Data Journalism

GIJN’s Data Journalism Top 10: Luanda Leaks, A Disappeared Lake, Animated Graphics, Data Mapping, NICAR

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What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 13 to 19 finds the International Consortium of Investigative Journalists exposing how Africa’s richest woman really made her fortune, The Washington Post using satellite imagery to show the disappearance of an entire lake in the Philippines, El País sharing the behind-the-scenes process of their work, and Mike Reilley curating a mega list of useful data journalism tools.

Data Journalism

GIJN’s Data Journalism Top 10: Australia’s Deadly Wildfires, Sigma Awards, Best of Data Viz 2019

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What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from December 30, 2019 to January 5, 2020 finds The New York Times examining Australia’s brutal fire season, the launch of The Sigma Awards to honor outstanding data journalism, Der Tagesspiegel analyzing the major changes across the globe in the past decade, and inspiring best-of data visualization lists by Nathan Yau, Pew Research Center, ZEIT ONLINE, the Los Angeles Times and the Financial Times.

Data Journalism

GIJN’s Data Journalism Top 10 for 2019: People Are The Story, Pirates vs. Princesses, Open Source Journalism, How Charts Lie, UN Votes

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Throughout this year, we’ve brought you weekly “snapshots” of the Twitter conversation surrounding data journalism. But this week, we look at what the global data journalism community tweeted about the most during all of 2019. Below you’ll find links to stories from Brazil, Germany, Switzerland, the UK, the US, and elsewhere.

data driven journalism

Mapping Data Journalism on Twitter

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This intriguing graph depicts a network of 989 Twitter users whose tweets from January 13 to 24 contained the hashtag “#ddj” (data-driven journalism). We’re pleased to see that our site gijn.org was among the top domains and our data journalism resource page among the top URLs that appeared. This work is the brainchild of Marc Smith (@marc_smith), a sociologist of “computer-mediated collective action” who, among his varied activities, maps social media networks that reveal “the key people, groups, and topics discussed in a public conversation.”

How They Did It

How They Did It: Inside a Mega-Collaboration on the US-Mexico Wall

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More than 30 journalists set out to film and observe every foot of the border with Mexico, from Texas to California. The result was a fully interactive map with about 20 hours of aerial footage of the border, a seven-chapter story about the journey, 14 additional stories about the consequences of the wall, 14 mini-documentaries and an explanation of the history of the border itself. Here’s how they did it.

Data Journalism

GIJN’s Data Journalism Top 10: Air Pollution, China Cables, #29Leaks, Predators on Dating Apps

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What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from December 2 to 8 finds The New York Times visualizing particle pollution in augmented reality; various media outlets investigating #29Leaks, a global reporting project based on a massive data leak from an offshore services provider; Columbia Journalism Investigations and ProPublica digging into the problem of sexual predators lurking in dating apps; and The International Consortium of Investigative Journalists breaking down the significance of the China Cables.

data analysis

August’s Top Tools for Investigative Journalists

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The past few years have seen an explosion of digital tools that can be used to enhance journalism research and reporting. In this new monthly feature GIJN’s IT Coordinator Alastair Otter takes a look at some of the best and latest tools and techniques for enhancing investigative and data-driven journalism.

CAR

Data Journalism: GIJN’s Global Guide to Resources

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As our governments and businesses become increasingly flush with information, more and bigger data are becoming available from across the globe. Increasingly, investigative reporters need to know how to obtain, clean, and analyze “structured information” in this digital world.