7 papers
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…
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…
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.…
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…
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…