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The digital spread of misinformation is one of the leading threats to democracy, public health, and the global economy. Popular strategies for mitigating misinformation include crowdsourcing, machine learning, and media literacy programs…

Social and Information Networks · Computer Science 2021-06-09 Douglas Guilbeault , Samuel Woolley , Joshua Becker

Governments use propaganda, including through visual content -- or Politically Salient Image Patterns (PSIP) -- on social media, to influence and manipulate public opinion. In the present work, we collected Telegram post-history of from 989…

Human-Computer Interaction · Computer Science 2024-07-17 William Theisen , Michael Yankoski , Kristina Hook , Ernesto Verdeja , Walter Scheirer , Tim Weninger

In order to combat the creation and spread of harmful content online, this paper defines and contextualizes the concept of inauthentic, societal-scale manipulation by malicious actors. We review the literature on societally harmful content…

The widespread use of AI technologies to generate digital content has led to increased misinformation and online harm. Deep fake technologies, a type of AI, make it easier to create convincing but fake content on social media, leading to…

Human-Computer Interaction · Computer Science 2024-10-17 Farnaz Farid , Farhad Ahamed

An important part of online activities are intended to control the public opinion and behavior, being considered currently a global threat. This article identifies and conceptualizes seven online strategies employed in social media…

Social and Information Networks · Computer Science 2025-02-18 Javier Pastor-Galindo , Pantaleone Nespoli , José A. Ruipérez-Valiente , David Camacho

Trolling in online communities typically involves disruptive behaviors such as provoking anger and manipulating discussions, leading to a polarized atmosphere and emotional distress. Robust moderation is essential for mitigating these…

Computation and Language · Computer Science 2024-10-08 Huije Lee , Hoyun Song , Jisu Shin , Sukmin Cho , SeungYoon Han , Jong C. Park

The polarization of opinions, information segregation, and cognitive biases on social media have attracted significant academic attention. In real-world networks, information often spans multiple interrelated topics, posing challenges for…

Artificial Intelligence · Computer Science 2025-10-15 Dingyi Zuo , Hongjie Zhang , Jie Ou , Chaosheng Feng , Shuwan Liu

The emerging social network platforms enable users to share their own opinions, as well as to exchange opinions with others. However, adversarial network perturbation, where malicious users intentionally spread their extreme opinions,…

Computers and Society · Computer Science 2023-04-26 Yuejiang Li , Zhanjiang Chen , H. Vicky Zhao

For many, social networks have become the primary source of news, although the correctness of the provided information and its trustworthiness are often unclear. The investigations of the 2016 US presidential elections have brought the…

Cryptography and Security · Computer Science 2019-12-10 Ansgar Kellner , Lisa Rangosch , Christian Wressnegger , Konrad Rieck

Online social networks provide a medium for citizens to form opinions on different societal issues, and a forum for public discussion. They also expose users to viral content, such as breaking news articles. In this paper, we study the…

Social and Information Networks · Computer Science 2022-04-11 Sijing Tu , Stefan Neumann

Technology is increasingly used -- unintentionally (misinformation) or intentionally (disinformation) -- to spread false information at scale, with potentially broad-reaching societal effects. For example, technology enables increasingly…

The computer science research community has became increasingly interested in the study of social media due to their pervasiveness in the everyday life of millions of individuals. Methodological questions and technical challenges abound as…

Social and Information Networks · Computer Science 2017-03-07 Emilio Ferrara

Targeted advertising is meant to improve the efficiency of matching advertisers to their customers. However, targeted advertising can also be abused by malicious advertisers to efficiently reach people susceptible to false stories, stoke…

As a social animal, human conforms to the customs of society, and their behavior and opinions are greatly influenced by social norms [5]. Accordingly, people choose to hide their opinion in front of others when they feel their idea is…

Social and Information Networks · Computer Science 2019-12-10 Linh Hoang , Gerry Oei , Dasom Eom

Online harassment is a significant social problem. Prevention of online harassment requires rapid detection of harassing, offensive, and negative social media posts. In this paper, we propose the use of word embedding models to identify…

Machine Learning · Computer Science 2019-11-19 Anqi Liu , Maya Srikanth , Nicholas Adams-Cohen , R. Michael Alvarez , Anima Anandkumar

Participation on social media platforms has many benefits but also poses substantial threats. Users often face an unintended loss of privacy, are bombarded with mis-/disinformation, or are trapped in filter bubbles due to over-personalized…

Social and Information Networks · Computer Science 2020-09-17 Christian von der Weth , Ashraf Abdul , Shaojing Fan , Mohan Kankanhalli

The argument for persistent social media influence campaigns, often funded by malicious entities, is gaining traction. These entities utilize instrumented profiles to disseminate divisive content and disinformation, shaping public…

Computers and Society · Computer Science 2024-01-26 Hina Qayyum , Muhammad Ikram , Benjamin Zi Hao Zhao , an D. Wood , Nicolas Kourtellis , Mohamed Ali Kaafar

An important challenge in the process of tracking and detecting the dissemination of misinformation is to understand the political gap between people that engage with the so called "fake news". A possible factor responsible for this gap is…

Social and Information Networks · Computer Science 2017-07-18 Manoel Horta Ribeiro , Pedro H. Calais , Virgílio A. F. Almeida , Wagner Meira

Recent studies have shown that information disclosed on social network sites (such as Facebook) can be used to predict personal characteristics with surprisingly high accuracy. In this paper we examine a method to give online users…

Machine Learning · Statistics 2016-06-28 Daizhuo Chen , Samuel P. Fraiberger , Robert Moakler , Foster Provost

Misleading newsletters can shape individuals' perceptions, and pose a threat to societies; as we witnessed by lowering the severity of follow-up stay-at-home orders and burdening a significant challenge to the fight against COVID-19. In…

Physics and Society · Physics 2024-12-23 Lucila G. Alvarez-Zuzek , Lucio La Cava , Jelena Grujic , Riccardo Gallotti