Data journalists often encounter the term “standard deviation” when reading research, from climate change studies to social science papers. This tipsheet explains how researchers use this measure, and how reporters can benefit from the context it provides.
This week’s Top 10 in Data Journalism column looks at schools shootings in the US, the faces from China’s Uyghur detention camps, heat records in the US, migrants at the Polish-Belarus border, the parcels sent by the Russian troops back home or the suicide toll in European jails.
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.
Crowdfunding has become very popular in the Czech Republic, where it is often used to help launch independent media outlets or to get money to finance individual projects and cover specific topics.
GIJN asked investigative journalists around the world to look ahead at what’s in store for 2020. Here are the trends, key forces, and challenges they expect will affect investigative and data journalism in the coming year, as well as the new skills and approaches we should be thinking about.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from December 30, 2019 to January 5, 2020 finds The New York Times examining Australia’s brutal fire season, the launch of The Sigma Awards to honor outstanding data journalism, Der Tagesspiegel analyzing the major changes across the globe in the past decade, and inspiring best-of data visualization lists by Nathan Yau, Pew Research Center, ZEIT ONLINE, the Los Angeles Times and the Financial Times.
Throughout this year, we’ve brought you weekly “snapshots” of the Twitter conversation surrounding data journalism. But this week, we look at what the global data journalism community tweeted about the most during all of 2019. Below you’ll find links to stories from Brazil, Germany, Switzerland, the UK, the US, and elsewhere.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from November 25 to December 1 finds The New York Times profiling Bellingcat and its use of OSINT techniques; the International Consortium of Investigative Journalists and Stanford University collaborating to employ artificial intelligence to solve a journalistic problem; and the Science Communication Lab creating a beautiful interactive scientific poster to explore the world’s oceans.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from October 7 to 13 finds The New York Times tackling the topic of auto emissions as a significant climate problem, The Washington Post mapping the colors of America’s fall foliage across the nation, St. Louis Post-Dispatch sharing its newsroom process in data transparency, and Nicholas Strayer offering a tutorial to build your own cool resume using R.
The Global Investigative Journalism Network and the Native American Journalists Association have created a resource to help Indigenous investigative journalists. This unique guide is designed to encourage Indigenous journalists worldwide and to empower them with tips, tools, and sources for information.
