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相关论文: Detecting Pathogenic Social Media Accounts without…

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The spread of unwanted or malicious content through social media has become a major challenge. Traditional examples of this include social network spam, but an important new concern is the propagation of fake news through social media. A…

多智能体系统 · 计算机科学 2018-01-26 Sixie Yu , Yevgeniy Vorobeychik , Scott Alfeld

Today's social media platforms enable to spread both authentic and fake news very quickly. Some approaches have been proposed to automatically detect such "fake" news based on their content, but it is difficult to agree on universal…

社会与信息网络 · 计算机科学 2018-08-30 Oana Balmau , Rachid Guerraoui , Anne-Marie Kermarrec , Alexandre Maurer , Matej Pavlovic , Willy Zwaenepoel

Compromised accounts on social networks are regular user accounts that have been taken over by an entity with malicious intent. Since the adversary exploits the already established trust of a compromised account, it is crucial to detect…

社会与信息网络 · 计算机科学 2020-10-26 Dominic Seyler , Lunan Li , ChengXiang Zhai

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…

计算与语言 · 计算机科学 2023-04-07 Tommaso Fornaciari , Luca Luceri , Emilio Ferrara , Dirk Hovy

Artificial intelligence (AI)-powered recommender systems play a crucial role in determining the content that users are exposed to on social media platforms. However, the behavioural patterns of these systems are often opaque, complicating…

社会与信息网络 · 计算机科学 2023-09-20 Giulio Corsi

Compromising social network accounts has become a profitable course of action for cybercriminals. By hijacking control of a popular media or business account, attackers can distribute their malicious messages or disseminate fake information…

密码学与安全 · 计算机科学 2015-09-14 Manuel Egele , Gianluca Stringhini , Christopher Kruegel , Giovanni Vigna

Misinformation on social media presents a major threat to modern societies. While previous research has analyzed the virality across true and false social media posts, not every misleading post is necessarily equally viral. Rather,…

社会与信息网络 · 计算机科学 2023-03-09 Chiara Drolsbach , Nicolas Pröllochs

Although social media provides a vibrant platform to discuss real-world events, the quantity of information generated can overwhelm decision making based on that information. By better understanding who is participating in information…

社会与信息网络 · 计算机科学 2018-10-03 Rahul Pandey , Hemant Purohit , Jennifer Chan , Aditya Johri

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…

计算机与社会 · 计算机科学 2024-01-26 Hina Qayyum , Muhammad Ikram , Benjamin Zi Hao Zhao , an D. Wood , Nicolas Kourtellis , Mohamed Ali Kaafar

Social networks offer a ready channel for fake and misleading news to spread and exert influence. This paper examines the performance of different reputation algorithms when applied to a large and statistically significant portion of the…

The massive spread of digital misinformation has been identified as a major global risk and has been alleged to influence elections and threaten democracies. Communication, cognitive, social, and computer scientists are engaged in efforts…

社会与信息网络 · 计算机科学 2026-05-19 Chengcheng Shao , Giovanni Luca Ciampaglia , Onur Varol , Kaicheng Yang , Alessandro Flammini , Filippo Menczer

The accelerated development of social media websites has posed intricate security issues in cyberspace, where these sites have increasingly become victims of criminal activities including attempts to intrude into them, abnormal traffic…

机器学习 · 计算机科学 2026-01-07 Aditi Sanjay Agrawal

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…

社会与信息网络 · 计算机科学 2024-02-01 Matthew R. DeVerna , Rachith Aiyappa , Diogo Pacheco , John Bryden , Filippo Menczer

Misinformation poses a significant challenge studied extensively by researchers, yet acquiring data to identify primary sharers is time-consuming and challenging. To address this, we propose a low-barrier approach to differentiate social…

社会与信息网络 · 计算机科学 2025-11-25 Júlia Számely , Alessandro Galeazzi , Júlia Koltai , Elisa Omodei

The rise of social media has been accompanied by a dark side with the ease of creating fake accounts and disseminating misinformation through coordinated attacks. Existing methods to identify such attacks often rely on thematic similarities…

社会与信息网络 · 计算机科学 2024-07-17 Isura Manchanayaka , Zainab Razia Zaidi , Shanika Karunasekera , Christopher Leckie

The rise of fake news in the past decade has brought with it a host of consequences, from swaying opinions on elections to generating uncertainty during a pandemic. A majority of methods developed to combat disinformation either focus on…

计算机与社会 · 计算机科学 2021-08-26 Mansooreh Karami , Tahora H. Nazer , Huan Liu

Modern social media platforms play an important role in facilitating rapid dissemination of information through their massive user networks. Fake news, misinformation, and unverifiable facts on social media platforms propagate disharmony…

机器学习 · 计算机科学 2023-10-24 Mor Oren-Loberman , Vered Azar , Wasim Huleihel

Recent studies have confirmed a growing trend, especially among youngsters, of using Online Social Media as favourite information platform at the expense of traditional mass media. Indeed, they can easily reach a wide audience at a high…

社会与信息网络 · 计算机科学 2020-05-08 Alessandro Balestrucci , Rocco De Nicola

Detecting false information on social media is critical in mitigating its negative societal impacts. To reduce the propagation of false information, automated detection provide scalable, unbiased, and cost-effective methods. However, there…

社会与信息网络 · 计算机科学 2024-09-09 Sarah Condran

Online social platforms are beset with hateful speech - content that expresses hatred for a person or group of people. Such content can frighten, intimidate, or silence platform users, and some of it can inspire other users to commit…

计算与语言 · 计算机科学 2017-10-02 Haji Mohammad Saleem , Kelly P Dillon , Susan Benesch , Derek Ruths