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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

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…

社会与信息网络 · 计算机科学 2026-02-06 Moritz Pilarski , 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…

社会与信息网络 · 计算机科学 2026-01-21 Yuwei Chuai , Gabriele Lenzini , Nicolas Pröllochs

Social networks scaffold the diffusion of information on social media. Much attention has been given to the spread of true vs. false content on online social platforms, including the structural differences between their diffusion patterns.…

社会与信息网络 · 计算机科学 2026-03-24 Isaac Slaughter , Axel Peytavin , Johan Ugander , Martin Saveski

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").…

社会与信息网络 · 计算机科学 2024-08-26 Yuwei Chuai , Haoye Tian , Nicolas Pröllochs , Gabriele Lenzini

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…

社会与信息网络 · 计算机科学 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…

计算机与社会 · 计算机科学 2026-01-28 Uku Kangur , Roshni Chakraborty , Rajesh Sharma

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…

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

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…

人机交互 · 计算机科学 2026-03-13 Morgan Wack , Patrick Warren , Mustafa Alam

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…

社会与信息网络 · 计算机科学 2026-02-26 Jacopo Nudo , Eugenio Nerio Nemmi , Edoardo Loru , Alessandro Mei , Walter Quattrociocchi , Matteo Cinelli

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,…

计算与语言 · 计算机科学 2025-05-28 Nadav Borenstein , Greta Warren , Desmond Elliott , Isabelle Augenstein

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

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),…

社会与信息网络 · 计算机科学 2026-02-02 Gabriela Juncosa , Saeedeh Mohammadi , Margaret Samahita , Taha Yasseri

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…

社会与信息网络 · 计算机科学 2025-03-14 Kirill Solovev , Nicolas Pröllochs

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…

社会与信息网络 · 计算机科学 2025-11-05 Bao Tran Truong , Siqi Wu , Alessandro Flammini , Filippo Menczer , Alexander J. Stewart

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…

计算与语言 · 计算机科学 2026-01-29 Rui Xing , Preslav Nakov , Timothy Baldwin , Jey Han Lau

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…

社会与信息网络 · 计算机科学 2023-09-19 Moritz Pilarski , Kirill Solovev , Nicolas Pröllochs

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…

计算机与社会 · 计算机科学 2026-04-21 Saeedeh Mohammadi , Taha Yasseri

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
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