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We build a novel database of around 285,000 notes from the Twitter Community Notes program to analyze the causal influence of appending contextual information to potentially misleading posts on their dissemination. Employing a difference in…

综合经济学 · 经济学 2024-04-04 Thomas Renault , David Restrepo Amariles , Aurore Troussel

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 contributors on specific posts. Yet, its implications for…

社会与信息网络 · 计算机科学 2026-03-03 Yuwei Chuai , Shuning Zhang , Ziming Wang , Xin Yi , Mohsen Mosleh , Gabriele Lenzini

X's Community Notes, a crowd-sourced fact-checking system, allows users to annotate potentially misleading posts. Notes rated as helpful by a diverse set of users are prominently displayed below the original post. While demonstrably…

社会与信息网络 · 计算机科学 2024-11-12 Soham De , Michiel A. Bakker , Jay Baxter , Martin Saveski

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-checking. However, the problem of how to effectively…

人机交互 · 计算机科学 2025-03-14 Huiyun Tang , Björn Rohles , Yuwei Chuai , Gabriele Lenzini , Anastasia Sergeeva

Several major social media platforms have shifted toward crowdsourced fact-checking systems like Community Notes to combat misinformation at scale. However, these systems face criticism regarding which content is scrutinized and how visible…

计算机与社会 · 计算机科学 2026-04-21 Yilin Gong , Siqi Wu

Social media and user-generated content (UGC) have become increasingly important features of journalistic work in a number of different ways. However, the growth of misinformation means that news organisations have had devote more and more…

人机交互 · 计算机科学 2023-07-07 Rob Procter , Miguel Arana-Catania , Yulan He , Maria Liakata , Arkaitz Zubiaga , Elena Kochkina , Runcong Zhao

Recent advances in artificial intelligence (AI) have made timely, scalable, and effective fact-checking increasingly feasible. One such deployment is X's Community Notes, which provides the AI Note Writer API to enable end-to-end automated…

计算机与社会 · 计算机科学 2026-05-19 Yilin Gong , Siqi Wu

Corrections given by ordinary social media users, also referred to as Social Correction have emerged as a viable intervention against misinformation as per the recent literature. However, little is known about how often users give disputing…

社会与信息网络 · 计算机科学 2025-05-06 Sameera S. Vithanage , Keith Ransom , Antonette Mendoza , Shanika Karunasekera

Fears about the destabilizing impact of misinformation online have motivated individuals and platforms to respond. Individuals have increasingly challenged others' online claims with fact-checks in pursuit of a healthier information…

计算机与社会 · 计算机科学 2025-01-27 Junsol Kim , Zhao Wang , Haohan Shi , Hsin-Keng Ling , James Evans

Facebook and Twitter recently announced community-based review platforms to address misinformation. We provide an overview of the potential affordances of such community-based approaches to content moderation based on past research and…

社会与信息网络 · 计算机科学 2023-01-05 Taha Yasseri , Filippo Menczer

This study presents the first large-scale comparison of persuasion techniques present in crowd- versus professionally-written debunks. Using extensive datasets from Community Notes (CNs), EUvsDisinfo, and the Database of Known Fakes (DBKF),…

计算与语言 · 计算机科学 2026-02-11 Olesya Razuvayevskaya , Kalina Bontcheva

Large language models show promising capabilities for contextual fact-checking on social media: they can verify contested claims through deep research, synthesize evidence from multiple sources, and draft explanations at scale. However,…

计算机与社会 · 计算机科学 2026-04-15 Haiwen Li , Michiel A. Bakker

Community Notes, the crowd-sourced misinformation governance system on X (formerly Twitter), allows users to flag misleading posts, attach contextual notes, and rate the notes' helpfulness. However, our empirical analysis of 30.8K…

社会与信息网络 · 计算机科学 2026-04-23 Jiaying Wu , Zihang Fu , Haonan Wang , Fanxiao Li , Jiafeng Guo , Preslav Nakov , Min-Yen Kan

Volume of content and misinformation on social media is rapidly increasing. There is a need for systems that can support fact checkers by prioritizing content that needs to be fact checked. Prior research on prioritizing content for…

社会与信息网络 · 计算机科学 2021-07-13 Tarunima Prabhakar , Anushree Gupta , Kruttika Nadig , Denny George

Fact-checking is one of the effective solutions in fighting online misinformation. However, traditional fact-checking is a process requiring scarce expert human resources, and thus does not scale well on social media because of the…

信息检索 · 计算机科学 2022-08-22 Mohammed Saeed , Nicolas Traub , Maelle Nicolas , Gianluca Demartini , Paolo Papotti

Responding to misinformation online can be an exhausting and thankless task. It takes time and energy to write effective content, puts users at risk of online harassment, and strains personal relationships. Despite these challenges, there…

人机交互 · 计算机科学 2024-12-02 Jina Yoon , Shreya Sathyanarayanan , Franziska Roesner , Amy X. Zhang

Much of the research quantifying volume and spread of online misinformation measures the construct at the source level, identifying a set of specific unreliable domains that account for a relatively small share of news consumption. This…

社会与信息网络 · 计算机科学 2025-06-11 Pranav Goel , Jon Green , David Lazer , Philip Resnik

Political misinformation, particularly harmful when it aligns with individuals' preexisting beliefs and political ideologies, has become widespread on social media platforms. In response, platforms like Facebook and X introduced warning…

人机交互 · 计算机科学 2025-05-15 Sian Lee , Haeseung Seo , Aiping Xiong , Dongwon Lee

The rise of social media has enabled the widespread propagation of fake news, text that is published with an intent to spread misinformation and sway beliefs. Rapidly detecting fake news, especially as new events arise, is important to…

计算与语言 · 计算机科学 2023-09-27 Nikhil Mehta , Dan Goldwasser

Online misinformation has been a serious threat to public health and society. Social media users are known to reply to misinformation posts with counter-misinformation messages, which have been shown to be effective in curbing the spread of…

社会与信息网络 · 计算机科学 2023-03-17 Yingchen Ma , Bing He , Nathan Subrahmanian , Srijan Kumar