Data Journalism

Data Journalism Top 10: Viral Dataviz, DIY Masks, Breaking the Wave, China and US Response to COVID

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From “flattening the curve” to “social distancing,” and now “breaking the wave,” the global data journalism community is using new terminology in its attempts to explain the intricacies of COVID-19 to the masses. Our NodeXL #ddj mapping from April 6 to 12 finds Reuters Graphics explaining their “breaking the wave” chart, The Washington Post helping readers figure out the best material to use to make their own masks, the Financial Times comparing the response of China and the United States in handling the pandemic, and Press Gazette highlighting the huge appetite for data-driven visual journalism about COVID-19.

Top 10 in Data Journalism

Data Journalism Top 10: COVID TikTok, Fact-Checking Coronavirus, Trump Narcissism, Pandemic Economy

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The popularity of TikTok has surged during the pandemic, and one particular “data investigation” clip has gone viral. Our NodeXL #ddj mapping from April 20 to 26 found TikTok user Rebecca fact-checking a woman’s claim about the COVID-19 quarantine and her grey hair roots, the Coronavirus Fact-Checking Alliance visualizing the thousands of fact checks they have produced during the pandemic, The New York Times analyzing United States President Donald Trump’s messages about the country’s coronavirus response, and FiveThirtyEight examining how concerned Americans are about the coronavirus compared to the economy.

Data Journalism

Data Journalism Top 10: Bill Gates Conspiracies, COVID-19 Excess Mortality, Home Deaths Spike, Test Kits

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Misinformation has grown ubiquitous during the COVID-19 pandemic, so much so that World Health Organization Director-General Tedros Adhanom Ghebreyesus proclaimed: “We’re not just fighting an epidemic; we’re fighting an infodemic.” Microsoft co-founder Bill Gates has emerged as a favorite target of disinformation actors, according to The New York Times, that we discovered through our NodeXL #ddj mapping from April 13 to 19. We also found The Economist and ProPublica examining the true impact of the pandemic by looking into “excess mortalities” such as home deaths, the Associated Press releasing and updating a coronavirus public dataset for the United States.

Data Journalism

Data Journalism Top 10: #StayAtHome by Income, Spanish Flu, African Americans, Flattening the COVID Curve

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Data journalists are starting to dig into the impact of the coronavirus and social distancing measures on poorer communities. Our NodeXL #ddj mapping from March 30 to April 5 finds The New York Times and Reuters using smartphone location tracking data to analyze the relationship between income and changes in people’s movements post-lockdowns, National Geographic visualizing how earlier implementation and longer social distancing measures can help slow infections and lower death rates, and ProPublica looking into the disproportionate infections among African Americans.

Data Journalism

Data Journalism Top 10: Social Distancing Interactive, Epidemic Modeling, Germany’s Low Death Rate, and Zuckerburg TikTok Video

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The coronavirus pandemic has resulted in the production of various interactives, charts, and simulations by data journalists and citizens around the world. This week’s NodeXL #ddj mapping from March 23 to 29 finds The New York Times explaining the dangers of ending social distancing measures by Easter, Germany’s Der Spiegel and Der Tagesspiegel measuring traffic levels and COVID-19 cases respectively, the Tampa Bay Times monitoring the situation in Florida, Kevin Simler making an interactive simulation to explain how general epidemics unfold, and Mona Chalabi creating a viral TikTok video on Mark Zuckerberg’s donation to advance coronavirus research.

Data Journalism

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

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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.

Data Journalism

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

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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.

Data Journalism

GIJN’s Data Journalism Top 10: Mapping Coronavirus, Saving the Nile, Protests in Hungary, Annotating Visualizations

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What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 20 to 26 finds the Johns Hopkins Center for Systems Science and Engineering mapping the Wuhan coronavirus outbreak, Al Jazeera analyzing the impact that Ethiopia’s mega-dam project will have on the Nile river and its surroundings, Der Tagesspiegel outlining the changes in America over the course of Donald Trump’s presidency, and Alberto Cairo highlighting the importance of annotating data visualizations.

Data Journalism

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

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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.

data driven journalism

GIJN’s Data Journalism Top 10: Pollution in China, Visualizing Punctuation and the World Cup

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What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from June 25 to July 1 finds @FinancialTimes’ timelapse map of pollution over China, @mcrosasb’s choice of five interesting World Cup 2018 visualizations and @Internews’ overview of its data journalism projects in developing country newsrooms.

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