Data Journalism Top 10: Border Disputes, Mediterranean Gas, Data Reporting Grants, Newsroom Cuts

Territorial disputes — over land, borders, or resources — are a long-standing source of tension around the world. Our NodeXL #ddj mapping from September 7 to 13 finds Al Jazeera explaining the India-China dispute over a shared Himalayan border in seven maps, and the Financial Times attempting to put into context the tensions between Turkey and its neighbors competing over natural gas discoveries. We also find Stanford University and Big Local News offering data reporting grants on the pandemic, and other groups offering free data journalism workshops and webinars.

Data Journalism Top 10: Beirut Blast, Predicting Crime, US Election Simulators, and COVID in Ukraine

What was the magnitude of the Beirut port blast and how did it compare to other infamous explosions in history? Our NodeXL #ddj mapping from August 31 to September 6 finds Reuters illustrating just how powerful last month’s blast was in relation to the Chernobyl disaster and other explosions. The Tampa Bay Times highlighted how a county sheriff’s office is using an algorithm to supposedly predict and intercept the criminals of the future, while The New York Times used satellite maps to show how physical and political geographies interact across the United States. ESPN has been looking into the potential of people in college football crowds to become COVID-19 super-spreaders, and Slate analyzed the overuse of the word “murmur” in the popular Twilight novel series.

Data Journalism Top 10: Tracking Police Accountability; Racism and Housing; China’s Hidden Prison Camps

The police shooting of Jacob Blake, a 29-year-old African American man, in the United States has reignited national unrest just months after the death of George Floyd. Our NodeXL #ddj mapping from August 24 to 30 finds ProPublica documenting police violence against Black Lives Matter protesters and tracking police accountability. The New York Times shows how the process of redlining, or denying mortgage finance to predominantly Black neighborhoods from the 1930s onwards, has resulted in heat disparities among cities, and BuzzFeed News uncovers scores of new internment camps in Xinjiang, China, by analyzing satellite data.

Data Journalism Top 10: North Korea Ghost Ships, Trolls Attack WHO, Al Pacino’s Wardrobe, COVID Air Travel

Satellite imagery has become increasingly useful in establishing evidence of human rights abuses and in shining a light on dubious activities being conducted in secretive parts of the world. Our NodeXL #ddj mapping from August 17 to 23 finds NBC News utilizing satellite data to solve a long-standing mystery about North Korean “ghost boats” washing up on Japanese shores, The New York Times analyzing footfall data to determine how the coronavirus pandemic has influenced consumer spending, and Bellingcat revealing a coordinated network of attacks on Twitter against the director general of the World Health Organization (WHO).

Here’s Why Investigative Reporters Need to Know Knowledge Graphs

Across the data science community, knowledge graphs have become a growing phenomenon in recent years, driving many applications including virtual assistants like Siri and Alexa. Friedrich Lindenberg, from the Organized Crime and Corruption Reporting Project, writes about how its data platform Aleph makes use of knowledge graphs to help investigative reporters analyze and cross-reference data.

Data Journalism Top 10: Election Forecasts, The Sweatpants Era, Hong Kong Protests, DJ in Eastern Europe & Caucasus

One of the biggest issues that comes with visualizing election forecasts is how to incorporate uncertainty in a way that is understandable to readers. Our NodeXL #ddj mapping from August 10 to 16 finds FiveThirtyEight explaining their election forecast design process and considerations. Elsewhere, The New York Times Magazine has been digging into the collapse of the fashion industry, and the Hong Kong Free Press is teaming up with the Journalism and Media Studies Centre of The University of Hong Kong to expand its protest research archive.

Data Journalism Top 10: Herd Immunity Calculator, Post-COVID Offices, Back-to-School Jitters

How many people need to get infected or die of the coronavirus before we reach a herd immunity threshold? Our NodeXL #ddj mapping from August 3 to 9 finds that The Washington Post created a herd immunity calculator to estimate this. Also in the Data Journalism Top 10 this week: BBC’s Visual and Data Journalism team illustrates the future of work environments post-COVID-19, The New York Times shares projections of the potential number of children who may carry the virus back to school in the fall according to county, and Oregon Public Broadcasting discovers a surprising reason for the low incidence of coronavirus transmission in bars and restaurants in the US state of Oregon. 

Data Journalism Top 10: Climate Migrants, COVID Testing Disparities, Outbreak Epicenters, Brazil’s Military

In the midst of the pandemic, some newsrooms haven’t forgotten about the issue of climate change. Our NodeXL #ddj mapping from July 20 to 26 found ProPublica partnering with The New York Times Magazine to examine climate migration and where climate refugees are moving to. On the COVID-19 front, FiveThirtyEight revealed the disparities in the availability of testing sites between Black and Hispanic neighborhoods and white areas, broadcaster RBB highlighted that the risk of coronavirus was more keenly felt by low-income earners, and the Google News Initiative and Agência Lupa communicated the impact of the coronavirus by visually putting readers at the epicenter of an outbreak.

Data Journalism Top 10: Pace of Global COVID-19 Deaths, Who Can Work from Home, Visualizations for the Colorblind, Skin Tone and Sports

It is hard to comprehend the true impact of COVID-19 around the world. Our NodeXL #ddj mapping from June 29 to July 5 finds Reuters trying to visualize the alarming rate of deaths related to the coronavirus pandemic, Datawrapper examining which employees can actually afford to work from home, and data journalist Carmen Aguilar García writing about using R programming language and automating repetitive data processes in order to keep up with the demand for pandemic news.

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