What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 28 to February 3 finds @sciam highlighting a curious case of mapping cholera, @nbarrowman arguing that raw data is not as perfectly objective as imagined, @bbc tracking Trump’s performance, and @VismeApp compiling a list of the best data visualizations on climate change.
With the global spread of data journalism, the advent of artificial intelligence and the increasing use of big data moving alongside a rapid rise of disinformation, GIJN asked data journalism experts around the world what they anticipate for 2019. Here are their thoughts on the major trends, ideas and technologies that will affect how we do our jobs.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from December 31, 2018 to Jan 6, 2019 finds experts sharing their thoughts on machine learning in journalism with @storybench, @funkeinterativ and @webk1d’s useful tool to merge datasets, @pewresearch’s overview of female under-representation in online image searches, and an analysis by @EDNNews on corpses bodies sent back to El Salvador.
The past few years have seen an explosion of digital tools that can be used to enhance journalism research and reporting. In this new monthly feature GIJN’s IT Coordinator Alastair Otter takes a look at some of the best and latest tools and techniques for enhancing investigative and data-driven journalism.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from March 12 to 18 finds disturbing news from @NASAEarth about low Arctic sea ice and temperature anomalies in the North Pole, @seeingtheory ‘s redesigned educational website on probability and statistics and top ten ways to clean your data by @Microsoft.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 19 to 25 finds economist @SethS_D analyzing Spotify data to find the correlation between our birth year and our music influences, @infowetrust illustrates three centuries of iconic infographics in a beautiful 17th century-styled dataviz and @EdjNet’s Stats Monitor gives you #ddj news leads on European data.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 5 to 11 finds @flowingdata’s tips to visualizing missing or incomplete data, statistics of women’s challenges in journalism by @abraji and @generonumero and a cool income inequality interactive by @EconomicPolicy.
You don’t need the resources of The New York Times to create a data journalism team in your newsroom. But you do need to think out the structure. Here are 10 things you should consider if you are considering setting up your own team.
Wondering how to best adapt data journalism for broadcast? UK online journalism expert Paul Bradshaw has done a round-up of impressive examples from five countries — a primer on exploring data storytelling for video and television.
What’s the global #ddj community tweeting about? Our NodeXL mapping from June 5 to 11 includes #VisualTrumpery from @mcrosasb, analysis of Theresa May’s election disaster by @GuardianVisuals, dataviz structuring strategies from @eagereyes, and school enrollment woes in Delhi from @htTweets.
