What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from October 2 to 8 has @source‘s overview of two years of mass shooting visualizations in the U.S., @merbroussard‘s callout for information to future-proof data stories, and @paulbradshaw sharing his four favorite computational-thinking examples from @DailyMirror, @puddingviz, @BuzzFeed and @washingtonpost.
Visualizing Mass Shootings
The Source team kept tabs on two years of interactives and data on gun killings in the U.S. Here’s an overview of the coverage.
— Mike Bowser (@mikebowser) October 6, 2017
Saving Data Projects
From interactive visualizations to easy-to-use databases, storytelling with data has revolutionized modern reporting. But these projects are disappearing from the internet because newsrooms have no process for archiving these stories. To help out, take the survey; the results will be used to create new tools for preserving data journalism.
— Alberto Cairo (@albertocairo) October 7, 2017
Here’s Paul Bradshaw’s list of four favorite examples of computational thinking being used to spot and execute data journalism stories. The examples are from the Mirror, The Pudding, Buzzfeed and The Washington Post.
— Christina Zaba (@christinazaba) October 7, 2017
Data Journalism Definition
Andy Dickinson presents his definition to good data journalism — when it has a visible methodology and data. Otherwise, it may be good journalism but it’s not good data journalism.
— Andy Dickinson (@digidickinson) October 3, 2017
Collaborative Journalism Models
The Center for Cooperative Media at New Jersey’s Montclair State University studied the rise of cooperation among news entities, and published a report outlining how collaborative journalism has “evolved from experiment to common practice.” The report, written by research director Sarah Stonbely, identifies six models for collaborative journalism and catalogs 44 ongoing collaborations across 500-plus newsrooms.
— EJC (@ejcnet) October 3, 2017
Investigative Data Journalism
The Global Editors Network gathered Amita Kelly of NPR (U.S.), Jelena Vasić of KRIK (Serbia) and Tiago Mali of ABRAJI (Brazil) to discuss the challenges of using data to hold the powerful accountable.
— Advocacy Assembly (@Advocassembly) October 8, 2017
Visual Network Exploration
Tommaso Venturini, Mathieu Jacomy, Liliana Bounegru and Jonathan Gray’s paper “Visual Network Exploration for Data Journalists” dissects the potential of networks for exploration and collaborations between data journalists and digital researchers.
— Liliana Bounegru (@bb_liliana) October 4, 2017
The da Vinci of Data
StoryLab Academy Alerts
Sign up here to receive alerts about the next StoryLab Academy webinars, newsroom-based workshops and meetups in partnership with local Hacks/Hackers chapters.
— Code For Africa (@Code4Africa) October 4, 2017
German Election Analysis in R
Berliner Morgenpost‘s interactive team prepared a script in the statistical programming environment R for their analysis of German election data. It includes the preprocessing — cleaning and structuring the raw data — and the analysis.
— Julius Tröger (@juliustroeger) October 4, 2017