Data Journalism Top 10: Coronavirus Super-spreaders, Massive Unemployment, COVID-19 Life Expectancy, Violent Cops

Economies around the world have taken a big hit as countries implement lockdown measures to curb the spread of the coronavirus. Our NodeXL #ddj mapping from May 4 to 10 finds The New York Times looking into businesses that could be potential infection super-spreaders, and the alarmingly high unemployment rate, while German news media NDR and ZDF heute have examined lost life expectancy due to COVID-19 and the importance of intensive care beds. While Reuters published an important analysis into the use of little-known law that is increasingly being used to grant immunity to police who have used excessive force.

Data Journalism Top 10: Hidden COVID-19 Deaths, Post-Lockdown Traffic, Pandemic Data Overload, Wealth Inequality

What will life be like after the coronavirus lockdown measures are relaxed? Our NodeXL #ddj mapping from April 27 to May 3 finds German news outlets ZDF heute and RBB24 looking into pedestrian traffic in Germany post-quarantine, the Financial Times and The New York Times highlighting the complexities of getting an accurate COVID-19 death toll and the problem of undercounting fatalities, and the Africa Centres for Disease Control and Prevention setting up a dashboard to track statistics related to the coronavirus across the region.

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

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

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

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.

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

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

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 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.

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.

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.