Beyond Community Notes: A Framework for Understanding and Building Crowdsourced Context Systems for Social Media

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lloyd, Travis, Nguyen, Tung, Levy, Karen, Naaman, Mor
Format:	Preprint
Published:	2025
Subjects:	Human-Computer Interaction Computers and Society Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

_version_	1866914471896678400
author	Lloyd, Travis Nguyen, Tung Levy, Karen Naaman, Mor
author_facet	Lloyd, Travis Nguyen, Tung Levy, Karen Naaman, Mor
contents	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.
format	Preprint
id	arxiv_https___arxiv_org_abs_2509_15434
institution	arXiv
publishDate	2025
record_format	arxiv
spellingShingle	Beyond Community Notes: A Framework for Understanding and Building Crowdsourced Context Systems for Social Media Lloyd, Travis Nguyen, Tung Levy, Karen Naaman, Mor Human-Computer Interaction Computers and Society Social and Information Networks 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.
title	Beyond Community Notes: A Framework for Understanding and Building Crowdsourced Context Systems for Social Media
topic	Human-Computer Interaction Computers and Society Social and Information Networks
url	https://arxiv.org/abs/2509.15434