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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

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…

Social and Information Networks · Computer Science 2022-07-18 Ziv Epstein , Hause Lin , Gordon Pennycook , David Rand

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

The social brain hypothesis fixes to 150 the number of social relationships we are able to maintain. Similar cognitive constraints emerge in several aspects of our daily life, from our mobility up to the way we communicate, and might even…

Social and Information Networks · Computer Science 2020-10-06 Matteo Cinelli , Emanuele Brugnoli , Ana Lucia Schmidt , Fabiana Zollo , Walter Quattrociocchi , Antonio Scala

This paper presents the research of the influence of cognitive, behavioral, representational factors on the susceptibility of the participants in social networks to misinformation, as well as on the activity of the nodes in this regard. The…

Social and Information Networks · Computer Science 2012-12-04 Yuri Monakhov , Maria Medvednikova , Konstantin Abramov , Natalia Kostina , Roman Malyshev , Makarov Oleg , Irina Semenova

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

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 manipulation poses a significant threat to cognitive autonomy and unbiased opinion formation. Prior literature explored the relationship between online activity and emotional state, cognitive resources, sunlight and weather.…

Social and Information Networks · Computer Science 2023-12-21 Elisabeth Stockinger , Riccardo Gallotti , Carina I. Hausladen

Misinformation proliferation on social media platforms is a pervasive threat to the integrity of online public discourse. Genuine users, susceptible to others' influence, often unknowingly engage with, endorse, and re-share questionable…

Social and Information Networks · Computer Science 2025-01-30 Jinyi Ye , Luca Luceri , Julie Jiang , Emilio Ferrara

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

How far and how fast does information spread in social media? Researchers have recently examined a number of factors that affect information diffusion in online social networks, including: the novelty of information, users' activity levels,…

Physics and Society · Physics 2016-11-15 Nathan Oken Hodas , Kristina Lerman

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…

Human-Computer Interaction · Computer Science 2021-05-25 Farnaz Jahanbakhsh , Amy X. Zhang , Adam J. Berinsky , Gordon Pennycook , David G. Rand , David R. Karger

Social media can be viewed as a social system where the currency is attention. People post content and interact with others to attract attention and gain new followers. In this paper, we examine the distribution of attention across a large…

Social and Information Networks · Computer Science 2016-01-28 Linhong Zhu , Kristina Lerman

Widely distributed misinformation shared across social media channels is a pressing issue that poses a significant threat to many aspects of society's well-being. Inaccurate shared information causes confusion, can adversely affect mental…

Social and Information Networks · Computer Science 2024-09-27 Juanita Zainudin , Nazlena Mohamad Ali , Alan F. Smeaton , Mohamad Taha Ijab

Recent years have witnessed remarkable progress towards computational fake news detection. To mitigate its negative impact, we argue that it is critical to understand what user attributes potentially cause users to share fake news. The key…

Computers and Society · Computer Science 2021-07-16 Lu Cheng , Ruocheng Guo , Kai Shu , Huan Liu

Misinformation spread through social media has become a fundamental challenge in modern society. Recent studies have evaluated various strategies for addressing this problem, such as by modifying social media platforms or educating people…

Human-Computer Interaction · Computer Science 2022-05-03 Jacqueline Urakami , Yeongdae Kim , Hiroki Oura , Katie Seaborn

In this work we study, on a sample of 2.3 million individuals, how Facebook users consumed different information at the edge of political discussion and news during the last Italian electoral competition. Pages are categorized, according to…

Social and Information Networks · Computer Science 2014-03-14 Delia Mocanu , Luca Rossi , Qian Zhang , Màrton Karsai , Walter Quattrociocchi

Information sharing on social networks is ubiquitous, intuitive, and occasionally accidental. However, people may be unaware of the potential negative consequences of disclosures, such as reputational damages. Yet, people use social…

Human-Computer Interaction · Computer Science 2022-07-07 Yefim Shulman , Agnieszka Kitkowska , Joachim Meyer

A great deal of empirical research has examined who falls for misinformation and why. Here, we introduce a formal game-theoretic model of engagement with news stories that captures the strategic interplay between (mis)information consumers…

Theoretical Economics · Economics 2023-09-26 Alexander J. Stewart , Antonio A. Arechar , David G. Rand , Joshua B. Plotkin

Information sharing on social media must be accompanied by attentive behavior so that in a distorted digital environment, users are not rushed and distracted in deciding to share information. The spread of misinformation, especially those…

Human-Computer Interaction · Computer Science 2024-05-01 Zaid Amin , Nazlena Mohamad Ali , Alan F. Smeaton
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