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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

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

Two commonly employed strategies to combat the rise of misinformation on social media are (i) fact-checking by professional organisations and (ii) community moderation by platform users. Policy changes by Twitter/X and, more recently, Meta,…

Computation and Language · Computer Science 2025-05-28 Nadav Borenstein , Greta Warren , Desmond Elliott , Isabelle Augenstein

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

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

Fact-checking ecosystems on social media depend on the interplay between what users want checked and what contributors are willing to supply. Prior research has largely examined these forces in isolation, yet it remains unclear to what…

Social and Information Networks · Computer Science 2026-02-06 Moritz Pilarski , Nicolas Pröllochs

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

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

Displaying community fact-checks is a promising approach to reduce engagement with misinformation on social media. However, how users respond to misleading content emotionally after community fact-checks are displayed on posts is unclear.…

Social and Information Networks · Computer Science 2025-01-28 Yuwei Chuai , Anastasia Sergeeva , 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 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

Major social media platforms increasingly adopt community-based fact-checking to address misinformation on their platforms. While previous research has largely focused on its effect on engagement (e.g., reposts, likes), an understanding of…

Social and Information Networks · Computer Science 2025-05-16 Michelle Bobek , Nicolas Pröllochs

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…

Social and Information Networks · Computer Science 2024-11-12 Soham De , Michiel A. Bakker , Jay Baxter , Martin Saveski

Social media platforms have traditionally relied on internal moderation teams and partnerships with independent fact-checking organizations to identify and flag misleading content. Recently, however, platforms including X (formerly Twitter)…

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

Social media platforms increasingly rely on crowdsourced moderation systems like Community Notes to combat misinformation at scale. However, these systems face challenges from rater bias and potential manipulation, which may undermine their…

Social and Information Networks · Computer Science 2025-11-05 Bao Tran Truong , Siqi Wu , Alessandro Flammini , Filippo Menczer , Alexander J. Stewart

The effect of user bias in fact-checking has not been explored extensively from a user-experience perspective. We estimate the user bias as a function of the user's perceived reputation of the news sources (e.g., a user with liberal beliefs…

Information Retrieval · Computer Science 2019-07-09 Anubrata Das , Kunjan Mehta , Matthew Lease

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

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

Misinformation undermines the credibility of social media and poses significant threats to modern societies. As a countermeasure, Twitter has recently introduced "Birdwatch," a community-driven approach to address misinformation on Twitter.…

Social and Information Networks · Computer Science 2021-12-15 Nicolas Pröllochs

The spread of misinformation on social media is a pressing societal problem that platforms, policymakers, and researchers continue to grapple with. As a countermeasure, recent works have proposed to employ non-expert fact-checkers in the…

Social and Information Networks · Computer Science 2023-03-28 Chiara Drolsbach , Nicolas Pröllochs
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