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coronavirus

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Data Journalism

Data Journalism Top 10: COVID-19’s Spread, Death Rates, and Curve Flattening; The Shape of Dreams; Transphobia Tracking

The attention of the global data journalism community remains very much tuned in to the developing COVID-19 pandemic, which is reflected in our NodeXL #ddj mapping from March 16 to 22. The New York Times mapped the movements of millions of people to trace how the virus spread out from China, The Financial Times tracked how coronavirus case trajectories compare among countries, while Robert Kosara explains the brilliance of a “Flatten the Curve” cartoon.

Case Studies

Investigative Journalism on the COVID-19 Crisis

Journalists around the world are investigating many angles of the coronavirus pandemic. GIJN has collected some of the best reporting to date, hoping these 50 examples from 17 countries will inspire even more investigative journalism.

Data Journalism

Data Journalism Top 10: Social Distancing, Coronavirus Clusters, Flattening the Curve, Trump Cherry-Picks Data

The novel coronavirus is very much dominating the Twitter chatter among the global data journalism community this week. Our NodeXL #ddj mapping from March 9 to 15 finds The Washington Post simulating different social distancing scenarios and their effects on slowing the spread of COVID-19, South China Morning Post highlighting research into a cluster case, Süddeutsche Zeitung charting the exponential growth in countries with high infection rates, and The New York Times spotlighting the jobs which put workers at the greatest risk of contracting the virus.

News & Analysis

9 Lessons from Chinese Journalists on Covering COVID-19

The COVID-19 outbreak has sparked a new wave of Chinese muckraking, despite years of suppression of investigative reporting. GIJN’s Chinese Editor Joey Qi speaks with Chinese journalists on the frontlines of the coronavirus outbreak about their tips for reporters around the world covering the pandemic.

Data Journalism

Data Journalism Top 10: COVID-19 Data Viz, Brazil President’s Tweets, Beach Erosion, India’s Influencers, London by Bike, Syllabi

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from March 2 to 8 finds a list of COVID-19 related data visualizations selected by health activist Joel Selanikio, Folha De S. Paulo analyzing Brazilian President Jair Bolsonaro’s tweets, VoxEurop highlighting the potential disappearance of the world’s beaches due to climate change, and Davis Vilums mapping every central London street over four years by cycling.

Reporting Tools & Tips

Tips for Journalists Covering COVID-19

It is difficult to fathom how far the novel virus might spread, and what the ultimate consequences will be. With all the uncertainties, journalists around the world are faced with the many challenges of covering the epidemic — including combating misinformation and health risks to reporters in the field — while not fueling panic.

News & Analysis

What Investigative Reporters Around the World Need to Be Asking About COVID-19

As coronavirus spreads globally, investigative journalists around the world are working to hold powers to account as they respond to the crisis. Veteran health journalist and expert on infectious disease and global health security, Thomas Abraham talks to GIJN about the questions investigative reporters need to ask in a rapidly changing environment. 

Data Journalism

GIJN’s Data Journalism Top 10: Coronavirus Outbreak, Misleading Graphs, Smartphone Tracking, Trash Can Banging, Mexico Murders

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 27 to February 2 finds The New York Times and Der Tagesspiegel tracking the spread of the Wuhan coronavirus, TED-Ed educating viewers about how graphs can be manipulated to mislead readers, and a baseball fan watching every Houston Astros home game in 2017 to log each time they banged a trash can as part of a sign-stealing scandal.