5 citations · 13 across the 11 of their papers we have counts for
12 papers
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…
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,…
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…
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…
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…
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…
Changes in Sentiments and User Engagement for 2024 U.S. Presidential Candidates After Biden's Withdrawal: An Analysis of TikTok Videos
Yuwei Chuai, Gabriele Lenzini
The 2024 U.S. presidential election has sparked widespread online discussions about the presidential candidates. Joe Biden's withdrawal from the race and Kamala Harris's subsequent…
Community-based fact-checking reduces the spread of misleading posts on social media
Yuwei Chuai, Moritz Pilarski, Thomas Renault +4
Community-based fact-checking is a promising approach to verify social media content and correct misleading posts at scale. Yet, causal evidence regarding its effectiveness in redu…
Community Fact-Checks Trigger Moral Outrage in Replies to Misleading Posts on Social Media
Yuwei Chuai, Anastasia Sergeeva, Gabriele Lenzini +1
Displaying community fact-checks is a promising approach to reduce engagement with misinformation on social media. However, how users respond to misleading content emotionally afte…
From News Source Sharers to Post Viewers: How Topic Diversity and Conspiracy Theories Shape Engagement With Misinformation During a Health Crisis
Yuwei Chuai, Jichang Zhao, Gabriele Lenzini
Online engagement with misinformation threatens societal well-being, particularly during health crises when susceptibility to misinformation is heightened in a multi-topic context.…
Is Fact-Checking Politically Neutral? Asymmetries in How U.S. Fact-Checking Organizations Pick Up False Statements Mentioning Political Elites
Yuwei Chuai, Jichang Zhao, Nicolas Pröllochs +1
Political elites play an important role in the proliferation of online misinformation. However, an understanding of how fact-checking platforms pick up politicized misinformation f…