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Social networks offer a ready channel for fake and misleading news to spread and exert influence. This paper examines the performance of different reputation algorithms when applied to a large and statistically significant portion of the…

Social and Information Networks · Computer Science 2019-02-20 Rakshit Agrawal , Luca de Alfaro , Gabriele Ballarin , Stefano Moret , Massimo Di Pierro , Eugenio Tacchini , Marco L. Della Vedova

Research on misinformation has focused almost exclusively on supply, asking what falsehoods circulate, who produces them, and whether corrections work. A basic demand-side question remains unanswered. When ordinary people can fact-check…

Human-Computer Interaction · Computer Science 2026-02-12 Bijean Ghafouri , Dorsaf Sallami , Luca Luceri , Taylor Lynn Curtis , Jean-Francois Godbout , Emilio Ferrara , Reihaneh Rabbany

Social media's unfettered access has made it an important venue for health discussion and a resource for patients and their loved ones. However, the quality of the information available, as well as the motivations of its posters, has been…

Computers and Society · Computer Science 2018-09-10 Amira Ghenai , Yelena Mejova

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

In recent years, scholars have raised concerns on the effects that unreliable news, or "fake news," has on our political sphere, and our democracy as a whole. For example, the propagation of fake news on social media is widely believed to…

Social and Information Networks · Computer Science 2023-09-28 Banafsheh Behzad , Bhavana Bheem , Daniela Elizondo , Deyana Marsh , Susan Martonosi

Detecting misinformation threads is crucial to guarantee a healthy environment on social media. We address the problem using the data set created during the COVID-19 pandemic. It contains cascades of tweets discussing information weakly…

Computation and Language · Computer Science 2023-04-07 Tommaso Fornaciari , Luca Luceri , Emilio Ferrara , Dirk Hovy

We propose that social-media users' own post histories are an underused yet valuable resource for studying fake-news sharing. By extracting textual cues from their prior posts, and contrasting their prevalence against random social-media…

Computers and Society · Computer Science 2024-07-23 Verena Schoenmueller , Simon J. Blanchard , Gita V. Johar

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

The online spreading of fake news is a major issue threatening entire societies. Much of this spreading is enabled by new media formats, namely social networks and online media sites. Researchers and practitioners have been trying to answer…

Human-Computer Interaction · Computer Science 2022-04-28 Jakub Simko , Patrik Racsko , Matus Tomlein , Martin Hanakova , Robert Moro , Maria Bielikova

Social media feeds have become central to the Internet. Among the most visible are trending feeds, which rank content deemed timely and relevant. To examine how feed signals influence behaviors and perceptions, we conducted a randomized…

Human-Computer Interaction · Computer Science 2025-09-24 Jackie Chan , Fred Choi , Koustuv Saha , Eshwar Chandrasekharan

Today, social media provide the means by which billions of people experience news and events happening around the world. However, the absence of traditional journalistic gatekeeping allows information to flow unencumbered through these…

Social and Information Networks · Computer Science 2017-01-02 Tanushree Mitra , Graham Wright , Eric Gilbert

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…

Computers and Society · Computer Science 2025-01-27 Junsol Kim , Zhao Wang , Haohan Shi , Hsin-Keng Ling , James Evans

Recent studies have confirmed a growing trend, especially among youngsters, of using Online Social Media as favourite information platform at the expense of traditional mass media. Indeed, they can easily reach a wide audience at a high…

Social and Information Networks · Computer Science 2020-05-08 Alessandro Balestrucci , Rocco De Nicola

Recent studies, targeting Facebook, showed the tendency of users to interact with information adhering to their preferred narrative and to ignore dissenting information. Primarily driven by confirmation bias, users tend to join polarized…

Social and Information Networks · Computer Science 2020-08-24 Emanuele Brugnoli , Matteo Cinelli , Fabiana Zollo , Walter Quattrociocchi , Antonio Scala

Follow back accounts inflate their follower counts by engaging in reciprocal followings. Such accounts manipulate the public and the algorithms by appearing more popular than they really are. Despite their potential harm, no studies have…

Social and Information Networks · Computer Science 2024-03-26 Tuğrulcan Elmas , Mathis Randl , Youssef Attia

Fake news detection algorithms apply machine learning to various news attributes and their relationships. However, their success is usually evaluated based on how the algorithm performs on a static benchmark, independent of real users. On…

Human-Computer Interaction · Computer Science 2023-04-18 Bruno Tafur , Advait Sarkar

Analyzing following behavior is important in many applications. Following behavior may depend on the main intention of the follower. Users may either follow their friends or they may follow celebrities to know more about them. It is…

Social and Information Networks · Computer Science 2024-11-08 Hayato Oshimo , Shiori Hironaka , Mitsuo Yoshida , Kyoji Umemura

Online attention is an increasingly valuable resource in the digital age, with extraordinary events such as the COVID-19 pandemic fuelling fierce competition around it. As misinformation pervades online platforms, users seek credible…

Social and Information Networks · Computer Science 2026-04-07 Yueting Han , Paolo Turrini , Marya Bazzi , Giulia Andrighetto , Eugenia Polizzi , Manlio De Domenico

Users rely on search engines for information in critical contexts, such as public health emergencies. Understanding how users evaluate the trustworthiness of search results is therefore essential. Research has identified rank and the…

Human-Computer Interaction · Computer Science 2023-09-21 Sterling Williams-Ceci , Michael Macy , Mor Naaman

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
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