Group items tagged

"Radar aims to automate local reporting with large public databases from government agencies or local law enforcement - basically roboticizing the work of reporters. Stories from the data will be penned using Natural Language Generation, which converts information gleaned from the data into words. The robotic reporters won't be working alone. The grant includes funds allocated to hire five journalists to identify datasets, as well as curate and edit the news articles generated from Radar. The project also aims to create automated ways to add images and video to robot-made stories."

"Fact-checking has gained prominence as a reformist movement to revitalize truth-seeking ideals in journalism. While fact-checkers are often assumed to code facts accurately, no studies have formally assessed fact-checkers' performance. I evaluate the performance of two major online fact-checkers, Politfact at Tampa Bay Times and Fact Checker at Washington Post, comparing their interrater reliability using a method that is regularly utilized across the social sciences. I show that fact-checkers rarely fact-check the same statement, and when they do, there is little agreement in their ratings. Approximately, 1 in 10 statements is fact-checked by both fact-checking outlets, and among claims that both outlets check, their factual ratings have a Cohen's κ of 0.52, an agreement rate much lower than what is acceptable for social scientific coding. The results suggest that difficulties in fact-checking elites' statements may limit the ability of journalistic fact-checking to hold politicians accountable."