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Misinformation has become a widespread issue in the 21st century, impacting numerous areas of society and underscoring the need for effective intervention strategies. Among these strategies, user-centered interventions, such as warning…

Human-Computer Interaction · Computer Science 2025-05-15 Hussaini Zubairu , Abdelrahaman Abdou , Ashraf Matrawy

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

Many years after online social networks exceeded our collective attention, social influence is still built on attention capital. Quality is not a prerequisite for viral spreading, yet large diffusion cascades remain the hallmark of a social…

Social and Information Networks · Computer Science 2020-06-02 Damian Konrad Kowalczyk , Lars Kai Hansen

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

Understanding true influence in social media requires distinguishing correlation from causation--particularly when analyzing misinformation spread. While existing approaches focus on exposure metrics and network structures, they often fail…

Computation and Language · Computer Science 2025-05-27 Lin Tian , Marian-Andrei Rizoiu

This paper provides a simple theoretical framework to evaluate the effect of key parameters of ranking algorithms, namely popularity and personalization parameters, on measures of platform engagement, misinformation and polarization. The…

Social and Information Networks · Computer Science 2022-10-06 Fabrizio Germano , Vicenç Gómez , Francesco Sobbrio

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

The prevalence of new technologies and social media has amplified the effects of misinformation on our societies. Thus, it is necessary to create computational tools to mitigate their effects effectively. This study aims to provide a…

Human-Computer Interaction · Computer Science 2019-03-19 Alireza Karduni

The spread of misinformation is a pressing global problem that has elicited a range of responses from researchers, policymakers, civil society and industry. Over the past decade, these stakeholders have developed many interventions to…

Computers and Society · Computer Science 2022-12-23 Pica Johansson , Florence Enock , Scott Hale , Bertie Vidgen , Cassidy Bereskin , Helen Margetts , Jonathan Bright

The behaviour of sharing information on social media should be fulfilled only when a user is exhibiting attentive behaviour. So that the useful information can be consumed constructively, and misinformation can be identified and ignored.…

Social and Information Networks · Computer Science 2020-12-29 Zaid Amin , Nazlena Mohamad Ali , Alan F. Smeaton

Online manipulation of information has become more prevalent in recent years as state-sponsored disinformation campaigns seek to influence and polarize political topics through massive coordinated efforts. In the process, these efforts…

Social and Information Networks · Computer Science 2020-09-08 Luis Vargas , Patrick Emami , Patrick Traynor

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

High dialogue engagement is a crucial indicator of an effective conversation. A reliable measure of engagement could help benchmark large language models, enhance the effectiveness of human-computer interactions, or improve personal…

Computation and Language · Computer Science 2026-03-17 Yongkang Guo , Zhihuan Huang , Yuqing Kong

Modern social networks rely on recommender systems that inadvertently amplify misinformation by prioritizing engagement over content veracity. We present a control framework that mitigates misinformation spread while maintaining user…

Social and Information Networks · Computer Science 2025-11-18 Nicolo' Pagan , Andreas Philippou , Giulia De Pasquale

Social media engagement prediction is a central challenge in computational social science, particularly for understanding how users interact with misinformation. Existing approaches often treat engagement as a homogeneous time-series…

Social and Information Networks · Computer Science 2026-02-03 Lin Tian , Marian-Andrei Rizoiu

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

User experience research often uses surveys and interviews, which may miss subconscious user interactions. This study explores eye-tracking and biometric feedback as tools to assess user engagement and cognitive load in digital interfaces.…

Human-Computer Interaction · Computer Science 2025-05-29 Aaditya Shankar Majumder

Researchers in many disciplines have previously used a variety of mathematical techniques for analyzing group interactions. Here we use a new metric for this purpose, called 'integrated information' or 'phi.' Phi was originally developed by…

Social and Information Networks · Computer Science 2018-11-21 David Engel , Thomas W. Malone

Modern computational systems have an unprecedented ability to detect, leverage and influence human attention. Prior work identified user engagement and dwell time as two key metrics of attention in digital environments, but these metrics…

Human-Computer Interaction · Computer Science 2022-11-09 Ziv Epstein , Hause Lin , Gordon Pennycook , David Rand

The proliferation of misinformation on social media has concerning possible consequences, such as the degradation of democratic norms. While recent research on countering misinformation has largely focused on analyzing the effectiveness of…

Computers and Society · Computer Science 2025-09-01 Catherine King , Samantha C. Phillips , Kathleen M. Carley
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