{"ID":2869577,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.15434","arxiv_id":"2509.15434","title":"Beyond Community Notes: A Framework for Understanding and Building Crowdsourced Context Systems for Social Media","abstract":"Social media platforms are increasingly adopting features that display crowdsourced context alongside posts, a technique pioneered by X's Community Notes. These systems -- which we term Crowdsourced Context Systems (CCS) -- have the potential to reshape the information ecosystem as major platforms embrace them as alternatives to professional fact-checking. To understand the features and implications of these systems, we conduct a systematic literature review of existing CCS research (n=56) and analyze real-world CCS implementations. Based on our analysis, we develop a framework with two components. First, we present a theoretical model to conceptualize and define CCS. Second, we identify a design space encompassing six aspects: participation, inputs, curation, presentation, platform treatment, and transparency. We also surface normative implications of different CCS design and implementation choices. Our work integrates theoretical, design, and ethical perspectives to establish a foundation for future human-centered research on Crowdsourced Context Systems.","short_abstract":"Social media platforms are increasingly adopting features that display crowdsourced context alongside posts, a technique pioneered by X's Community Notes. These systems -- which we term Crowdsourced Context Systems (CCS) -- have the potential to reshape the information ecosystem as major platforms embrace them as alter...","url_abs":"https://arxiv.org/abs/2509.15434","url_pdf":"https://arxiv.org/pdf/2509.15434v3","authors":"[\"Travis Lloyd\",\"Tung Nguyen\",\"Karen Levy\",\"Mor Naaman\"]","published":"2025-09-18T21:17:18Z","proceeding":"cs.HC","tasks":"[\"cs.HC\",\"cs.CY\",\"cs.SI\"]","methods":"[]","has_code":false}