What Investigative Journalism Will Look Like in 2020

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.

GIJN’s Data Journalism Top 10: Thanksgiving Travel, Visualization Art, Bad Charts, Dataharvest

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from November 18 to 24 finds Google Trends mapping the busiest places and times for Thanksgiving, Al Jazeera profiling the work of data journalist Mona Chalabi and her hand-drawn visualizations, the Tow Center for Digital Journalism examining the use of machine learning and artificial intelligence in journalism, and the Investigative Reporting Workshop collating useful public datasets in one place.

GIJN’s Data Journalism Top 10: Dealing Brexit, Following the Money, Swiss Greens, and a Kyrgyz Park Scam

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from October 21 to 27 finds a panel of leading data visualization practitioners discussing the practice of visualization in an age of disinformation, Kloop exposing how Kyrgyzstani authorities privatized large swaths of a public park with no oversight, and The Guardian highlighting the minimal changes between former British prime minister Theresa May’s Brexit deal with current PM Boris Johnson’s new deal.

GIJN’s Data Journalism Top 10: AI-Powered Investigations, Why Companies Donate, Data From PDFs, UK Pay Gap

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from April 8 to 14 finds a zine focused on machine learning-powered investigative journalism produced by @bxrobertz, a video explainer from @FT on whether big corporations are really generous or just avoiding taxes, @knowtheory and @amandabee reviewing seven optical character recognition tools and @workbenchdata offering a tutorial on visualizing @Twitter data.

What the Experts Expect for Data Journalism in 2019

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.

GIJN’s Data Journalism Top 10: El Salvador’s Corpses, Searching for Women, Merging Data

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.

GIJN’s Data Journalism Top 10: Muslims to Mecca, Women (Not) in Netflix, Inside Airbnb Europe, London’s Foul Air

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from Aug 20 to 26 finds @Numerama analyzing the representation of women in @netflix series and finds it lacking, @AJEnglish creating an interactive explainer on how 2 million Muslims make the pilgrimage to Mecca every year, @FT readers brainstorming air pollution solutions for London, and @Bastamag digging into data of @Airbnb — a cash cow for home renters.

GIJN’s Data Journalism Top 10: Simon Says, AI’s Breakthrough Year and Global Migration’s Portal

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from June 4 to 10 finds an awesome curated list of resources for visualizing music by @Willian_justen, a deep dive into unsolved murders across America by @washingtonpost and @CarbonBrief mapping of the past, present and future of global coal power plants.