activity
20202026
most citedDid the Roll-Out of Community Notes Reduce Engagement With Misinformation on X/Twitter?

52 citations · 81 across the 18 of their papers we have counts for

collaborators
Showing 2026Show all

9 papers · 1 filter

cs.SI2026

Location transparency reduces activity by accounts misrepresenting their location on X

Yuwei Chuai, Thomas Renault, David Rand +1

Concerns about inauthentic accounts, including foreign actors posing as domestic voices, are central to debates about online discourse. Yet, little is known about accounts with ina…

cs.HC2026

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…

cs.AI2026

CoVer: Conflict-Aware Claim Verification

Shuning Zhang, Dai Shi, Bohao Chu +7

Social media fact-checking has long been challenged by evidence-level and aggregation-level conflicts, where erroneous evidence mimics authoritative news sources. To capture this c…

cs.SI2026

Community corrections have divergent downstream effects across corrected accounts

Yuwei Chuai, Thomas Renault, Nicolas Pröllochs +2

Community-based fact-checking can reduce the spread of annotated misleading posts, but whether it produces lasting behavioral change among corrected authors remains unclear. Here,…

cs.HC2026

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…

cs.SI2026

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…

cs.HC2026

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…

cs.SI2026★ 1 cited

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…

cs.SI2026

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…