52 citations · 81 across the 18 of their papers we have counts for
5 papers · 1 filter
Needs Your Help: Understanding Platform-Directed Rating Participation in Community Notes on X
Shuning Zhang, Changxi Wen, Jiuchang Wang +4
Community-based fact-checking is promising in countering misinformation, yet its scalability is constrained by slow rating accumulation. To address this challenge, platforms such a…
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…
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…
Fact-Checking Comments Precede Community Notes to Misleading Posts on X
Shuning Zhang, Dai Shi, Yuwei Chuai +6
Community-based fact-checking systems, such as X's Community Notes program, offer a potentially scalable approach against online misinformation diffusion. However, their efficacy i…
More Than Just Warnings:Exploring the Ways of Communicating Credibility Assessment on Social Media
Huiyun Tang, Björn Rohles, Yuwei Chuai +2
Reducing the spread of misinformation is challenging. AI-based fact verification systems offer a promising solution by addressing the high costs and slow pace of traditional fact-c…