Detection and Characterization of Coordinated Online Behavior: A Survey
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2024
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866910118770114560 |
|---|---|
| author | Mannocci, Lorenzo Mazza, Michele Monreale, Anna Tesconi, Maurizio Cresci, Stefano |
| author_facet | Mannocci, Lorenzo Mazza, Michele Monreale, Anna Tesconi, Maurizio Cresci, Stefano |
| contents | 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, coordination is also core to effective disinformation, manipulation, and hate campaigns. This survey collects, categorizes, and critically discusses the body of work produced as a result of the growing interest on coordinated online behavior. We reconcile industry and academic definitions, propose a comprehensive framework to study coordinated online behavior, and review and critically discuss the existing detection and characterization methods. Our analysis identifies open challenges and promising directions of research, serving as a guide for scholars, practitioners, and policymakers in understanding and addressing the complexities inherent to online coordination. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_01257 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Detection and Characterization of Coordinated Online Behavior: A Survey Mannocci, Lorenzo Mazza, Michele Monreale, Anna Tesconi, Maurizio Cresci, Stefano Social and Information Networks Artificial Intelligence Computers and Society Human-Computer Interaction Machine Learning 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, coordination is also core to effective disinformation, manipulation, and hate campaigns. This survey collects, categorizes, and critically discusses the body of work produced as a result of the growing interest on coordinated online behavior. We reconcile industry and academic definitions, propose a comprehensive framework to study coordinated online behavior, and review and critically discuss the existing detection and characterization methods. Our analysis identifies open challenges and promising directions of research, serving as a guide for scholars, practitioners, and policymakers in understanding and addressing the complexities inherent to online coordination. |
| title | Detection and Characterization of Coordinated Online Behavior: A Survey |
| topic | Social and Information Networks Artificial Intelligence Computers and Society Human-Computer Interaction Machine Learning |
| url | https://arxiv.org/abs/2408.01257 |