Global Investigative Journalism Network (https://archive.gijn.org/category/data-journalism/page/5/)
This week’s most popular data journalism stories on Twitter include how Google ads fuel disinformation, an analysis of the online bubble of pro-Bolsonaro tweets, what marriages tell us about Russian mobilization numbers, and a timeline of the Itaewon crowd crush tragedy.
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.
From stories examing potential conflicts of interest among lawmakers in Peru and the US, to a data story revealing the history of Queen Elizabeth II’s portrait on banknotes worldwide, our column features the best in data journalism. Also this week: the dangers of so-called celebratory gunfire, displacement in the Democratic Repubilc of Congo, and how the war in Ukraine has impacted children living in institutional care.
Our weekly NodeXL and human curation of the most popular data journalism stories on Twitter features The Financial Times’ 10 charts visualizing developments in the United Kingdom during Elizabeth’s reign, The Marshall Project’s look at how government Covid-19 relief funds were used, and Taiwan Data Stories’ scrollytelling project about Taiwan’s iconic street food.
This week’s Top 10 in Data Journalism features the carbon footprint of celebrity jets, the unsanctioned destruction of the Amazon, secret documents seized from Trump, massive Pakistan flooding, and a look into the history of memes.
Without a primary visual medium, radio reporting has trailed other media formats in data journalism. But creative data solutions for radio are emerging — and experts shared a dozen tips to help radio reporters broaden their storytelling repertoires, populate digital versions of their stories with data, and empower listeners to visualize without visuals.
Data journalism can show trends, maps, and patterns, highlighting whether violence has gone up or down in a region, where conflict is located, and how this relates to conditions on the ground that impacts civilians, such as migration or refugees. Here’s more on how you can use it in your next investigation.
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.
Our weekly analysis of the most popular data journalism stories on Twitter features the mapping of Europe’s drought-stricken rivers, NASA’s plans to return to the moon, how the war in Ukraine compares to other modern conflicts, tracking a stolen truck, and examining Chinese censorship of foreign content with edited episodes of The Big Bang Theory.
This tipsheet helps journalists avoid some of the most common errors related to statistcal significance in academic studies, which even trained researchers sometimes make.