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Understanding susceptibility to online influence is crucial for mitigating the spread of misinformation and protecting vulnerable audiences. This paper investigates susceptibility to influence within social networks, focusing on the…

Social and Information Networks · Computer Science 2025-05-15 Luca Luceri , Jinyi Ye , Julie Jiang , Emilio Ferrara

Misinformation on social media presents a major threat to modern societies. While previous research has analyzed the virality across true and false social media posts, not every misleading post is necessarily equally viral. Rather,…

Social and Information Networks · Computer Science 2023-03-09 Chiara Drolsbach , Nicolas Pröllochs

News feeds in virtually all social media platforms include engagement metrics, such as the number of times each post is liked and shared. We find that exposure to these social engagement signals increases the vulnerability of users to…

Computers and Society · Computer Science 2020-07-31 Mihai Avram , Nicholas Micallef , Sameer Patil , Filippo Menczer

The Internet and social media have transformed news availability and accessibility, reshaping information consumption and production. However, they can also facilitate the rapid spread of misinformation, posing significant societal…

Social and Information Networks · Computer Science 2023-11-13 Anees Baqir , Alessandro Galeazzi , Fabiana Zollo

As people rely on social media as their primary sources of news, the spread of misinformation has become a significant concern. In this large-scale study of news in social media we analyze eleven million posts and investigate propagation…

Social and Information Networks · Computer Science 2018-12-11 Maria Glenski , Tim Weninger , Svitlana Volkova

Previous work suggests that people's preference for different kinds of information depends on more than just accuracy. This could happen because the messages contained within different pieces of information may either be well-liked or…

Computers and Society · Computer Science 2022-07-01 Alexandros Efstratiou , Emiliano De Cristofaro

With social media, the flow of uncertified information is constantly increasing, with the risk that more people will trust low-credible information sources. To design effective strategies against this phenomenon, it is of paramount…

Physics and Society · Physics 2023-07-10 Enrico Maria Fenoaltea , Alejandro Lage-Castellanos

Misinformation poses a significant challenge studied extensively by researchers, yet acquiring data to identify primary sharers is time-consuming and challenging. To address this, we propose a low-barrier approach to differentiate social…

Social and Information Networks · Computer Science 2025-11-25 Júlia Számely , Alessandro Galeazzi , Júlia Koltai , Elisa Omodei

Social media platforms have been exploited to disseminate misinformation in recent years. The widespread online misinformation has been shown to affect users' beliefs and is connected to social impact such as polarization. In this work, we…

Computers and Society · Computer Science 2021-11-02 Yichen Wang , Richard Han , Tamara Lehman , Qin Lv , Shivakant Mishra

Given the prevalence of online misinformation and our scarce cognitive capacity, Internet users have been shown to frequently fall victim to such information. As some studies have investigated psychological factors that make people…

Human-Computer Interaction · Computer Science 2022-10-24 Nattapat Boonprakong , Benjamin Tag , Tilman Dingler

The world's digital information ecosystem continues to struggle with the spread of misinformation. Prior work has suggested that users who consistently disseminate a disproportionate amount of low-credibility content -- so-called…

Social and Information Networks · Computer Science 2024-02-01 Matthew R. DeVerna , Rachith Aiyappa , Diogo Pacheco , John Bryden , Filippo Menczer

Social media are pervaded by unsubstantiated or untruthful rumors, that contribute to the alarming phenomenon of misinformation. The widespread presence of a heterogeneous mass of information sources may affect the mechanisms behind the…

Social and Information Networks · Computer Science 2017-07-11 Fabiana Zollo , Walter Quattrociocchi

Susceptibility to misinformation describes the degree of belief in unverifiable claims, a latent aspect of individuals' mental processes that is not observable. Existing susceptibility studies heavily rely on self-reported beliefs, which…

Computation and Language · Computer Science 2024-10-15 Yanchen Liu , Mingyu Derek Ma , Wenna Qin , Azure Zhou , Jiaao Chen , Weiyan Shi , Wei Wang , Diyi Yang

Though significant efforts such as removing false claims and promoting reliable sources have been increased to combat COVID-19 "misinfodemic", it remains an unsolved societal challenge if lacking a proper understanding of susceptible online…

Social and Information Networks · Computer Science 2021-09-21 Xian Teng , Yu-Ru Lin , Wen-Ting Chung , Ang Li , Adriana Kovashka

Warning users about misinformation on social media is not a simple usability task. Soft moderation has to balance between debunking falsehoods and avoiding moderation bias while preserving the social media consumption flow. Platforms thus…

Computers and Society · Computer Science 2022-05-04 Filipo Sharevski , Amy Devine , Emma Pieroni , Peter Jacnim

Much of the research quantifying volume and spread of online misinformation measures the construct at the source level, identifying a set of specific unreliable domains that account for a relatively small share of news consumption. This…

Social and Information Networks · Computer Science 2025-06-11 Pranav Goel , Jon Green , David Lazer , Philip Resnik

Misinformation poses a growing global threat to institutional trust, democratic stability, and public decision-making. While prior research has often portrayed social media as a channel for spreading falsehoods, less is known about the…

General Economics · Economics 2025-06-23 Gavin Wang , Haofei Qin , Xiao Tang , Lynn Wu

In the Social Web scenario, large amounts of User-Generated Content (UGC) are diffused through social media often without almost any form of traditional trusted intermediaries. Therefore, the risk of running into misinformation is not…

Computers and Society · Computer Science 2020-01-28 Gabriella Pasi , Marco Viviani

One of the most pressing challenges in the digital media landscape is understanding the impact of biases on the news sources that people rely on for information. Biased news can have significant and far-reaching consequences, influencing…

Computers and Society · Computer Science 2023-01-18 Alessandro Galeazzi , Antonio Peruzzi , Emanuele Brugnoli , Marco Delmastro , Fabiana Zollo

Research in combating misinformation reports many negative results: facts may not change minds, especially if they come from sources that are not trusted. Individuals can disregard and justify lies told by trusted sources. This problem is…

Computers and Society · Computer Science 2019-11-15 Benjamin D. Horne , Maurício Gruppi , Sibel Adalı
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