Do Won Kim, a PhD student under GEIS researchers Giovanni Ciampaglia and Cody Buntain, have a new paper accepted: “Understanding the Gap Between Stated and Revealed Preferences in Social Media News Feeds”. Social media algorithms learn from users’ past behavior, but what people engage with often doesn’t match what they actually value. This study demonstrates that young adults frequently consume low-quality content despite preferring higher-quality information, and suggests that better feed design should reflect users’ values, like accuracy and diversity, while accounting for social context and trade-offs.
They are invited to present their findings at the 2026 CSCW conference in Salt Lake City, Utah!
