GIJN senior reporter Rowan Philip shares accumulated best practices from reporters around the world, on how to investigate culprits of war, human rights abuses, and other conflict.
At the Online Journalism Blog, data journalism expert Paul Bradshaw analyzed 100 pieces of data that journalists use and found that there are several common story angles.
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 tipsheet helps journalists avoid some of the most common errors related to statistcal significance in academic studies, which even trained researchers sometimes make.
Journalist Maeve McClenaghan was scrolling through Twitter when something caught her eye: a post from a local community member about a homeless person’s death. Digging deeper, she soon realized no one was collecting the relevant data to build a nationwide picture of how many homeless people were dying across the UK, sparking an 18-month investigation involving a network of over 1,000 contributors.
Our NodeXL #ddj mapping from June 22 to 28 finds The New York Times analyzing travel patterns and genetic data to show how the disease spread across the United States, and the impact it has had on nursing homes and elderly care facilities. The Washington Post is responding to the increasing importance of visual data communication by expanding its data and graphics team, and the Pulitzer Center is calling for data journalism story proposals.
GIJN has created a multi-part guide on where to obtain data about the spread of COVID-19 and its consequences. The document links to official and unofficial international sources on health and economic data, links to information on government policy responses, and more than a dozen sites working on pandemic projection modelling.
What will life be like after the coronavirus lockdown measures are relaxed? Our NodeXL #ddj mapping from April 27 to May 3 finds German news outlets ZDF heute and RBB24 looking into pedestrian traffic in Germany post-quarantine, the Financial Times and The New York Times highlighting the complexities of getting an accurate COVID-19 death toll and the problem of undercounting fatalities, and the Africa Centres for Disease Control and Prevention setting up a dashboard to track statistics related to the coronavirus across the region.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from September 2 to 8 finds Folha de São Paulo’s beautiful 3D animation of the Brazil National Museum’s restoration efforts, Guardian’s real-time visualization of Irish border crossings, NZZ’s look at China’s bad research impacting scientists worldwide, and The New York Times calculating the variability of New York City’s subway commute times.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from August 12 to 18 finds information designer Giorgia Lupi discussing how to embrace data complexity, The New York Times Opinion building a forking path visualization to predict an individual’s political leanings, the Guardian visualizing Brexit’s potential impact on the UK’s food imports, and El Universal Mexico looking at the incidences of crime claiming young victims.
