Global Investigative Journalism Network (https://archive.gijn.org/tag/climate-crisis/)
This week’s list of the top 10 data journalism stories on Twitter includes a tool for testing your newsworthiness as a missing person, broken corporate promises not to fund 2020 US election deniers, and a timeline of Iran’s nationwide protests.
The warnings are stark. “It is virtually certain that global mean sea level will continue to rise over the 21st century,” wrote scientists in the August 2021 report of the United Nations Intergovernmental Panel on Climate Change (IPCC), the key UN scientific body focusing on this crisis.
The dramatic effects of sea level rise can be visualized in a variety of ways. For emotional appeal, digitally modified photos can show how rising water levels might affect treasured monuments and buildings.
Our weekly project that maps the most popular data journalism stories on Twitter found several environmental projects this week, including a climate disaster in Germany, air pollution in South Asia, and deforestation in Brazil. We also feature more data-driven coverage of the Tokyo Olympics, an investigation into Bulgarian coal plants, and a guide to creating appealing data visualizations based on simple charts.
The advancement of technology and availability of complex data tools has been a real boon to society, but utilizing the wrong tools for the job can have dire consequences. Our NodeXL #ddj mapping from October 5 to 11 finds British media organizations the BBC and the Guardian reporting on a blunder by the English national health authority: it used the wrong Excel file format to store data, resulting in the loss of thousands of COVID-19 test data results. Meanwhile, German television news program ZDF heute highlighted how the Arctic has reached record high temperatures this year, DCist and Spotlight DC examined problems in the process of evictions, and we find Information is Beautiful offering a daily feed of uplifting news among the gloom of 2020’s news cycle.
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.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from March 2 to 8 finds a list of COVID-19 related data visualizations selected by health activist Joel Selanikio, Folha De S. Paulo analyzing Brazilian President Jair Bolsonaro’s tweets, VoxEurop highlighting the potential disappearance of the world’s beaches due to climate change, and Davis Vilums mapping every central London street over four years by cycling.
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.