Social Media Feed Elicitation
Abstract
Social media users have repeatedly advocated for control over the currently opaque operations of feed algorithms. Large language models (LLMs) now offer the promise of custom-defined feeds—but users often fail to foresee the gaps and edge cases in how they define their custom feed. We introduce feed elicitation interviews, an interactive method that guides users through identifying these gaps and articulating their preferences to better author custom social media feeds. We deploy this approach in a online study to create custom Bluesky feeds and find that participants significantly prefer the feeds produced from their elicited preferences to those produced by users manually describing their feeds. Through feed elicitation interviews, we advance users’ ability to control their social media experience, empowering them to describe and implement their desired feeds.
Fields of Study & Subjects
Mobile Crowdsensing and Crowdsourcing
Topic Modeling
Ethics and Social Impacts of AI
Publication details
- Journal / source
- Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Pages
- 1–28
- Publication date
- 13 April 2026