Bonsai: Intentional and Personalized Social Media Feeds
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Abstract (arXiv)
Social media feeds use predictive models to maximize engagement, often misaligning how people consume content with how they wish to. We introduce Bonsai, a system that enables people to build personalized and intentional feeds. Bonsai implements a platform-agnostic framework comprising Planning, Sourcing, Curating, and Ranking modules. This framework allows users to express their intent in natural language and exert fine-grained control over a procedurally transparent feed creation process. We evaluated the system with 15 Bluesky users in a two-phase, multi-week study. We find that participants successfully used our system to discover new content, filter out irrelevant or toxic posts, and disentangle engagement from intent, but curating intentional feeds required more effort than they are used to. Simultaneously, users sought system transparency mechanisms to effectively use (and trust) intentional, personalized feeds. Overall, our work highlights intentional feedbuilding as a viable path beyond engagement-based optimization.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Sep 2025.
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Citing papers per year: 2026: 6.
6 papers.
- 2026The Hidden Toll of Social Media News: Causal Effects on Psychosocial Wellbeingcited by 4
- 2026Polarization by Default: Auditing Recommendation Bias in LLM-Based Content Curationcited by 1
- 2026Algorithmic Cultivation: How Social Media Feeds Shape User Languagecited by 0
- 2026LLM-Assisted Reranking to Operationalize Nuanced Objectives in Recommender Systemscited by 0
- 2026Compass: Continuously Aligning Social Media Feeds via In-Situ Reflectionscited by 0
- 2026AgentRecommender: LLM Agents Enable Customizable Recommender Systems on the User Sidecited by 0
- 2026AgentRecommender: LLM Agents Enable Customizable Recommender Systems on the User Side25 Sep 2026
- 2026Compass: Continuously Aligning Social Media Feeds via In-Situ Reflections4 Aug 2026
- 2026LLM-Assisted Reranking to Operationalize Nuanced Objectives in Recommender Systems1 Jun 2026
- 2026Algorithmic Cultivation: How Social Media Feeds Shape User Language16 May 2026
- 2026Polarization by Default: Auditing Recommendation Bias in LLM-Based Content Curation17 Apr 2026
- 2026The Hidden Toll of Social Media News: Causal Effects on Psychosocial Wellbeing20 Jan 2026