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: 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.

GIJN’s Data Journalism Top 10: Weird Maps, ‘Out of Control’ Airbnb, Augmented Reality Graphics, Russian Doctors, Brazilian Data

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 17 to 23 finds geographer Tim Wallace collecting some amusingly unusual maps, The Guardian analyzing the effect of Airbnb’s prevalence on home ownership in Great Britain, the Data Visualization Society evaluating the successes and shortcomings of its first year, and former Ogilvy & Mather chief creative officer Tham Khai Meng sharing how a Japanese newspaper utilized augmented reality to animate graphics.

GIJN’s Data Journalism Top 10: Sigma Awards, Campaign Trail Food, Data Cleaning Nightmares, Massive Leaks

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 10 to 16 finds The Guardian US analyzing food expenditure on the Democrats’ campaign trail, The Washington Post’s Steven Rich sharing the pains of cleaning spelling permutations in data, The International Consortium of Investigative Journalists explaining the process of handling the massive #LuandaLeaks records, and the Sigma Awards announcing its shortlist.

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.

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

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.