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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…

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…

社会与信息网络 · 计算机科学 2025-05-16 Michelle Bobek , Nicolas Pröllochs

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

The spread of misinformation through online social media platforms has had substantial societal consequences. As a result, platforms have introduced measures to alert users of news content that may be misleading or contain inaccuracies as a…

人机交互 · 计算机科学 2024-10-02 Hana Habib , Sara Elsharawy , Rifat Rahman

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…

社会与信息网络 · 计算机科学 2023-03-28 Chiara Drolsbach , 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

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

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

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

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

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

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

Unlike traditional media, social media typically provides quantified metrics of how many users have engaged with each piece of content. Some have argued that the presence of these cues promotes the spread of misinformation. Here we…

社会与信息网络 · 计算机科学 2022-07-18 Ziv Epstein , Hause Lin , Gordon Pennycook , David Rand

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)…

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 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

The proliferation of misinformation on social media platforms (SMPs) poses a significant danger to public health, social cohesion and ultimately democracy. Previous research has shown how social correction can be an effective way to curb…

计算与语言 · 计算机科学 2023-11-20 Daniel Russo , Shane Peter Kaszefski-Yaschuk , Jacopo Staiano , Marco Guerini

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

With the advent of social media, an increasing number of netizens are sharing and reading posts and news online. However, the huge volumes of misinformation (e.g., fake news and rumors) that flood the internet can adversely affect people's…

计算与语言 · 计算机科学 2024-02-15 Zhiwei Liu , Tianlin Zhang , Kailai Yang , Paul Thompson , Zeping Yu , Sophia Ananiadou

When users on social media share content without considering its veracity, they may unwittingly be spreading misinformation. In this work, we investigate the design of lightweight interventions that nudge users to assess the accuracy of…

人机交互 · 计算机科学 2021-05-25 Farnaz Jahanbakhsh , Amy X. Zhang , Adam J. Berinsky , Gordon Pennycook , David G. Rand , David R. Karger
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