Data Journalism

Data Journalism Top 10: Musical Taste by Politics, Podcasts, Polling Problems, COVID Tweet Analysis

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The US presidential election dominated the Twitter chat waves last week. Our NodeXL #ddj mapping from November 2 to 8 found data journalists sharing live election results trackers by Bloomberg, The Washington Post, and The New York Times, while The Atlantic and Slate weighed in on the problems of polling. Elsewhere open source platform Mapbox is organizing an election mapping contest, and Lazer Lab created a dashboard to explore 29 million tweets related to COVID-19 shared by over half a million Americans.

Top 10 in Data Journalism

Data Journalism Top 10: Animating COVID Masks, Mapping US Campaign Cash, Homeless Arrests, Berlin Protests

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Research shows that masks are an essential defense against the coronavirus. Our NodeXL #ddj mapping from October 26 to November 1 finds The New York Times using animation and augmented reality to show just how masks work to filter and trap air particles that may carry the virus. This edition also includes several pieces on the United States presidential election: FiveThirtyEight founder Nate Silver talks to Vox about polling errors and uncertainties, freelance journalist Betsy Mason explains common shortcomings of US election maps, and NYT analyzed more than 25 million donations to Trump and Biden’s presidential campaigns.

Data Journalism

Data Journalism Top 10: Beirut Blast, Predicting Crime, US Election Simulators, and COVID in Ukraine

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What was the magnitude of the Beirut port blast and how did it compare to other infamous explosions in history? Our NodeXL #ddj mapping from August 31 to September 6 finds Reuters illustrating just how powerful last month’s blast was in relation to the Chernobyl disaster and other explosions. The Tampa Bay Times highlighted how a county sheriff’s office is using an algorithm to supposedly predict and intercept the criminals of the future, while The New York Times used satellite maps to show how physical and political geographies interact across the United States. ESPN has been looking into the potential of people in college football crowds to become COVID-19 super-spreaders, and Slate analyzed the overuse of the word “murmur” in the popular Twilight novel series.

Data Journalism

Top Ten #ddj: The Week’s Most Popular Data Journalism Links

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Here are the hottest data journalism tweets for Jan 16-22, per our NodeXL mapping: dataviz catalog (@flowingdata); Inaugurations compared (@pewresearch); big data & polls (@ddjournalism); Hispanics in America (@UniNoticias); Le Monde data (@decodeurs); Obama’s record (@nytimes); & more.