Last week, journalists and technologists gathered at Duke to dream up new ways that automation could help fact-checking.
The first Tech & Check conference, sponsored by the Duke Reporters’ Lab and Poynter’s International Fact-Checking Network, brought together about 50 journalists, students and computer scientists. The goal was to showcase existing projects and inspire new ones.
The participants included representatives of Google, IBM, NBC News, PolitiFact, Full Fact, FactCheck.org and the WRAL-TV. From the academic side, we had faculty and Ph.D students from Duke, the University of North Carolina, University of Texas-Arlington, Indiana University and the University of Michigan.
The first day featured presentations about existing projects that automate some aspect of fact-checking; the second day, attendees formed groups to conceive new projects.
The presentations showcased a wide variety of tools and research projects. Will Moy of the British site Full Fact did a demo of his claim monitoring tool that tracks the frequency of talking points, showing how often politicians said the phrase over time. Naeemul Hassan of the University of Texas at Arlington showed ClaimBuster, a project I’ve worked on, that can ingest huge amounts of text and identify factual claims that journalists might want to check.
IBM’s Ben Fletcher showed one of the company’s new projects known as Watson Angles, a tool that extracts information from Web articles and distills it into a summary that includes key players and a timeline of events. Giovanni Luca Ciampaglia, a researcher at Indiana University, showed a project that uses Wikipedia to fact-check claims.
On the second day, we focused on the future. The attendees broke into groups to come up with new ideas for research. The groups had 75 minutes to create three ideas for tools or further research. The projects showed the many ways that automation can help fact-checking.
One promising idea was dubbed “Parrot Score,” a website that could build on the approach that Full Fact is exploring for claim monitoring. It would track the frequency of claims and then calculate a score for politicians who use canned phrases more often. Tyler Dukes, a data journalist from WRAL-TV in Raleigh, N.C., said Parrot Score could be a browser extension that showed the origin of a claim and then tracked it through the political ecosystem.
Two teams proposed variations of a “Check This First” button that would allow people to verify the accuracy of a URL before they post it on Facebook or in a chat. One team dubbed it “ChatBot.” Clicking it would bring up information that would help users determine if the article was reliable.
Another team was assigned to focus on ways to improve public trust in fact-checkers. The team came up with several interesting ideas, including more transparency about the collective ratings for individual writers and editors as well as a game app that would simulate the process that journalists use to fact-check a claim. The app could improve trust by giving people an opportunity to form their own conclusions as well as demonstrating the difficult work that fact-checkers do.
Another team, which was focused on fact-checker tools, came up with some interesting ideas for tools. One would automatically detect when the journalists were examining a claim they had checked before. Another tool would be something of a “sentence finisher” that, when a journalist began typing something such as “The unemployment rate last month…” would finish the sentence with the correct number.
The conference left me quite optimistic about the potential for more collaboration between computer scientists and fact-checkers. Things that never seemed possible, such as checking claims against the massive Wikipedia database, are increasingly doable. And many technologists are interested in doing research and creating products to help fact-checking.