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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,…

Computers and Society · Computer Science 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…

Social and Information Networks · Computer Science 2026-04-23 Jiaying Wu , Zihang Fu , Haonan Wang , Fanxiao Li , Jiafeng Guo , Preslav Nakov , Min-Yen Kan

Fact-checking on major platforms, such as X, Meta, and TikTok, is shifting from expert-driven verification to a community-based setup, where users contribute explanatory notes to clarify why a post might be misleading. An important…

Computation and Language · Computer Science 2026-01-29 Rui Xing , Preslav Nakov , Timothy Baldwin , Jey Han Lau

Crowd-sourced fact-checking provides social media platforms with a promising method of managing misinformation at scale. However, the success of fact-checking programs like X's Community Notes requires the participation of a critical mass…

Social and Information Networks · Computer Science 2025-12-24 Elizabeth Stewart , Suryash Greenwold , Timotius Marselo

Community Notes have emerged as an effective crowd-sourced mechanism for combating online deception on social media platforms. However, its reliance on human contributors limits both the timeliness and scalability. In this work, we study…

Computation and Language · Computer Science 2026-05-20 Jin Ma , Jingwen Yan , Mohammed Aldeen , Ethan Anderson , Taran Kavuru , Jinkyung Katie Park , Feng Luo , Long Cheng

In recent years, the proliferation of misinformation on social media platforms has become a significant concern. Initially designed for sharing information and fostering social connections, platforms like Twitter (now rebranded as X) have…

Computers and Society · Computer Science 2026-01-28 Uku Kangur , Roshni Chakraborty , Rajesh Sharma

As platforms increasingly scale down professional fact-checking, community-based alternatives are promoted as more transparent and democratic. The main substitute being proposed is community-based contextualization, most notably Community…

Social and Information Networks · Computer Science 2026-02-26 Jacopo Nudo , Eugenio Nerio Nemmi , Edoardo Loru , Alessandro Mei , Walter Quattrociocchi , Matteo Cinelli

Today, social media platforms are significant sources of news and political communication, but their role in spreading misinformation has raised significant concerns. In response, these platforms have implemented various content moderation…

Computers and Society · Computer Science 2026-04-21 Saeedeh Mohammadi , Taha Yasseri

Social media platforms face increasing scrutiny over the rapid spread of misinformation. In response, many have adopted community-based content moderation systems, including Community Notes (formerly Birdwatch) on X (formerly Twitter),…

Social and Information Networks · Computer Science 2026-02-02 Gabriela Juncosa , Saeedeh Mohammadi , Margaret Samahita , Taha Yasseri

Crowdsourced moderation systems like Twitter/X's Community Notes program have been proposed as scalable alternatives to professional fact-checkers for combating online misinformation. While prior research has examined the effectiveness of…

Human-Computer Interaction · Computer Science 2026-03-13 Morgan Wack , Patrick Warren , Mustafa Alam

Community-based fact-checking is promising to reduce the spread of misleading posts at scale. However, its effectiveness can be undermined by the delays in fact-check delivery. Notably, user-initiated organic comments often contain…

Human-Computer Interaction · Computer Science 2025-09-16 Shuning Zhang , Linzhi Wang , Dai Shi , Yuwei Chuai , Jingruo Chen , Yunyi Chen , Yifan Wang , Yating Wang , Xin Yi , Hewu Li

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…

Social and Information Networks · Computer Science 2026-03-03 Yuwei Chuai , Shuning Zhang , Ziming Wang , Xin Yi , Mohsen Mosleh , Gabriele Lenzini

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…

Computers and Society · Computer Science 2026-05-19 Yilin Gong , Siqi Wu

Community-based fact-checking systems, such as Community Notes on X (formerly Twitter), aim to mitigate online misinformation by surfacing annotations judged helpful by contributors with diverse viewpoints. While prior work has shown that…

Social and Information Networks · Computer Science 2026-01-21 Yuwei Chuai , Gabriele Lenzini , Nicolas Pröllochs

Developing interventions that successfully reduce engagement with misinformation on social media is challenging. One intervention that has recently gained great attention is X/Twitter's Community Notes (previously known as "Birdwatch").…

Social and Information Networks · Computer Science 2024-08-26 Yuwei Chuai , Haoye Tian , Nicolas Pröllochs , Gabriele Lenzini

Deploying links to fact-checking websites (so-called "snoping") is a common intervention that can be used by social media users to refute misleading claims. However, its real-world effect may be limited as it suffers from low visibility and…

Social and Information Networks · Computer Science 2023-09-19 Moritz Pilarski , Kirill Solovev , Nicolas Pröllochs

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 reducing the spread of misinformation on social media is…

Social and Information Networks · Computer Science 2024-09-16 Yuwei Chuai , Moritz Pilarski , Thomas Renault , David Restrepo-Amariles , Aurore Troussel-Clément , Gabriele Lenzini , Nicolas Pröllochs

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…

Computers and Society · Computer Science 2026-04-21 Yilin Gong , Siqi Wu

Community-based fact-checking is a promising approach to address misinformation on social media at scale. However, an understanding of what makes community-created fact-checks helpful to users is still in its infancy. In this paper, we…

Social and Information Networks · Computer Science 2025-03-14 Kirill Solovev , Nicolas Pröllochs

This paper argues for a new paradigm for Community Notes in the LLM era: an open ecosystem where both humans and LLMs can write notes, and the decision of which notes are helpful enough to show remains in the hands of humans. This approach…

Computers and Society · Computer Science 2025-10-02 Haiwen Li , Soham De , Manon Revel , Andreas Haupt , Brad Miller , Keith Coleman , Jay Baxter , Martin Saveski , Michiel A. Bakker
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