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Both politics and pandemics have recently provided ample motivation for the development of machine learning-enabled disinformation (a.k.a. fake news) detection algorithms. Existing literature has focused primarily on the fully-automated…

Computation and Language · Computer Science 2021-11-10 Alexander Michael Daniel

The spread of online misinformation threatens public health, democracy, and the broader society. While professional fact-checkers form the first line of defense by fact-checking popular false claims, they do not engage directly in…

Social and Information Networks · Computer Science 2023-03-14 Bing He , Mustaque Ahamad , Srijan Kumar

Social media platforms often assume that users can self-correct against misinformation. However, social media users are not equally susceptible to all misinformation as their biases influence what types of misinformation might thrive and…

Detecting misinformation threads is crucial to guarantee a healthy environment on social media. We address the problem using the data set created during the COVID-19 pandemic. It contains cascades of tweets discussing information weakly…

Computation and Language · Computer Science 2023-04-07 Tommaso Fornaciari , Luca Luceri , Emilio Ferrara , Dirk Hovy

Information is a critical dimension in warfare. Inaccurate information such as misinformation or disinformation further complicates military operations. In this paper, we examine the value of misinformation and disinformation to a military…

Optimization and Control · Mathematics 2019-01-08 Yanling Chang , Matthew F. Keblis , Ran Li , Eleftherios Iakovou , Chelsea C. White

Online Social Networks (OSNs) are a cutting edge topic. Almost everybody --users, marketers, brands, companies, and researchers-- is approaching OSNs to better understand them and take advantage of their benefits. Maybe one of the key…

Social and Information Networks · Computer Science 2011-04-22 Daniel Gayo-Avello , David J. Brenes , Diego Fernández-Fernández , María E. Fernández-Menéndez , Rodrigo García-Suárez

Influence diffusion and influence maximization in large-scale online social networks (OSNs) have been extensively studied, because of their impacts on enabling effective online viral marketing. Existing studies focus on social networks with…

Social and Information Networks · Computer Science 2012-12-04 Yanhua Li , Wei Chen , Yajun Wang , Zhi-Li Zhang

Following a particular news story online is an important but difficult task, as the relevant information is often scattered across different domains/sources (e.g., news articles, blogs, comments, tweets), presented in various formats and…

Computation and Language · Computer Science 2018-08-20 Bichen Shi , Thanh-Binh Le , Neil Hurley , Georgiana Ifrim

Censorship and the distribution of false information, tools used to manipulate what users see and believe, are seemingly at opposite ends of the information access spectrum. Most previous work has examined them in isolation and within…

Human-Computer Interaction · Computer Science 2025-09-23 Zaid Hakami , Yuzhou Feng , Bogdan Carbunar

The spread of fake news on online social networks (OSNs) has become a matter of concern. These platforms are also used for propagating important authentic information. Thus, there is a need for mitigating fake news without significantly…

Social and Information Networks · Computer Science 2022-07-18 Suyog Kapsikar , Indrajit Saha , Khushboo Agarwal , Veeraruna Kavitha , Quanyan Zhu

This study investigates who should bear the responsibility of combating the spread of misinformation in social networks. Should that be the online platforms or their users? Should that be done by debunking the "fake news" already in…

Physics and Society · Physics 2024-10-15 Diana Riazi , Giacomo Livan

The emergence of Large Language Models (LLMs) presents a dual challenge in the fight against disinformation. These powerful tools, capable of generating human-like text at scale, can be weaponised to produce sophisticated and persuasive…

We propose an information propagation model that captures important temporal aspects that have been well observed in the dynamics of fake news diffusion, in contrast with the diffusion of truth. The model accounts for differential…

Social and Information Networks · Computer Science 2022-06-24 Michael Simpson , Farnoosh Hashemi , Laks V. S. Lakshmanan

The wide adoption of social media platforms has brought about numerous benefits for communication and information sharing. However, it has also led to the rapid spread of misinformation, causing significant harm to individuals, communities,…

Data Structures and Algorithms · Computer Science 2023-08-21 Ahad N. Zehmakan , Khushvind Maurya

Platforms have struggled to keep pace with the spread of disinformation. Current responses like user reports, manual analysis, and third-party fact checking are slow and difficult to scale, and as a result, disinformation can spread…

Computers and Society · Computer Science 2020-09-30 Austin Hounsel , Jordan Holland , Ben Kaiser , Kevin Borgolte , Nick Feamster , Jonathan Mayer

Misinformation propagation in online social networks has become an increasingly challenging problem. Although many studies exist to solve the problem computationally, a permanent and robust solution is yet to be discovered. In this study,…

Social and Information Networks · Computer Science 2023-03-21 Tolga Yilmaz , Özgür Ulusoy

The impact of multimodal misinformation arises not only from factual inaccuracies but also from the misleading narratives that creators deliberately embed. Interpreting such creator intent is therefore essential for multimodal…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Jiaying Wu , Fanxiao Li , Zihang Fu , Min-Yen Kan , Bryan Hooi

The proliferation of fake news on social media has opened up new directions of research for timely identification and containment of fake news, and mitigation of its widespread impact on public opinion. While much of the earlier research…

Machine Learning · Computer Science 2019-01-23 Karishma Sharma , Feng Qian , He Jiang , Natali Ruchansky , Ming Zhang , Yan Liu

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

This article presents the affordances that Generative Artificial Intelligence can have in misinformation and disinformation contexts, major threats to our digitalized society. We present a research framework to generate customized…

Social and Information Networks · Computer Science 2024-04-30 Javier Pastor-Galindo , Pantaleone Nespoli , José A. Ruipérez-Valiente