11 papers
CANote: Empowering Fact-checking Note Writing Through Scaffolded and Provenance-based Human-AI Collaboration
Shuning Zhang, Jingruo Chen, Yuwei Chuai +4
Crowdsourced fact-checking mechanisms, such as X's Community Notes, play a critical role in mitigating the spread of misinformation. However, drafting high-quality, evidence-based…
Towards Multi-Agent-Simulation-Based Community Note Evaluation
Changxi Wen, Shuning Zhang, Bohao Chu +5
Community-based fact-checking that relies on cross-consensus is expanding rapidly on social media platforms. However, the delay and low-ratio of cross-consensus community fact-chec…
Request a Note: How the Request Function Shapes X's Community Notes System
Yuwei Chuai, Shuning Zhang, Ziming Wang +3
X's Community Notes is a crowdsourced fact-checking system. To improve its scalability, X introduced ``Request Community Note'' feature, enabling users to solicit fact-checks from…
Collab: Fostering Critical Identification of Deepfake Videos on Social Media via Synergistic Annotation
Shuning Zhang, Linzhi Wang, Shixuan Li +5
Identifying deepfake videos on social media platforms is challenged by dynamic spatio-temporal artifacts and inadequate user tools. This hinders both critical viewing by users and…
Consensus Stability of Community Notes on X
Yuwei Chuai, Gabriele Lenzini, Nicolas Pröllochs
Community-based fact-checking systems, such as Community Notes on X (formerly Twitter), aim to mitigate online misinformation by surfacing annotations judged helpful by contributor…
Hiding Liker Identity Did Not Increase Engagement With Reputationally Risky Content on X (Formerly Twitter)
Yuwei Chuai, Manoel Horta Ribeiro, Gabriele Lenzini +1
In June 2024, X (formerly Twitter) made likes from public to private, offering a rare, platform-level opportunity to study how the visibility of engagement signals affects users' b…