Global Investigative Journalism Network (https://archive.gijn.org/tag/elections/page/4/)
After six months of the global crisis, investigative journalists find themselves reporting on a precarious and demoralized world, which has seen millions of jobs and more than 775,000 lives lost. In a GIJN webinar titled “Where do we go from here?”, a panel of senior journalists from Bosnia, India, Uganda, and the United States shared tips on the topics now ripe for investigation, as well as areas to improve on.
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.
For this week’s Friday 5, where GIJN rounds up key reads from around the world in English, we’ve been reading about misinformation in both pandemic and election coverage, a slew of how-tos on doing data journalism in R, and the latest research on measuring impact.
Once confined to bands of protesters, the Black Lives Matter movement has spread across America. Our NodeXL #ddj mapping from June 15 to 21 finds The New York Times mapping the protests in more than 2,000 US cities and towns over a two week period. On the coronavirus front, The Telegraph analyzed the widening racial wealth gap caused by the pandemic, the Guardian and Liberty Investigates looked into police enforcing lockdown measures disproportionately against Blacks, Asians, and other minorities, while Important Stories and Holod Media examined the fines issued by Russian courts for lockdown violations during the pandemic.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 20 to 26 finds the Johns Hopkins Center for Systems Science and Engineering mapping the Wuhan coronavirus outbreak, Al Jazeera analyzing the impact that Ethiopia’s mega-dam project will have on the Nile river and its surroundings, Der Tagesspiegel outlining the changes in America over the course of Donald Trump’s presidency, and Alberto Cairo highlighting the importance of annotating data visualizations.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 27 to February 2 finds The New York Times and Der Tagesspiegel tracking the spread of the Wuhan coronavirus, TED-Ed educating viewers about how graphs can be manipulated to mislead readers, and a baseball fan watching every Houston Astros home game in 2017 to log each time they banged a trash can as part of a sign-stealing scandal.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 24 to March 1 finds The New York Times digging into some curious data from two Instagram accounts of the British royal family, Al Jazeera analyzing Trump’s plan to resolve the Israeli-Palestinian conflict, The Markup launching with an investigation into auto insurance algorithms, and Pew Research Center sharing some American election data snapshots.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 17 to 23 finds geographer Tim Wallace collecting some amusingly unusual maps, The Guardian analyzing the effect of Airbnb’s prevalence on home ownership in Great Britain, the Data Visualization Society evaluating the successes and shortcomings of its first year, and former Ogilvy & Mather chief creative officer Tham Khai Meng sharing how a Japanese newspaper utilized augmented reality to animate graphics.
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 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.