How Media Fueled a Shoplifting Panic, and an AI-Journalism Experiment Gone Wrong

This holiday season, media outlets across the country are raising the alarm about an apparent crisis in retail crime. On this week’s On the Media, how the data about shoplifting don’t back up the alarmist coverage. Plus, the cost and consequences of media outlets turning to AI to generate stories. 1. Daphne Howland [@daphnehowland], senior reporter at Retail Dive, traces how one baseless data point about retail crime spread unquestioned in media. Listen. 2. Nicole Lewis, engagement editor at The Marshall Project, digs into the data that supposedly proves a shoplifting crisis. Listen. 3. Jeff Asher [@Crimealytics], co-founder of AH Datalytics, explains why perception of crime is often out of step with reality. Listen. 4. Jay Allred [@jayallred651], CEO of Source Media Properties, explains how a collaboration with Gannett and a non-generative AI model went wrong. Listen. On the Media is supported by listeners like you. Support OTM by donating today (https://pledge.wnyc.org/support/otm). Follow our show on Instagram, Bluesky, TikTok and Facebook @onthemedia, and share your thoughts with us by emailing [email protected]. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.