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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.