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Climate Change

162 posts

Data Journalism

Data Journalism Top 10: Mission to Mars, Myanmar’s Protesters, Sand Mining, Journalism in Russia

by Peter Georgiev and Connected Action • February 26, 2021

After going through “seven minutes of terror,” NASA’s Perseverance rover managed to successfully touch down on Mars last week. Our NodeXL #ddj mapping from February 15 to 21 found reporting by The Wall Street Journal and Al Jazeera, which offers more insight into the rover’s journey to the red planet. In this edition, we also feature a story about the boom in independent journalism in Russia, an analysis of the future of South Africa’s coal mining industry, and a critique of data visualization’s ability to fully convey the realities of large-scale tragedies.

Data Journalism

Data Journalism Top 10: Polarized America, Australia’s Pandemic, Poland’s Toxic Air, the Arab Spring, Life as Lego

by Peter Georgiev and Connected Action • February 5, 2021

Our NodeXL #ddj mapping from January 25 to 31 found interactive projects by the Australian Broadcasting Corporation and The Guardian analyzing these events. In this edition, we also feature environmental reporting by The New York Times and The Economist, a Wall Street Journal story on the GameStop Reddit mania that shook stock markets, and a visual representation of 2020 using Lego bricks.

News & Analysis

Investigations 2021: From Vaccines and Climate Change to Surveillance and the Far Right

by Rowan Philp • January 28, 2021

Following a seismic year for accountability journalism in 2020, GIJN asked prominent investigative journalists around the world to share topics that their teams will be looking at in 2021. Feedback from editors in 14 countries indicates an unusual amount of subject overlap for watchdog reporters this year, centered around vaccines, technology, and autocracy.

Data Journalism

Data Journalism Top 10: Ranking Halloween Candy, Formula 1, Canadian Prisons, COVID-19 Indoors

by Eunice Au & Connected Action • October 29, 2020

Gearing up for Halloween? You’ll want to refer to our NodeXL #ddj mapping from October 19 to 25. We found FiveThirtyEight’s ultimate Halloween candy ranking from the archives to please the palates of finicky trick-or-treaters. This edition also includes The Economist’s mathematical model to determine whether Formula 1 racing success depends on its driver or the car engineer; The Globe and Mail examines bias in Canada’s prison system; and El Pais looks into how to reduce the probability of COVID-19 transmissions indoors.

Data Journalism

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

by Eunice Au & Connected Action • October 22, 2020

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

Data Journalism Top 10: Mapping the Pandemic, Shrinking Japan, Data Recipes, Extreme Temps, Google Election Searches, FinCEN Files

by Eunice Au & Connected Action • September 24, 2020

How fast is the coronavirus spreading in countries around the world? Our NodeXL #ddj mapping from September 14 to 20 finds data visualization designer Jan Willem Tulp simulating the speed of COVID-19 infections and German television news program ZDF heute mapping how the pandemic traversed the globe. Meanwhile, Thibi Recipes explores tutoring data journalism as if you’re following a cooking recipe, the Financial Times reports on climate extremes, and ICIJ and Buzzfeed bare suspect financial data.

Data Journalism

Data Journalism Top 10: Election Forecasts, The Sweatpants Era, Hong Kong Protests, DJ in Eastern Europe & Caucasus

by Eunice Au & Connected Action • August 20, 2020

One of the biggest issues that comes with visualizing election forecasts is how to incorporate uncertainty in a way that is understandable to readers. Our NodeXL #ddj mapping from August 10 to 16 finds FiveThirtyEight explaining their election forecast design process and considerations. Elsewhere, The New York Times Magazine has been digging into the collapse of the fashion industry, and the Hong Kong Free Press is teaming up with the Journalism and Media Studies Centre of The University of Hong Kong to expand its protest research archive.

Data Journalism

Data Journalism Top 10: Climate Migrants, COVID Testing Disparities, Outbreak Epicenters, Brazil’s Military

by Eunice Au & Connected Action • July 30, 2020

In the midst of the pandemic, some newsrooms haven’t forgotten about the issue of climate change. Our NodeXL #ddj mapping from July 20 to 26 found ProPublica partnering with The New York Times Magazine to examine climate migration and where climate refugees are moving to. On the COVID-19 front, FiveThirtyEight revealed the disparities in the availability of testing sites between Black and Hispanic neighborhoods and white areas, broadcaster RBB highlighted that the risk of coronavirus was more keenly felt by low-income earners, and the Google News Initiative and Agência Lupa communicated the impact of the coronavirus by visually putting readers at the epicenter of an outbreak.

Data Journalism

Data Journalism Top 10: Humanizing COVID Deaths, Coronavirus Searches, Climate Change Songs, Brazil’s Cursing Cabinet

by Eunice Au & Connected Action • May 28, 2020

The devastating consequences of the coronavirus pandemic can get lost in the mass of numbers presented. Journalists are working hard to humanize the data. Our NodeXL #ddj mapping from May 18 to 24 finds The New York Times with a moving tribute to lives lost to COVID-19; Schema Design, the Google News Initiative, and Axios visualizing coronavirus-related Google searches; and The Atlantic revealing the US CDC conflated results of two types of coronavirus tests.

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