Social Identity Theory and Algorithmic Bias (Carrasco-Farré et al. 205) | FT50 JMIS

English Podcast Starts at 00:00:00Bengali Podcast Starts at 00:13:42Hindi Podcast Starts at 00:25:19German Podcast Starts at 00:38:49ReferenceCarrasco-Farré, C., Grimaldi, D., Torrens, M., & Longobuco, E. (2025). Social Identity Theory and Algorithmic Bias: Ingroup and Outgroup Acrophily in Recommender Systems. Journal of Management Information Systems, 42(4), 1017–1054. https://doi.org/10.1080/07421222.2025.2561382Youtube Channel⁠https://www.youtube.com/@weekendresearcher⁠Connect over linkedinhttps://www.linkedin.com/in/mayukhpsm/🎙️ Welcome to Revise and Resubmit, the podcast where research meets revelation! 🌍Today, we’re diving into a paper that peers beneath the shiny surface of algorithms — the invisible hands shaping what we see, believe, and even feel. 🧠✨Published in the prestigious Journal of Management Information Systems — yes, one of the coveted FT50 journals — this study by Carrasco-Farré, Grimaldi, Torrens, and Longobuco, published by Taylor and Francis on November 19, 2025, explores a fascinating question: when recommender systems suggest content, are they simply mirroring our preferences, or are they magnifying our divisions? 📊🔥Their paper, “Social Identity Theory and Algorithmic Bias: Ingroup and Outgroup Acrophily in Recommender Systems,” uncovers a provocative duality. Algorithms don’t just nudge us toward content we agree with — they also lure us toward the extremes we oppose. That’s ingroup acrophily and outgroup acrophily, two shimmering twins of polarization born from the code that connects us. 🤖💥Across a million-and-a-half YouTube recommendations and hundreds of thousands of videos, this research builds a map of how digital systems amplify human emotions — anger, disgust, uncertainty — and turn them into engines of engagement. What emerges is a story not just about bias, but about how identity itself gets coded into the algorithmic bloodstream. 💬🔍So here’s the question we leave hanging in the air today:💡 Can algorithms ever be neutral — or do they simply wear humanity’s biases in digital disguise?A heartfelt thanks to the authors — Carrasco-Farré, Grimaldi, Torrens, and Longobuco — and to their publisher, Taylor and Francis, for enabling such thought-provoking scholarship in one of academia’s most respected journals. 🙏🎧 Don’t forget to subscribe to Revise and Resubmit on Spotify, and check out our video companion channel, Weekend Researcher, on YouTube. We’re also streaming on Amazon Prime and Apple Podcasts. Wherever you study, think, or sip your weekend coffee — we’ll be there turning academic pages into powerful conversations. ☕📚