. They take data and make it relevant and accessible for low cost, bite size social consumption.

Take this recent video for example:

 

Your brain without exercise, a video by the World Economic Forum
And also this related one:

 

Best of 2016 social video by the World Economic Forum

 

There is also this NYT video of Simone Biles made ahead of the 2016 summer Olympics which then has the option of taking you to an onward site journey.

The Financial Times hasn’t been afraid of digital either. You see them taking interesting risks which might go over a lot of people’s heads but the point is they’re trying. Like in their project “Build your own Kraft Heinz takeover”.

 

 

Then there are the regular suspects — AJ+ isn’t trying to do everything, they’re trying to be relevant for a defined audience on the platforms that audience uses. Similarly, Channel 4 News isn’t pumping out every story they do on social, but deliberately going for emotionally charged stories rather than straight reporting as well as some play with visualising data.

 

What would you like to see more of in newsrooms today which would actually prepare staff better for what’s coming?

 

When you’re hiring new staff, assign them digital functions and projects rather than putting them on the traditional newsroom treadmill. A lot of organisations have entry level schemes and this could easily be incorporated into that model. That demonstrates that digital is a priority from the outset. You could also create in house lightning attachments, say a six-week rotation at the end of which you’re expected to deliver something ready for publishing, driven by digital. My City University students were able to come up with a data visualization in less than an hour, and put together a social video made on mobile in 45 minutes (social or mobile video wasn’t even on the course but I snuck it in). Six weeks in a newsroom is plenty of time for something substantial.

Also, have the right tools in place and ensure that everyone is educated on the numbers. Reach and views for instance get thrown around a lot- they are big easy numbers to capture and comprehend, but we need to make a distinction between what is good for PR versus actionable metrics in the newsroom. As more people clue into what matters, I do think (and we see in certain places like Newswhip for instance) where success is based on engagement, interactions and watchtime rather than views, impressions or reach.

Finally and obviously, its devolution of power and more risk taking. Make people better by empowering them — that means carve out the time and space to experiment without the pressure to deliver or publish. When you are continually driving staff against deadlines, creativity suffers. Fortunately there are so many third party tools and analytics that will very quickly tell you what’s working and what’s not, contributing to a much more efficient newsroom freeing up valuable time to think and experiment. Building multi disciplinary teams is a good step in this direction. DW is experimenting with a “lab like” concept bringing together editorial, technical and digital folks in an effort to bring the best of all worlds together and see what magic they come up with.

 

From your experience teaching social and digital journalism at City University London, what can you say about the way the younger generation of journalists is being trained for the future? Do they realise what’s at stake?

 

At the beginning of term, I heard quite a few students say that digital didn’t matter, it wasn’t “real journalism” and that they were taking the class merely because it was perceived as an “easy pass”. That’s because the overall coursework, emphasized magazine and newspaper journalism. At the end of the term, and almost on a weekly basis since, my former students write to me about either digital projects they have done, digital jobs they are going for or how something we went over in the class has led to another opportunity.

There remains a major emphasis on traditional broadcast journalism — TV, radio, print, but very little for digital. That’s not something to fault students on. Digital is changing constantly but teaching staff mainly reflect the expertise of the industry, and that expertise is traditional. While there are a lot of digital professionals, it does not come close to the level of expertise and experience currently on offer at institutions training the next journalist generation. That being said organisations like Axel Springer have journalism academies where all of their instructors, are working full time in media and can translate the day to day relevance into the classroom. That’s more of the kind of thing we need to have.

The students I think do realise what’s at stake because a lot of those journalism jobs they’re applying for all require some level of digital literacy. Sure everyone might watch a YouTube video but what happens when an Editor asks you why a news video has been uploaded and monetised by other users elsewhere. Would you know what to do?

 

What could be done to improve the educational system in the UK and beyond? Simply make journalism courses more digitally focussed?

 

There is nothing that will compel places to change but reputation. If students are leaving institutions because what they are learning is not preparing them to meet the demands of the industry they’re choosing to go into, word will spread sooner than later. There will surely be visionary institutions who ‘get it’ and adapt, some are there already.

‘Smart’ places will build in digital basics so students can have the confidence to hit the ground running. I see this in a lot of digital job requirements. It’s a given that anyone starting in journalism in 2017 has basic social media literacy. Beyond that everything is a bonus — how can you file from a mobile phone, can you interpret complex data and tell a story with it. Then, are you paying attention to analytics?

As Chris Moran (Guardian) had pointed out:

 

“staff blame the stupid internet for low page views on a piece…but credit the quality of the journalism when one hits the jackpot.”

We need a much more sophisticated understanding beyond yes/no answers to points like these.

A lot of media houses have academies or training centres expected also to bridge digital gaps. The caution there is that the trainings they offer when it comes to things beyond CMS, uploading video, etc., is that other digital knowledge seem to fall in the “nice to know” rather than “you need this” category. The best thing is to find the in-house talents who know what they’re talking about and get them to lead the way.

 

Another recurrent question when talking about our digital future is the question of business models for news organisations. As the latter are under continual financial strain, you actually think we should get inspiration from the entertainment industry. Can you elaborate on this idea?

 

Yes. The entertainment industry always has a much larger creative capacity and funding so they are able to take more risks with less at stake. That’s where we should be looking and seeing what the obvious news applications could be rather than trying to build our own innovations all the time. Most news houses just cannot compete with entertainment budgets. Jimmy Fallon showcased Google Tilt brush in January 2016:

 

 

https://www.youtube.com/watch?time_continue=2&v=Dzy7ydbEyIk

 

 

I then saw it in November 2016 at a Google News event but have yet to see anyone use it in a meaningful news application. It doesn’t necessarily mean that all these things will be picked up on, but it does mean we should keep a finger on the pulse of what’s possible. Matt Danzico, now setting up a Digital News Studio at NBC is in a unique position. He’s in the same building as Late Night, SNL, and others. That means he has access to all the funky things entertainment is coming up with and can think about news applications for it.

Similarly, how can news organisations think about teaming up with Amazon or Netflix for instance and start to make their content more accessible? These media giants have the capacity to push creative boundaries and invest, and news organisations have their journalistic expertise to offer in that relationship. That’s very relevant in this time of “fake news”.

 

You have recently been appointed Senior Editor of Digital at DW in Berlin. Can you tell us more about what this position entails and the type of projects you’ll be doing? How different is it from what you’ve done in the past at the BBC and Al Jazeera for example?

 

DW is in a position familiar to many broadcasters, and that is a slight shift away from linear broadcasting to a considerable foray into digital. The difference is that DW is not starting from zero, with plenty of good (and bad) examples around to learn from. The first thing is to set a good digital foundation — getting the right tools in house and bringing people along on the digital journey — in a nutshell increasing literacy and comfort with digital. Once that is done I think you’ll see a very sharp learning curve and a lot more ambitious digital projects and initiatives coming from DW.

We’re very lucky that we have a new Editor in Chief, Ines Pohl and new head of news, Richard Walker, both infused with ideas and energy of making a great digital leap. Complementary to that we have a new digital strategy coming from the DG’s office which I’ve been involved with in addition to a new DW “lab like” concept, as I mentioned before. A lot of people might not know how big DW is — there are 30 language services and English is the largest of those, so getting all systems firing digitally is no small task.

Compared to BBC or AJ, the scope and scale of the task is of course much bigger. At AJ we had a lot of free range in the beginning because no one was doing what we did, at the BBC, there was much more process involved, less risk taking. Based on those experiences, DW is somewhere in the middle, a good balance. 2017 could be the year where stars align for DW. There are approximately 12 parliamentary or national elections in Europe and DW knows this landscape well. So bringing together the news opportunities, a willingness to evolve and invest in something new along with leadership that can really drive it, I think DW will be turning heads soon.

 


marianne-bouchart

Marianne Bouchart is the founder and director of HEI-DA, a nonprofit organisation promoting news innovation, the future of data journalism and open data. She runs data journalism programmes in various regions around the world as well as HEI-DA’s Sensor Journalism Toolkit project and manages the Data Journalism Awards competition.

Before launching HEI-DA, Marianne spent 10 years in London where she worked as a web producer, data journalism and graphics editor for Bloomberg News, amongst others. She created the Data Journalism Blog in 2011 and gives lectures at journalism schools, in the UK and in France.

 

A data journalist’s microguide to environmental data

This article was originally published on the Data Journalism Awards Medium Publication managed by the Global Editors Network. You can find the original version right here.

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Lessons learned from an online discussion with experts

The COP23 conference is right round the corner (do I hear “climate change”?) and many data journalists around the world may wonder: How do you go about reporting on environmental data?

 

With the recent onslaught of hurricanes, such as Harvey, Irma, and Maria, and wildfires in Spain, Portugal and California, data journalists have been working hard to interpret scientific data, as well as getting creative to make it reader friendly.

The COP23 (do I hear climate change?) also serves as a great opportunity for data journalists to take a step back and ask:

What is the best way of reporting on data related to the environment? Where do you find the data in the first place? How do you make it relatable to the public and which challenges do you face along the way?

From top left to bottom right: Kate Marvel of NASA GISS (USA), James Anderson of Global Forest Watch (USA), Rina Tsubaki of European Forest Institute (Spain), Gustavo Faleiros of InfoAmazonia (Brazil), Elisabetta Tola of Formicablu (Italy), and Tim Meko of The Washington Post (USA)

 

We gathered seven amazing experts on the Data Journalism Awards Slack team on 5 October 2017 to tackle these questions. Tim Meko of The Washington Post (USA), Gustavo Faleiros of InfoAmazonia (Brazil), Rina Tsubaki of European Forest Institute (Spain), Kate Marvel of NASA GISS (USA), Elisabetta Tola of Formicablu (Italy), Octavia Payne and James Anderson of Global Forest Watch (USA), all took part in the discussion.

Here is a recap of what we’ve learned including tips and useful links.

 

Environmental data comes in many formats…only known by scientists

 

When it comes to working with environmental data, both journalists and scientists seem to be facing challenges. The main issue seems not to come from scarcity of data but rather from what journalists can do with it, as Elisabetta Tola of Formicablu (Italy) explained:

‘Things are still quite complicated because we have more data available than before but it is often difficult to interpret and to use with journalistic tools’, she said.

There also seems to be a gap between the speed at which data formats evolve in that area and how fast journalists learn how to work with these formats.

‘I think we are still in a moment where we know just a little about data formats. We know about spreadsheets and geodata, but then there are all these other formats, used only by scientists. And I am not really sure how we could use those’, said Gustavo Faleiros of InfoAmazonia (Brazil).

Environmental data should be more accessible and easy to interpret and scientists and journalists should be encouraged to work hand-in-hand more often. The existing incentive structure makes that hard: ‘Scientists don’t get paid or promoted for talking to journalists, let alone helping process data’, said Kate Marvel of NASA GISS (USA).

 

So what could be done to make things better?

 

“We need to open up more channels between journalists and scientists: find more effective ways of communicating’, said Elisabetta Tola of Formicablu.

We also need more collaboration not just among data journalism folks, but with larger communities.

‘Really, it is a question of rebuilding trust in media and journalism’, said Rina Tsubaki of European Forest Institute.

‘I think personalising stories, making them hyper-local and relevant, and keeping the whole process very transparent and open are key’, said James Anderson of Global Forest Watch.

Indeed, there seems to be a need to go further than just showing the data: ‘People feel powerless when presented with giant complex environmental or health problems. It would be great if reporting could go one step further and start to indicate ‘what’s the call to action’. That may involve protecting themselves, engaging government, responding to businesses’, said James Anderson of Global Forest Watch.

Top idea raised during the discussion: “It would be great to have something like Hacks&Hackers where scientists and journalists could work together. Building trust between these communities would improve the quality of environmental reporting but also the reward, at least in terms of public recognition, of scientists work.” Suggested by Elisabetta Tola of Formicablu.

 

To make environmental data more ‘relatable’, add a human angle to your story

 

As the use of environmental data has become much more mainstream, at least in American media markets, audiences can interact more directly with the data than ever before.

‘But we will have to find ways to keep innovating, to keep people’s attention, possibly with much more personalised data stories (what does the data say about your city, your life in particular, for example)’, said James Anderson of Global Forest Watch.

‘Characters! People respond to narratives, not data. Even abstract climate change concepts can be made engaging if they’re embedded in a story’, said Kate Marvel of NASA GISS.

For example, this project by Datasketch, shows how Bogotá has changed radically in the last 30 years. ‘One of the main transformations’, the website says ‘is in the forestation of the city as many of the trees with which the citizens grew have disappeared’.

This project by Datasketch, shows how Bogotá has changed radically in the last 30 years and include citizen’s stories of trees

 

With this project, Juan Pablo Marín and his team attached citizen stories to specific trees in their city. They mapped 1.2 million trees and enabled users to explore narrated stories by other citizens on a web app.

‘I like any citizen science efforts, because that gets a community of passionate people involved in actually collecting the data. They have a stake in it’, James Anderson of Global Forest Watch argued.

He pointed out to this citizen science project where scientists are tracking forest pests through people’s social media posts.

One more idea for engaging storytelling on climate change: Using art to create a beautiful and visual interactive:
Illustrated Graphs: Using Art to Enliven Scientific Data by Science Friday
Shared by Rina Tsubaki of European Forest Institute

 

Tips on how to deal with climate change sceptics

 

‘Climate denial isn’t about science — we can’t just assume that more information will change minds’, said Kate Marvel of NASA GISS.

Most experts seem to agree. ‘It often is more of a tribal or cultural reaction, so more information might not stick. I personally think using language other than ‘climate change’, but keeping the message (and call to action to regulate emissions) can work’, said James Anderson of Global Forest Watch.

A great article about that, by Hiroko Tabuchi, and published by The New York Times earlier this year can be found here: In America’s Heartland, Discussing Climate Change Without Saying ‘Climate Change’

‘Keeping a high quality and a very transparent process can help people who look for information with an open mind or at least a critical attitude’, Elisabetta Tola of Formicablu added.

A great initiative where scientists are verifying media’s accuracy:
Climate Feedback
Shared by Rina Tsubaki of European Forest Institute

 

Places to find data on the environment

The Planet OS Datahub makes it easy to build data-driven applications and analyses by providing consistent, programmatic access to high-quality datasets from the world’s leading providers.

AQICN looks at air pollution in the world with a real-time air quality index.

Aqueduct by the World Resources Institute, for mapping water risk and floods around the world.

The Earth Observing System Data and Information System (EOSDIS) by NASA provides data from various sources — satellites, aircraft, field measurements, and various other programs.

FAOSTAT provides free access to food and agriculture data for over 245 countries and territories and covers all FAO regional groupings from 1961 to the most recent year available.

Global Forest Watch offers the latest data, technology and tools that empower people everywhere to better protect forests.

The Global Land Cover Facility (GLCF) provides earth science data and products to help everyone to better understand global environmental systems. In particular, the GLCF develops and distributes remotely sensed satellite data and products that explain land cover from the local to global scales.

Google Earth Engine’s timelapse tool is useful for satellite imagery, enables you to map changes over time.

Planet Labs is also great for local imagery and monitoring. Their website feature practical examples of where their maps and satellite images were used by news organisations.

 

News from our community: In a few months, James Anderson and the team at Global Forest Watch will launch an initiative called Resource Watch which will work as an aggregator and tackle a broader set of environmental issues.

“It was inspired by the idea that environmental issues intersect — for example forests affect water supply, and fires affect air quality. We wanted people to be able to see how interconnected these things are,” said Anderson.

 

What to do if there is no reliable data: the case of non-transparent government

 

It is not always easy or straightforward to get data on the environment, and the example of Nigeria was brought about during our discussion by a member of the DJA Slack team.

‘This is because of hypocrisy in governance’, a member argued.

‘I wish to say that press freedom is guaranteed in Nigeria on paper but not in reality.

You find that those in charge of information or data management are the first line of gatekeepers that will make it practically impossible for journalists to access such data.

I can tell you that, in Nigeria, there is no accurate data on forestry, population figure and so on’.

So what is the way out? Here are some tips from our experts:

‘I would try using some external, no official sources. You can try satellite imagery by NASA or Planet Labs or even Google, then distribute via Google Earth or their Google News Lab. Also you can download deforestation, forest fires and other datasets from sites of University of Maryland or the CGIAR Terra-i initiative’, Gustavo Faleiros of InfoAmazonia suggested.

Here is an example:

Nigeria DMSP Visible Data By NOAA/NGDC Earth Observation Group

‘I think with non-transparent governments, it is sometimes useful to play both an “inside game” (work with the government to slowly [publish] more and more data under their own banner) and an “outside game” (start providing competing data that is better, and it will raise the bar for what people [should] expect)’, said James Anderson of Global Forest Watch.

‘It’s a really tough question. We’ve worked with six countries in the Congo Basin to have them improve their data collection, quality-control, and sharing. They now have key land data in a publicly-available portal. But it took two decades of hard work to build that partnership’, he added.

‘I think this is exactly the case when a good connection with local scientists can help’, said Elisabetta Tola of Formicablu. ‘There are often passionate scientists who really wish to see their data out. Especially if they feel it could be of use to the community. I started working on data about seismic safety over five years ago. I am still struggling to get the data that is hidden in tons of drawers and offices. I know it’s there’, she added.

‘For non-transparent governments, connect with people who are behind facilitating negotiations for programmes like REDD to get insider view’, added Rina Tsubaki of European Forest Institute.

CARTO is the platform for turning location data into business outcomes.

 

What tools do you use when reporting on environmental data?

 

Here is what our data journalism community said they played with on a regular basis:

CARTO enriches your location data with versatile, relevant datasets, such as demographics and census, and advanced algorithms, all drawn from CARTO’s own Data Observatory and offered as Data as a Service.

QGIS is a free and open source geographic information system. It enables you to create, edit, visualise, analyse and publish geospatial information.

OpenStreetMap is a map of the world, created by members of the public and free to use under an open licence.

Google Earth Pro and Google Earth Engine help you create maps with advanced tools on PC, Mac, or Linux.

Datawrapper, an open source tool helping everyone to create simple, correct and embeddable charts in minutes.

R, Shiny and Leaflet with plugins were used to make these heatmaps of distribution of tree species in Bogotá.

D3js, a JavaScript library for visualizing data with HTML, SVG, and CSS.

Flourish makes it easy to turn your spreadsheets into world-class responsive visualisations, maps, interactives and presentations. It is also free for journalists.

 

Great examples of data journalism about the environment we’ve come across lately

 

How Much Warmer Was Your City in 2015?
By K.K. Rebecca Lai for The New York Times
Interactive chart showing high and low temperatures and precipitation for 3,116 cities around the world.
(shared by Gustavo Faleiros of InfoAmazonia)

 

What temperature in Bengaluru tells about global warming
By Shree DN for Citizen Matters
Temperature in Bengaluru was the highest ever in 2015. And February was the hottest. Do we need more proof of global warming?
(shared by Shree DN of Citizen Matters in India)

 

Data Science and Climate Change: An Audience Visualization
By Hannah Chapple for Affinio Blog
Climate change has already been a huge scientific and political topic in 2017. In 2016, one major win for climate change supporters was the ratifying of the Paris Agreement, an international landmark agreement to limit global warming.
(shared by Rina Tsubaki of European Forest Institute)

 

Google’s Street View cars can collect air pollution data, too
By Maria Gallucci for Mashable
“On the question of compelling environmental stories to prioritize, (this was a bit earlier in the thread) I feel like hyper-local air quality (what is happening on your street?) is powerful stuff. People care about what their family breathes in, and its an urgent health crisis. Google StreetView cars are now mapping this type of pollution in some places.”
(shared by James Anderson of Global Forest Watch)

 

This Is How Climate Change Will Shift the World’s Cities
By Brian Kahn for Climate Central
Billions of people call cities home, and those cities are going to get a lot hotter because of climate change.
(shared by Rina Tsubaki of European Forest Institute)

 

Treepedia :: MIT Senseable City Lab
Exploring the Green Canopy in cities around the world
(shared by Rina Tsubaki of European Forest Institute)

 

Losing Ground
By ProPublica and The Lens
Scientists say one of the greatest environmental and economic disasters in the nation’s history — the rapid land loss occurring in the Mississippi Delta — is rushing toward a catastrophic conclusion. ProPublica and The Lens explore why it’s happening and what we’ll all lose if nothing is done to stop it.
(shared by Elisabetta Tola of Formicablu)

 

Watergrabbing
A Story of Water, looks into the water-hoarding phenomenon. Every story explains a specific theme (transboundary waters, dams, hoarding for political and economic purposes), and shows the players involved, country-by-country. Take time to read and discover what water grabbing means. So that water can become a right for each country and every person.
(shared by Elisabetta Tola of Formicablu)

 

Ice and sky
By Wild-Touch
Discover the history and learn about climate changes — the interactive documentary
(shared by Gustavo Faleiros of InfoAmazonia)

 

Extreme Weather
By Vischange.org
The resources in this toolkit will allow communicators to effectively communicate extreme weather using strategically framed visuals and narratives. Watch the video to see it in action!
(shared by Rina Tsubaki of European Forest Institute)

Plus, there is a new version of Bear 71 available for all browsers:
Bear 71 VR
Explore the intersection of humans, nature and technology in the interactive documentary. Questioning how we see the world through the lens of technology, this story blurs the lines between the wild world, and the wired one.
(shared by Gustavo Faleiros of InfoAmazonia)

 


 

To see the full discussion, check out previous ones and take part in future ones, join the Data Journalism Awards community on Slack!

 


marianne-bouchart

Marianne Bouchart is the founder and director of HEI-DA, a nonprofit organisation promoting news innovation, the future of data journalism and open data. She runs data journalism programmes in various regions around the world as well as HEI-DA’s Sensor Journalism Toolkit project and manages the Data Journalism Awards competition.

Before launching HEI-DA, Marianne spent 10 years in London where she worked as a web producer, data journalism and graphics editor for Bloomberg News, amongst others. She created the Data Journalism Blog in 2011 and gives lectures at journalism schools, in the UK and in France.

 

How three women are influencing data journalism and what you can learn from them

This article was originally published on the Data Journalism Awards Medium Publication managed by the Global Editors Network. You can find the original version right here.

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Stephanie Sy of Thinking Machines (Philippines), Yolanda Ma of Data Journalism China and Esra Dogramaci of Deutsche Welle, formerly Al Jazeera (Germany), new members of the Data Journalism Awards jury, talk innovation, data journalism in Asia and the Middle East, and women in news.

left to right: Yolanda Ma (Data Journalism China), Esra Dogramaci (Deutsche Welle, formerly BBC and Al Jazeera), and Stephanie Sy (Thinking Machines) join DJA Jury

 

We welcomed three new members to the Data Journalism Awards jury last year (pictured above). They are all women, strong-willed and inspiring women, and they represent two regions that are often overlooked in the world of data journalism: Asia and the Middle East.

What was your first project in data journalism or interactive news and what memory do you keep from it?

Esra Dogramaci: In 2012, Invisible Children launched a campaign to seek out Lord’s Resistance Army(LRA) leader Joseph Kony and highlight the exploitation of child soldiers. Then, at Al Jazeera, we wanted to see what people in North Uganda, who lived in one of the areas who were affected by the LRA actually had to say about it. They would ‘speak to tweet’ and we would map their reactions on Ushahidi using a Google Fusion table in the background.

 
Uganda Speaks by Al Jazeera

 

Although Al Jazeera had started doing this kind of projects back in 2009 during the war on Gaza (the experiment’s page of the Al Jazeera Lab website has now disappeared but can be viewed through WebArchive.org), it picked up steam during Egypt’s 2011 Arab Spring where, due to lack of broadcast media coverage, protesters were using social media to bring attention to what was happening.

Interactive story by Thinking Machines

 

Stephanie Sy: Our first data journalism project as a team at Thinking Machines was a series of interactive stories on traffic accidents in Metro Manila. We cleaned and analysed a set of Excel sheets of 90,000 road accidents spanning 10 years.

It was the first project we worked on as a mixed team of journalists, designers, and data scientists, and the first time we tried to build something from scratch with d3.js! I worked on the d3 charts, and remember being in utter despair at how hard it was to get the interactive transitions to render nicely across different browser types. It was surprisingly well received by the local civic community, and that positive feedback emboldened us to keep working.

 
Connected China, Thomson Reuters

 

Yolanda Ma: One of my first projects was Connected China for Thomson Reuters, which tracked and visualised the people, institutions and relationships that form China’s elite power structure (learn more about it here).

This project taught me the importance of facts and every piece of data in it (thousands, if not millions in total) went through a rigid fact-checking process (by human beings, not machines, unfortunately). I learned by doing that facts are the bones of data journalism, not fancy visualisations, even though this project turned out to be fancy and cool, which is good too.

 

Now, what was the latest project you worked on and how do the two compare?

 

ED: Towards the end of last year, I taught a data journalism module to City University London Master’s students who were able to pull together their own data visualisation projects in the space of an hour. The biggest difference is how vastly the interfaces have improved and how quick and intuitive the designs and interactive softwares are now. There are a lot more companies switched on to storytelling beyond TV or text and that knowledge combined, how do you stand out in the world of online news?

Complementary to that Al Jazeera was always a front runner because they were willing to take risks and try something new when no one else was. In the newsrooms I’ve worked at or see since, there is still a general aversion to risk taking in preference of safety — though everyone knows that to survive and thrive in this digital media landscape, its risk taking, innovation that is going push those boundaries and really get you places.

SS: Our latest related data story is a piece we put together visualising traffic jams across Metro Manila during the holiday rush season. This time we were looking at gigabytes of Waze jams data that we accessed through the Waze API. It definitely grew out of our early work in transit data stories, but reflects a huge amount on growth in our ability to handle complex data, and understanding of what appeals to our audience.

One big piece of learning we got from this is that our audience in the Philippines mainly interacts with the news through mobile phones and via Facebook, so complex d3 interactives don’t work for them. What we do now is to build gifs on top of the interactives, which we then share on Facebook. You can see an example of that in the linked story. That gets us a tremendous amount of reach, as we’re able to communicate complex results in a format that’s friendly for our audience.

YM: I’ve been doing data journalism training mostly in the past few years and helping others do their data projects, so nothing comparable really. The latest project I worked on is this Data Journalism MOOC with HKU in partnership with Google News Lab. It is tailored-made for practitioners in Asia, and it’s re-starting again soon (begins March 6), so go on and register before it’s too late!

 

What excites you about the future of data journalism and interactive news?

 

ED: The ability to tell stories in a cleaner, more engaging way. Literally everything can be turned into a story just by interrogating the data, being curious and asking questions. The digital news world has always been driven by data and it’s exciting to see how “traditional” journalism is embracing this more. I love this example from Berliner Morgenpost where they charted this bus line in Berlin, combined with a dash cam comparing various data such as demographics, voting. Its an ingenious way of taking complex data and breaking it into a meaningful, engaging way rather than pie charts.

M29 from Berliner Morgenpost

 

SS: There are tremendous amounts of data being generated in this digital age, and I think data journalism is a very natural evolution of the field. Investigative journalists should be able to use computer science skills to find their way through messy datasets and big data. It’s absolutely reasonable to expect that a news organization might get a 1 terabyte dump of files from a source.

YM: It excites me because it is the future. We live in the age of data, and the inevitable increasing amount of data available means there is growingly huge potential for data journalism. People’s news consumption is also changing and I believe personalisation is one of the key characteristics for the new generation of consumers, which means interactive news — interactive in many different ways — will thrive.

 

How are Asian and Middle Eastern media organisations (depending on your experience) doing in terms of data journalism and interactive news compared to the rest of the world?

 

ED: I think Al Jazeera has always been a pioneer in this. They have a great interactive team that drew together people from various disciplines within the organisation — coders, video people, designers, journalists — before everyone else was doing it and they’ve been able to shed light on stories that wouldn’t usually be picked up on by mainstream media radars.

Example that illustrates my point: The project “Broken homes, a record year of home demolitions in occupied East Jerusalem” by Al Jazeera

“Broken homes, a record year of home demolitions in occupied East Jerusalem” by Al Jazeera

 

SS: We have a few media organisations like the Philippine Center for Investigative Journalism, Rappler, and Inquirer who have been integrating data analysis into their reporting, but there isn’t anyone regularly producing complex data journalism pieces.

Our key problem is the lack of useful datasets. A huge amount of work goes into acquiring, cleaning, and triple checking the raw data. Analysis is “garbage in, garbage out” and we can’t create good data journalism without the presence of good data. This is where the European and North American media organisations have an edge. Their governments and civic society organisations follow open data standards, and citizens can request data [via FOIA]! The Philippine government has been making serious progress towards more open data sharing, and I hope they’re able to sustain that commitment.

Example that illustrates my point: PCIJ’s Money Politics project is a great example of an organisation doing the data janitorial work of acquiring and validating hard-to-find data. During our last presidential elections in 2015, GMA News Network and Rappler both created hugely popular election tracking live data stories.

PCIJ’s Money Politics

 

YM: Media organisations in Asia are catching up on data journalism and interactive news. There are some challenges of course, for example, lack of data in less developped countries, lack of skills and talents (and limited training opportunities), and even poor infrastructure or unstable internet especially in rural areas that would limit the presentation of news stories. Despite the difficulties, we do see good works emerging, though not necessarily in English. Check out some of the stories from the last GIJN’s Investigative Journalism Conference held in Nepal and you’ll get an idea.

Example that illustrates my point: This Caixin Media data story analysed and visualised the property market in China for the past few years.

 

Another New Normal, Caixin Media

 

What view do you have on the role of women in the world of news today? How is it being a woman in your respective work environment? Do you feel it makes a difference? If so, which one and why?

 

ED: Women are underrepresented not just in news coverage but in leadership positions too. I have to admit though that being at Deutsche Welle, I see a lot more women in senior management and it feels like a much more egalitarian working environment. However looking at my overall experience as a woman in news, you do face a lot of sexism and prejudice. Every woman I know has a story to tell and when the latest story about Uber came out a lot of my female colleagues around me were nodding their heads.

What got me through challenging times is having a fantastic network of female role models and mentors who are there to support you. That was one piece of advice I gave to prior teams, get a mentor. A lot of women feel isolated or feel the way they are treated is normal but it’s not. Women should also be aware that there is a real risk you will be punished if you speak up, challenge the status quo and tow the party line. If this happens, it’s an environment or team you probably shouldn’t be in anyway.

SS: It’s alarming to see parties around the world trying to stifle the voices of anyone who doesn’t belong and calling any news that doesn’t flatter them as “fake news.”. It’s important for us to speak up as women, and to practice intersectionality when it comes to other marginalised communities. As people who work with data, we can see past the aggregates and look at the complex messy truth. We must be able to communicate that complexity in order for our work to make a difference.

YM: Most of the data journalism teams in China are led by woman, and I think they are doing really well 🙂

 

What do you think makes a great data journalism project? What will you be looking for when marking projects for the Data Journalism Awards this year?

 

ED: Simplicity. It’s easy to get lost in data and try to do too much, but it’s often about taking something complex and making it accessible for a wider audience, getting them to think about something they haven’t or perhaps consider in a different way. I’ll be looking for the why — why does this matter, does this story or project make a dent in the universe?

After all, isn’t that what telling stories is about? The obvious thing that comes through is passion. It’s also something obvious but you can tell when a person or team has cared and really invested into the work versus projects being rolled off a conveyor belt.

SS: A great data journalism project involves three things: novel data, clever analytical methods, and great communication through the project’s medium of choice. I’m hoping to see a wide variety of mediums this year!

Will someone be submitting an audio data journalism project? With all the very exciting advances in the field of artificial intelligence this year, I’m also hoping to see projects that incorporate machine learning, and artificial intelligence.

YM: I believe data journalism is after all journalism — it has to reveal truth and tell stories, based or driven by data. I’ll be looking for stories that do make an impact in one way or another.

 

If you had one piece of advice for people applying for the Data Journalism Awards competition, what would it be?

 

ED: Don’t be intimidated by the competition or past award winners. Focus on what you do best. I say this especially for those applying for the first time, I see a lot of hesitation and negative self talk of ‘I’m not good enough’ etc. In every experience there’s something to learn, so don’t hesitate.

SS: Don’t forget to tell a story! With data science methods, it’s easy to get lost in fancy math and lose track of the narrative.

YM: Tell us a bit about the story behind your story — say, we may not know how hard it might be to get certain data in your country.

 

What was the best piece of advice you were ever given in your years of experience in the media industry?

 

ED: Take every opportunity. That’s related to a quote that has been coming up over and over again for the past week or so, “success is when preparation meets opportunity.”

SS: One of my best former bosses told me to imagine that a hungover, unhappy man with a million meetings that day was the only reader of my work. He haunts me to this day.

YM: I started my career with the ambition (like many idealistic young people) to change China. My first (and second) boss Reg Chua once said to me, don’t worry about changing China but focus on making small changes and work with a long-term vision. Sounds cliche.

He said that to me in 2012. The next year, together with two other friends I started DJChina.org, which started in 2013 as a small blog and now grown to be one of the best educational platforms for data journalism practitioners in China. The year after, in 2014, Open Data China was launched (using the domain name I registered a few years back), and indicated a bottom-up movement to push for more open data, which was incorporated into national policy within a year. So I guess all these proved that Reg was right, and it could be applied to anywhere, or anything. Think big, act small, one story (or project) at a time, and changes will happen.

 


left to right: Yolanda Ma (Data Journalism China), Esra Dogramaci (Deutsche Welle, formerly BBC and Al Jazeera), and Stephanie Sy (Thinking Machines)

 

Stephanie Sy is the founder of Thinking Machines, a data science and data engineering team based in the Philippines. She brings to the jury her expertise in data science, engineering and storytelling.

Yolanda Ma is the co-founder of Data Journalism China, one of the best educational platforms for data journalism practitioners in China. Not only representing the biggest country in Asia, she also has experience teaching data skills to journalists and a great knowledge of data journalism from her region.

Esra Dogramaci has now joined Deutsche Welle and formerly worked with the BBC, Al Jazeera in Qatar and Turkey, as well as the UN Headquarters and UNICEF. She brings to the DJA jury significant experience in digital transformation across news and current affairs, particularly in social video and off platform growth and development.

 


The Data Journalism Awards are the first international awards recognising outstanding work in the field of data journalism worldwide. Started in 2012, the competition is organised by the Global Editors Network, with support from the Google News Lab, the John S. and James L. Knight Foundation, and in partnership with Chartbeat. More info about cash prizes, categories and more, can be found on the DJA 2017 website.


marianne-bouchart

Marianne Bouchart is the founder and director of HEI-DA, a nonprofit organisation promoting news innovation, the future of data journalism and open data. She runs data journalism programmes in various regions around the world as well as HEI-DA’s Sensor Journalism Toolkit project and manages the Data Journalism Awards competition.

Before launching HEI-DA, Marianne spent 10 years in London where she worked as a web producer, data journalism and graphics editor for Bloomberg News, amongst others. She created the Data Journalism Blog in 2011 and gives lectures at journalism schools, in the UK and in France.

3 Golden Rules to #ddj — Ændrew Rininsland

1. Tell the reader what the data means

Tools like Tableau make it really easy to make exploratory visualisations, giving the user the ability to sift through the data and localise it to themselves. However, as tempting as this can be, the role of the data journalist it to tell the reader what the data means — if you have a dataset that includes the entire country but only a handful of locations are relevant to your story, an exploratory map isn’t the best approach. Aim for explanatory visualisations.

 

2. Simple is usually better

A quick glance through the examples page of d3js.org reveals a wealth of different and unusual ways to visualise data. While there are definitely occasions where an exotic visualisation method communicates the data more effectively than a simple line or pie chart, these are really rather rare. The Economist’s use of series charts to efficiently summarise an entire article in a tiny space demonstrates how effective the “classic” visualisation types are — there’s a reason they’ve stood the test of time (The Economist’s incredibly clear descriptions and simple writing style also really help here). Meanwhile, I don’t think I’ve ever gained any insights from a streamgraph, pretty as they are.

 

3. Code for quality

News moves really quickly, which can make it exceptionally difficult to code for quality over speed. Nevertheless, all aspects of your data visualisation need to work — a bug causing a minor element like a tooltip to not update or report the wrong data can at best reduce reader confidence, or at worst, taint a long and costly investigation, possibly even leading to libel proceedings. This is made all the more difficult by the fact that JavaScript is what’s referred to as a “weakly typed” language, meaning that variable types (strings, numbers, objects, et cetera) can mutate over the course of a script’s execution without throwing errors — for instance, `Number(a + b)` will either return the sum of `a` and `b` or the concatenated value of those two variables (e.g., `’1’ + ‘2’ = ‘12’`), depending on whether they’re strings or numbers to begin with. This can be incredibly difficult to discover and troubleshoot. Fortunately, projects like Flow and TypeScript seek to add type annotations to JavaScript, effectively solving this problem (My recent open source project, generator-strong-d3, makes it really easy to scaffold a D3 project using either of these). Another way to improve code quality is to provide automated tests, which are a bit more work at the outset but will prevent bugs from cropping up as you get frantic towards deadline. “Test-Driven Development” (TDD) is a good practise to get into as it encourages you to write tests at the very beginning and then develop until those pass. It’s also a lot faster than writing tests later (or not at all, i.e., “cowboy coding”) once you get the hang of it, as you can save a lot of time avoiding the “make a change, refresh, manually execute a behaviour, evaluate output, repeat” cycle.

 


 

Aendrew-Rininsland-profile-picture

Ændrew Rininsland is a senior newsroom developer at The Times and Sunday Times and all-around data visualisation enthusiast. In addition to Axis, he’s the lead developer for Doctop.js, generator-strong-d3, Github.js and a ludicrous number of other projects. His work has also been featured by The GuardianThe Economist and the Hackney Citizen, and he recently contributed a chapter to Data Journalism: Mapping the Future?, edited by John Mair and Damian Radcliffe and published by Abramis. Follow him on Twitter and GitHub at @aendrew.