Data Journalism Top 10: Visualizing Hurricanes, Predicting Wildfires, Social Media Algorithms, Trump Loyalty Index

How does climate change increase the likelihood of weather extremes? Our NodeXL #ddj mapping from October 12 to 18 finds ProPublica examining how the warming global climate exacerbates wildfire activity, and designer Will Chase visualizing some of the most destructive hurricanes with an interactive wheel graphic. The Financial Times is summarizing key trends of the pandemic using charts, maps, and graphics, while The Markup announced its latest project looking into the black box algorithms of social media platforms.

Data Journalism Top 10: Black Voter Suppression, K-Pop, Data Privacy Rights, and Global Coronavirus Deaths

Personal data is big business, and not only for private firms. Our NodeXL #ddj mapping from September 21 to 27 finds a number of troubling investigations: Channel 4 News revealed that Donald Trump’s 2016 presidential campaign used personal data from Facebook and Cambridge Analytica to deter Black voters from casting their ballot; Consumer Reports found that companies were making it difficult for people to opt out of having their data sold despite a landmark California law that protects individual data rights; and Noteworthy and The Business Post highlighted a concerning lack of clear regulation surrounding access to, and use of, genetic and patient data by private firms.

Foro virtual: Lo que está en juego en las elecciones de los Estados Unidos

En este webinar de GIJN “Lo que está en juego en las elecciones de Estados Unidos”, el primero de dos enfocados en las elecciones, reunimos a tres periodistas estadounidenses que indagan en la política de su país para descubrir lo que está en juego y lo que los periodistas necesitan investigar.

Data Journalism Top 10: Herd Immunity Calculator, Post-COVID Offices, Back-to-School Jitters

How many people need to get infected or die of the coronavirus before we reach a herd immunity threshold? Our NodeXL #ddj mapping from August 3 to 9 finds that The Washington Post created a herd immunity calculator to estimate this. Also in the Data Journalism Top 10 this week: BBC’s Visual and Data Journalism team illustrates the future of work environments post-COVID-19, The New York Times shares projections of the potential number of children who may carry the virus back to school in the fall according to county, and Oregon Public Broadcasting discovers a surprising reason for the low incidence of coronavirus transmission in bars and restaurants in the US state of Oregon. 

Understanding the Authoritarian’s Playbook: Tips for Journalists

In “Democracy Undone: The Authoritarian’s Playbook,” The GroundTruth Project chronicles seven leaders whose instincts and inclinations herald a brand of populist nationalism that, if history is a guide, can lead to authoritarian government. From Brazil to Italy and the US, these global leaders seem to share common “plays,” including weaponizing fear, undermining institutions and targeting outsiders. GroundTruth fellows offer tips for journalists covering this rising authoritarianism.

GIJN’s Data Journalism Top 10: Trump’s Tweets, London’s Polluted Tube, Rising Seas, Data Voids

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from November 4 to 11 finds The New York Times analyzing more than 11,000 of Trump’s tweets, The Financial Times measuring air quality in London’s Underground, Der Tagesspiegel creating an interactive of the Berlin Wall, and Nieman Lab discussing data voids exploited by media manipulators.

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.

GIJN’s Data Journalism Top 10: Visualizing the 2018 News Cycle, the History of Football and Sacked Coaches

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 21 to 27 finds @schemadesign and @GoogleTrends teaming up to visualize news cycles in 2018, the @washingtonpost’s flyover tour of the entire US-Mexico border and two interesting football-related visualizations: @ftblsm’s history of football and @NZZ’s analysis of whether football coaches Jose Mourinho and Julen Lopetegui should have been sacked.