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: 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.

GIJN’s Data Journalism Top 10: Women and the Oscars, February’s Sad Songs, Hollywood’s Franchises, Moscow’s Elite Owners

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 3 to 9 finds UOL highlighting the lack of gender equality among Oscar winners and G1 looking into problems of ageism in the Best Actress category. This edition also has The Economist analyzing Spotify data to find the most depressing month for listeners, Proekt Media investigating property owners in a prestigious residential area in Russia, and The Financial Times spotlighting the lack of innovation in the movie industry.

GIJN’s Data Journalism Top 10: Moscow Garbage, Mexican Homicide, EU Ideologies

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from May 13 to 19 finds a preview snippet on sensible charts from @albertocairo’s upcoming book “How Charts Lie,” @ladatamx’s report on homicides in Mexico, @RepublikMagazin’s analysis on the changing ideologies of political parties in the European Union, and a recap of the Data Journalism UK conference by @paulbradshaw.

GIJN’s Data Journalism Top 10: Mapping Cholera, Tracking Trump and Canada’s Data Gaps

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 28 to February 3 finds @sciam highlighting a curious case of mapping cholera, @nbarrowman arguing that raw data is not as perfectly objective as imagined, @bbc tracking Trump’s performance, and @VismeApp compiling a list of the best data visualizations on climate change.

What the Experts Expect for Data Journalism in 2019

With the global spread of data journalism, the advent of artificial intelligence and the increasing use of big data moving alongside a rapid rise of disinformation, GIJN asked data journalism experts around the world what they anticipate for 2019. Here are their thoughts on the major trends, ideas and technologies that will affect how we do our jobs.