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Recent years have witnessed the rise of misinformation campaigns that spread specific narratives on social media to manipulate public opinions on different areas, such as politics and healthcare. Consequently, an effective and efficient…

Machine Learning · Computer Science 2022-10-17 Yizhou Zhang , Defu Cao , Yan Liu

Current network-based methods for detecting coordinated inauthentic behaviour on social media focus primarily on inferring links between accounts based on common "behavioural traces" [19], such as retweeting the same tweet or posting the…

Social and Information Networks · Computer Science 2022-08-15 Derek Weber , Lucia Falzon

Disinformation campaigns on social media, involving coordinated activities from malicious accounts towards manipulating public opinion, have become increasingly prevalent. Existing approaches to detect coordinated accounts either make very…

Social and Information Networks · Computer Science 2021-05-19 Karishma Sharma , Yizhou Zhang , Emilio Ferrara , Yan Liu

The widespread dissemination of multimodal content on social media has made misinformation detection increasingly challenging, as misleading narratives often arise not only from textual or visual content alone, but also from semantic…

Political misinformation, astroturfing and organised trolling are online malicious behaviours with significant real-world effects. Many previous approaches examining these phenomena have focused on broad campaigns rather than the small…

Social and Information Networks · Computer Science 2022-02-28 Derek Weber , Frank Neumann

Coordinated campaigns are used to influence and manipulate social media platforms and their users, a critical challenge to the free exchange of information online. Here we introduce a general, unsupervised network-based methodology to…

Social and Information Networks · Computer Science 2021-04-09 Diogo Pacheco , Pik-Mai Hui , Christopher Torres-Lugo , Bao Tran Truong , Alessandro Flammini , Filippo Menczer

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

In the era of widespread online content consumption, effective detection of coordinated efforts is crucial for mitigating potential threats arising from information manipulation. Despite advances in isolating inauthentic and automated…

Social and Information Networks · Computer Science 2025-12-23 Letizia Iannucci , Elisa Muratore , Antonis Matakos , Mikko Kivelä

Coordinated online behaviors are an essential part of information and influence operations, as they allow a more effective disinformation's spread. Most studies on coordinated behaviors involved manual investigations, and the few existing…

Social and Information Networks · Computer Science 2021-04-02 Leonardo Nizzoli , Serena Tardelli , Marco Avvenuti , Stefano Cresci , Maurizio Tesconi

With the explosive growth of the Coronavirus Pandemic (COVID-19), misinformation on social media has developed into a global phenomenon with widespread and detrimental societal effects. Despite recent progress and efforts in detecting…

Social and Information Networks · Computer Science 2024-08-06 Mustafa Alassad , Nitin Agarwal

Studying temporal dynamics of topics in social media is very useful to understand online user behaviors. Most of the existing work on this subject usually monitors the global trends, ignoring variation among communities. Since users from…

Social and Information Networks · Computer Science 2013-12-04 Zhiting Hu , Chong Wang , Junjie Yao , Eric Xing , Hongzhi Yin , Bin Cui

The prevalence of coordinated information campaigns in social media platforms has significant negative consequences across various domains, including social, political, and economic processes. This paper proposes a multifaceted framework…

Social and Information Networks · Computer Science 2023-09-25 Kin Wai Ng , Adriana Iamnitchi

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…

Social and Information Networks · Computer Science 2024-07-17 Isura Manchanayaka , Zainab Razia Zaidi , Shanika Karunasekera , Christopher Leckie

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

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

In the age of the infodemic, it is crucial to have tools for effectively monitoring the spread of rampant rumors that can quickly go viral, as well as identifying vulnerable users who may be more susceptible to spreading such…

Social and Information Networks · Computer Science 2024-01-19 Xuan Zhang , Wei Gao

The increasing prevalence of mental health disorders, such as depression, anxiety, and bipolar disorder, calls for immediate need in developing tools for early detection and intervention. Social media platforms, like Reddit, represent a…

Machine Learning · Computer Science 2025-03-12 Qasim Bin Saeed , Ijaz Ahmed

COVID-19 impacted every part of the world, although the misinformation about the outbreak traveled faster than the virus. Misinformation spread through online social networks (OSN) often misled people from following correct medical…

Social and Information Networks · Computer Science 2022-09-08 Mohammad Majid Akhtar , Bibhas Sharma , Ishan Karunanayake , Rahat Masood , Muhammad Ikram , Salil S. Kanhere

Detecting coordinated inauthentic behavior on social media remains a critical and persistent challenge, as most existing approaches rely on superficial correlation analysis, employ static parameter settings, and demand extensive and…

Artificial Intelligence · Computer Science 2026-01-05 Weng Ding , Yi Han , Mu-Jiang-Shan Wang

The study of coordinated manipulation of conversations on social media has become more prevalent as social media's role in amplifying misinformation, hate, and polarization has come under scrutiny. We discuss the implications of successful…

Social and Information Networks · Computer Science 2021-06-08 Thomas Magelinski , Lynnette Hui Xian Ng , Kathleen M. Carley
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