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 machine learning and artificial intelligence in journalism, and the Investigative Reporting Workshop collating useful public datasets in one place.
Happy (Traffic-Free) Thanksgiving
Using data from 2018, Google Trends mapped out the most popular places people like to visit during the Thanksgiving holidays and the peak crowd times so you can plan your visits at non-peak hours to reduce wait times and stress. There’s also a map of popular side dishes by state. Want to play with more datasets? Google Trends Datastore has some fun ones from most popular Halloween costumes to Star Wars characters.
In case you're traveling in the next 24-48 hours, this graph might be of use.
— Lizbeth DeSelm (@LizbethDeSelm) November 26, 2019
Redefining Data Journalism Through Art
Using hand-drawn sketches and simple imagery, data journalist Mona Chalabi turns complex data into accessible and easily understandable illustrations. Her goal is to create visualizations that won’t alienate people or make people feel like “I’m not smart enough to understand this.” Al Jazeera profiles her work in a 25-minute video, including her preparations for an art exhibition and a data visualization workshop she teaches at London’s Design Museum.
"The Truth in Numbers: Redefining Data Journalism Through Art"https://t.co/ouvP5cAo9L
— Rob McEntarffer (@rmcenta) November 19, 2019
Data, Computation, and Journalism
“Reporters depend on data, and through computation they make sense of that data. This reliance is not new,” writes Bernat Ivancsics and Mark Hansen for the Tow Center for Digital Journalism. They dive into the history of data and computation in journalism and examine the complexities of using machine learning and artificial intelligence in reporting.
Every reporting beat is now a data beat, and computation is integral to investigation — but also a tool for generating both power and inequality. Ethical questions abound. Think all this is new? Travel with @TowCenter back to the 1964 World's Fair … https://t.co/zP5njnV1zs
— Jane Singer (@JaneBSinger) November 21, 2019
In an interview with IJNet, Alberto Cairo, Knight Chair in Visual Journalism at the University of Miami, talks to Corinne Podger about how charts can be misleading based on his book “How Charts Lie.” Podger summarizes five key takeaways from the book. For more, check out Cairo’s presentation slides on the topic for the Big Things Data & AI Conference.
— 𝐂𝐨𝐫𝐢𝐧𝐧𝐞 𝐏𝐨𝐝𝐠𝐞𝐫📱🎓 (@corinne_podger) November 18, 2019
Public Accountability Data
Searching across siloed public datasets can be arduous and time consuming. With this in mind, the Investigative Reporting Workshop built The Accountability Project to collect and put public data in one place to ease searches by journalists and researchers. More details in the launch story from July.
— amy eisman (@aeisman) August 13, 2019
BBC Data Journalism Training
The BBC’s Local News Partnership (LNP) is continuing its 12-week data journalism training scheme in 2020. Journalists working for organizations that are part of the partnership can apply for secondments at BBC’s Shared Data Unit. Deadline: December 20, 2019.
A timely reminder that we are now accepting applications for 2020/21 secondments with the Shared Data Unit. Closing date is December 20. https://t.co/af5APMUdHh
— Jason Gibbins (@Jgibbins) November 22, 2019
Visualizations Beyond Pie Charts
At this year’s African Investigative Journalism Conference, data journalists Alastair Otter and Laura Grant shared seven ways to visualize data stories, including story examples and tools to use. (Disclaimer: Otter is GIJN’s IT coordinator.)
In what other ways can a journalist visualize data beyond the use of the pie chart? During #AIJC19, two data journalism experts shared at least seven other different but just as easily understandable ways that it can be done. https://t.co/gL9oP3NHBv pic.twitter.com/tzcOnoupM5
— GIJN Africa (@gijnAfrica) November 20, 2019
Public Transport Versus Cars
The expansion of public transport is often one of the most popular political demands. Addendum was curious about which districts in Austria still had potential for such expansions. From its data analysis, it found that public transport could not compete with cars in a majority of the districts. (In German.)
Neues Projekt: Wir haben für jeden Bezirk aufgeschlüsselt, wo der öffentliche Verkehr gegenüber dem Auto konkurrenzfähig ist: Wie kommt man schneller ins nächste Zentrum bzw. die nächste Großstadt? https://t.co/E9eQdMUhNB #ddj pic.twitter.com/MhNUa1LAHt
— Gerald Gartner (@gerald_gartner) November 20, 2019
Guide: Data Journalism in Newsrooms
Sérgio Spagnuolo, publisher of Volt Data Lab, wrote a data journalism guide for newsrooms based on his experience and informal exchange of ideas with the data journalism community in Brazil. It covers preparation and capacity building, an ideal data journalism team, data sources, transparency policy, and more. (In Portuguese.)
— Sérgio Spagnuolo (@sergiospagnuolo) November 12, 2019
Early Bird Tickets for Dataharvest
The 10th annual Dataharvest & European Investigative Journalism Conference will be held in Mechelen, Belgium, from May 14 to 17. Early bird tickets are available until February 15. Need to convince your editor to send you there? Try these arguments.
— Paul Bradshaw (@paulbradshaw) November 22, 2019
Eunice Au is GIJN’s program coordinator. Previously, she was a Malaysia correspondent for Singapore’s The Straits Times, and a journalist at the New Straits Times. She has also written for The Sun, Malaysian Today, and Madam Chair.