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Related papers: Detecting Coordinated Behaviour on Video-First Pla…

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Detecting coordinated inauthentic behavior (CIB) is central to the study of online influence operations. However, most methods focus on text-centric platforms, leaving video-first ecosystems like TikTok largely unexplored. To address this…

Social and Information Networks · Computer Science 2025-10-08 Luca Luceri , Tanishq Vijay Salkar , Ashwin Balasubramanian , Gabriela Pinto , Chenning Sun , Emilio Ferrara

Like other social media, TikTok is embracing its use as a search engine, developing search products to steer users to produce searchable content and engage in content discovery. Their recently developed product search recommendations are…

Information Retrieval · Computer Science 2025-05-14 Taylor Annabell , Robert Gorwa , Rebecca Scharlach , Jacob van de Kerkhof , Thales Bertaglia

Coordinated online behavior, which spans from beneficial collective actions to harmful manipulation such as disinformation campaigns, has become a key focus in digital ecosystem analysis. Traditional methods often rely on monomodal…

Social and Information Networks · Computer Science 2026-02-16 Lorenzo Mannocci , Stefano Cresci , Matteo Magnani , Anna Monreale , Maurizio Tesconi

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

Short-form video platforms integrate text, visuals, and audio into complex communicative acts, yet existing research analyzes these modalities in isolation, lacking scalable frameworks to interpret their joint contributions. This study…

Multimedia · Computer Science 2026-01-22 Mingyue Zha , Ho-Chun Herbert Chang

Coordinated information operations remain a persistent challenge on social media, despite platform efforts to curb them. While previous research has primarily focused on identifying these operations within individual platforms, this study…

Social and Information Networks · Computer Science 2025-04-25 Federico Cinus , Marco Minici , Luca Luceri , Emilio Ferrara

The rapid growth of video content on platforms such as TikTok and YouTube has intensified the spread of multimodal hate speech, where harmful cues emerge subtly and asynchronously across visual, acoustic, and textual streams. Existing…

Computer Vision and Pattern Recognition · Computer Science 2026-01-30 Qiyue Sun , Tailin Chen , Yinghui Zhang , Yuchen Zhang , Jiangbei Yue , Jianbo Jiao , Zeyu Fu

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

Coordination is a fundamental aspect of life. The advent of social media has made it integral also to online human interactions, such as those that characterize thriving online communities and social movements. At the same time,…

Social and Information Networks · Computer Science 2026-04-13 Lorenzo Mannocci , Michele Mazza , Anna Monreale , Maurizio Tesconi , Stefano Cresci

In the context of the rapid dissemination of multimedia content, identifying disinformation on social media platforms such as TikTok represents a significant challenge. This study introduces a hybrid framework that combines the…

Computer Vision and Pattern Recognition · Computer Science 2026-01-28 Jared D. T. Guerrero-Sosa , Andres Montoro-Montarroso , Francisco P. Romero , Jesus Serrano-Guerrero , Jose A. Olivas

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

Large-scale online campaigns, malicious or otherwise, require a significant degree of coordination among participants, which sparked interest in the study of coordinated online behavior. State-of-the-art methods for detecting coordinated…

Social and Information Networks · Computer Science 2024-05-10 Serena Tardelli , Leonardo Nizzoli , Maurizio Tesconi , Mauro Conti , Preslav Nakov , Giovanni Da San Martino , Stefano Cresci

This study presents a pioneering investigation into the wide array of coping mechanisms employed by individuals in the year 2023, with a focus on data collected through the popular social media platform TikTok. Coping mechanisms are…

Social and Information Networks · Computer Science 2023-09-06 Abhijit Paul , Rony Majumder

The rapid rise of video content on platforms such as TikTok and YouTube has transformed information dissemination, but it has also facilitated the spread of harmful content, particularly hate videos. Despite significant efforts to combat…

Multimedia · Computer Science 2025-05-20 Yinghui Zhang , Tailin Chen , Yuchen Zhang , Zeyu Fu

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

Social media platforms are constantly shifting towards algorithmically curated content based on implicit or explicit user feedback. Regulators, as well as researchers, are calling for systematic social media algorithmic audits as this shift…

Information Retrieval · Computer Science 2025-04-28 Matej Mosnar , Adam Skurla , Branislav Pecher , Matus Tibensky , Jan Jakubcik , Adrian Bindas , Peter Sakalik , Ivan Srba

The problem of multimodal clustering arises whenever the data are gathered with several physically different sensors. Observations from different modalities are not necessarily aligned in the sense there there is no obvious way to associate…

Machine Learning · Statistics 2020-12-10 Vasil Khalidov , Florence Forbes , Radu Horaud

Social media platforms face escalating challenges in detecting harmful content that promotes muscle dysmorphic behaviors and cognitions (bigorexia). This content can evade moderation by camouflaging as legitimate fitness advice and…

Computer Vision and Pattern Recognition · Computer Science 2026-01-27 Minh Duc Chu , Kshitij Pawar , Zihao He , Roxanna Sharifi , Ross Sonnenblick , Magdalayna Curry , Laura D'Adamo , Lindsay Young , Stuart B Murray , Kristina Lerman

Coordinated multi-platform information operations are implemented in a variety of contexts on social media, including state-run disinformation campaigns, marketing strategies, and social activism. Characterized by the promotion of messages…

Social and Information Networks · Computer Science 2023-09-25 Fabio Barbero , Sander op den Camp , Kristian van Kuijk , Carlos Soto García-Delgado , Gerasimos Spanakis , Adriana Iamnitchi

Cross-modal retrieval is the task of retrieving samples of a given modality by using queries of a different one. Due to the wide range of practical applications, the problem has been mainly focused on the vision and language case, e.g. text…

Computer Vision and Pattern Recognition · Computer Science 2024-01-30 Jorge Sánchez , Rodrigo Laguna
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