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The problem of how to effectively mitigate the flow of misinformation remains a significant challenge. The classical approach to this is public disapproval of claims or "debunking." The approach is still widely used on social media, but it…

Human-Computer Interaction · Computer Science 2025-05-13 Huiyun Tang , Anastasia Sergeeva

Influential node detection is a central research topic in social network analysis. Many existing methods rely on the assumption that the network structure is completely known \textit{a priori}. However, in many applications, network…

Social and Information Networks · Computer Science 2016-12-01 Qunwei Li , Bhavya Kailkhura , Jayaraman J. Thiagarajan , Zhenliang Zhang , Pramod K. Varshney

As a countermeasure against misinformation that undermines the healthy use of social media, a preventive intervention known as \textit{prebunking} has recently attracted attention in the field of psychology. Prebunking aims to strengthen…

Social and Information Networks · Computer Science 2025-10-23 Satoshi Furutani , Toshiki Shibahara , Mitsuaki Akiyama , Masaki Aida

The advent of social media changed the way we consume content favoring a disintermediated access and production. This scenario has been matter of critical discussion about its impact on society. Magnified in the case of Arab Spring or…

Social and Information Networks · Computer Science 2020-06-29 Matteo Cinelli , Stefano Cresci , Alessandro Galeazzi , Walter Quattrociocchi , Maurizio Tesconi

In this paper, we present a resource allocation mechanism for the problem of incentivizing filtering among a finite number of strategic social media platforms. We consider the presence of a strategic government and private knowledge of how…

Computer Science and Game Theory · Computer Science 2022-05-24 Aditya Dave , Ioannis Vasileios Chremos , Andreas A. Malikopoulos

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

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

Misinformation under the form of rumor, hoaxes, and conspiracy theories spreads on social media at alarming rates. One hypothesis is that, since social media are shaped by homophily, belief in misinformation may be more likely to thrive on…

Social and Information Networks · Computer Science 2018-09-26 Marcella Tambuscio , Diego F. M. Oliveira , Giovanni Luca Ciampaglia , Giancarlo Ruffo

Social network platforms (SNP) rely heavily on user-generated content to attract users, yet they have limited control over content provision, which leads to misinformation. As countermeasures, SNPs have implemented policies to notify users…

Computer Science and Game Theory · Computer Science 2025-03-11 Ya-Ting Yang , Tao Li , Quanyan Zhu

In many information networks, data items -- such as updates in social networks, news flowing through interconnected RSS feeds and blogs, measurements in sensor networks, route updates in ad-hoc networks -- propagate in an uncoordinated…

Databases · Computer Science 2012-02-01 Dóra Erdös , Vatche Ishakian , Andrei Lapets , Evimaria Terzi , Azer Bestavros

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

We present an approach for selecting objectively informative and subjectively helpful annotations to social media posts. We draw on data from on an online environment where contributors annotate misinformation and simultaneously rate the…

Social and Information Networks · Computer Science 2022-10-31 Stefan Wojcik , Sophie Hilgard , Nick Judd , Delia Mocanu , Stephen Ragain , M. B. Fallin Hunzaker , Keith Coleman , Jay Baxter

Social technologies have made it possible to propagate disinformation and manipulate the masses at an unprecedented scale. This is particularly alarming from a security perspective, as humans have proven to be the weakest link when…

Social and Information Networks · Computer Science 2020-09-09 Gururaghav Raman , Bedoor AlShebli , Marcin Waniek , Talal Rahwan , Jimmy Chih-Hsien Peng

Efforts by foreign actors to influence public opinion have gained considerable attention because of their potential to impact democratic elections. Thus, the ability to identify and counter sources of disinformation is increasingly becoming…

Social and Information Networks · Computer Science 2022-10-13 Mark M. Bailey

Recent research has explored the increasingly important role of social media by examining the dynamics of individual and group behavior, characterizing patterns of information diffusion, and identifying influential individuals. In this…

Social and Information Networks · Computer Science 2011-10-13 Greg Ver Steeg , Aram Galstyan

Rumor propagation in social networks undermines social stability and public trust, calling for interventions that are both effective and resource-efficient. We develop a node-level, time-varying optimal intervention framework that allocates…

Social and Information Networks · Computer Science 2025-11-03 Yan Zhu , Qingyang Liu , Chang Guo , Tianlong Fan , Linyuan Lü

Our main contribution in this work is novel results of multilingual models that go beyond typical applications of rumor or misinformation detection in English social news content to identify fine-grained classes of digital deception across…

Social and Information Networks · Computer Science 2019-09-13 Maria Glenski , Ellyn Ayton , Josh Mendoza , Svitlana Volkova

With the rapid increase in access to internet and the subsequent growth in the population of online social media users, the quality of information posted, disseminated and consumed via these platforms is an issue of growing concern. A large…

Social and Information Networks · Computer Science 2020-10-20 Amrita Bhattacharjee , Kai Shu , Min Gao , Huan Liu

The widespread of false information is a rising concern worldwide with critical social impact, inspiring the emergence of fact-checking organizations to mitigate misinformation dissemination. However, human-driven verification leads to a…

Machine Learning · Computer Science 2022-12-09 Vítor Lourenço , Aline Paes

Thanks to platforms such as Twitter and Facebook, people can know facts and events that otherwise would have been silenced. However, social media significantly contribute also to fast spreading biased and false news while targeting specific…

Social and Information Networks · Computer Science 2025-11-05 Alessandro Balestrucci , Rocco De Nicola , Marinella Petrocchi , Catia Trubiani
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