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False rumors are known to have detrimental effects on society. To prevent the spread of false rumors, social media platforms such as Twitter must detect them early. In this work, we develop a novel probabilistic mixture model that…

Social and Information Networks · Computer Science 2022-04-05 Christof Naumzik , Stefan Feuerriegel

To analyze the flow of information online, experts often rely on platform-provided data from social media companies, which typically attribute all resharing actions to an original poster. This obscures the true dynamics of how information…

Social and Information Networks · Computer Science 2026-05-26 Matthew R. DeVerna , Francesco Pierri , Rachith Aiyappa , Diogo Pacheco , John Bryden , Filippo Menczer

In recent years researchers have gravitated to social media platforms, especially Twitter, as fertile ground for empirical analysis of social phenomena. Social media provides researchers access to trace data of interactions and discourse…

Physics and Society · Physics 2023-01-05 Peter Cihon , Taha Yasseri

Truthfulness judgments are a fundamental step in the process of fighting misinformation, as they are crucial to train and evaluate classifiers that automatically distinguish true and false statements. Usually such judgments are made by…

Information Retrieval · Computer Science 2020-06-26 Kevin Roitero , Michael Soprano , Shaoyang Fan , Damiano Spina , Stefano Mizzaro , Gianluca Demartini

The rapid and widespread dissemination of misinformation through social networks is a growing concern in today's digital age. This study focused on modeling fake news diffusion, discovering the spreading dynamics, and designing control…

Multiagent Systems · Computer Science 2024-01-23 Ali Khodabandeh Yalabadi , Mehdi Yazdani-Jahromi , Sina Abdidizaji , Ivan Garibay , Ozlem Ozmen Garibay

Social media companies have struggled to provide a democratically legitimate definition of "Fake News". Reliance on expert judgment has attracted criticism due to a general trust deficit and political polarisation. Approaches reliant on the…

Computers and Society · Computer Science 2024-08-07 François t'Serstevens , Roberto Cerina , Giulia Piccillo

Real-time social media data can provide useful information on evolving hazards. Alongside traditional methods of disaster detection, the integration of social media data can considerably enhance disaster management. In this paper, we…

Social and Information Networks · Computer Science 2023-01-31 Elena-Simona Apostol , Ciprian-Octavian Truică , Adrian Paschke

There has been a growing interest within CSCW community in understanding the characteristics of misinformation propagated through computational media, and the devising techniques to address the associated challenges. However, most work in…

Computers and Society · Computer Science 2020-08-28 Md Mahfuzul Haque , Mohammad Yousuf , Ahmed Shatil Alam , Pratyasha Saha , Syed Ishtiaque Ahmed , Naeemul Hassan

In the age of social news, it is important to understand the types of reactions that are evoked from news sources with various levels of credibility. In the present work we seek to better understand how users react to trusted and deceptive…

Computation and Language · Computer Science 2018-05-31 Maria Glenski , Tim Weninger , Svitlana Volkova

This study focuses on how scientifically-correct information is disseminated through social media, and how misinformation can be corrected. We have identified examples on Twitter where scientific terms that have been misused have been…

Social and Information Networks · Computer Science 2022-04-15 Dongwoo Lim , Fujio Toriumi , Mitsuo Yoshida

Citizens and Emergency Managers need to be able to distinguish ''fake'' (untrue) news posts from real news posts on social media during disasters. This paper is based on an online survey conducted in 2018 that produced 341 responses from…

Social and Information Networks · Computer Science 2019-04-09 Linda Plotnick , Starr Hiltz , Sukeshini Grandhi , Julie Dugdale

Online misinformation poses a global risk with significant real-world consequences. To combat misinformation, current research relies on professionals like journalists and fact-checkers for annotating and debunking misinformation, and…

Social and Information Networks · Computer Science 2024-11-05 Bing He , Yibo Hu , Yeon-Chang Lee , Soyoung Oh , Gaurav Verma , Srijan Kumar

Consider a person trying to spread an important message on a social network. He/she can spend hours trying to craft the message. Does it actually matter? While there has been extensive prior work looking into predicting popularity of…

Social and Information Networks · Computer Science 2014-05-08 Chenhao Tan , Lillian Lee , Bo Pang

Researchers have found that fake news spreads much times faster than real news. This is a major problem, especially in today's world where social media is the key source of news for many among the younger population. Fact verification,…

Computation and Language · Computer Science 2024-10-08 Suryavardan Suresh , Anku Rani , Parth Patwa , Aishwarya Reganti , Vinija Jain , Aman Chadha , Amitava Das , Amit Sheth , Asif Ekbal

Rumor spreading on online social media is presenting a significant threat to society of post-truth epoch. Extensive efforts have been devoted to rumor identification and debunking, assuming that a specific rumor propagation is a single…

Physics and Society · Physics 2018-04-17 Daqing Li , Jiali Gao , Jichang Zhao , Zilong Zhao , Levy Orr , Shlomo Havlin

Misinformation proliferates in the online sphere, with evident impacts on the political and social realms, influencing democratic discourse and posing risks to public health and safety. The corporate world is also a prime target for fake…

Computers and Society · Computer Science 2024-01-05 Ke Zhou , Sanja Scepanovic , Daniele Quercia

Online users discuss and converse about all sorts of topics on social networks. Facebook, Twitter, Reddit are among many other networks where users can have this freedom of information sharing. The abundance of information shared over these…

Social and Information Networks · Computer Science 2021-11-24 Jasser Jasser , Ivan Garibay , Steve Scheinert , Alexander V. Mantzaris

Background: The COVID-19 outbreak has left many people isolated within their homes; these people are turning to social media for news and social connection, which leaves them vulnerable to believing and sharing misinformation.…

In recent years, the reliability of information on the Internet has emerged as a crucial issue of modern society. Social network sites (SNSs) have revolutionized the way in which information is spread by allowing users to freely share…

Machine Learning · Computer Science 2017-10-23 Eugenio Tacchini , Gabriele Ballarin , Marco L. Della Vedova , Stefano Moret , Luca de Alfaro

Online engagement with misinformation threatens societal well-being, particularly during health crises when susceptibility to misinformation is heightened in a multi-topic context. Here, we focus on the COVID-19 pandemic and address a…

Social and Information Networks · Computer Science 2025-07-31 Yuwei Chuai , Jichang Zhao , Gabriele Lenzini