Unmasking the Web of Deceit: Uncovering Coordinated Activity to Expose Information Operations on Twitter

Author:

Luceri Luca1ORCID,Pantè Valeria2ORCID,Burghardt Keith3ORCID,Ferrara Emilio4ORCID

Affiliation:

1. Information Sciences Institute, University of Southern California & University of Applied Sciences and Arts of Southern Switzerland, Marina del Rey, California, USA

2. Information Sciences Institute, University of Southern California, Marina del Rey, California, USA

3. Information Sciences Institute, University of Southern California, Los Angeles, Marina del Rey, USA

4. Thomas Lord Department of Computer Science, University of Southern California, Los Angeles, California, USA

Funder

DARPA

Swiss National Science Foundation

Publisher

ACM

Reference59 articles.

1. Linguistic Cues to Deception: Identifying Political Trolls on Social Media

2. Meysam Alizadeh, Jacob N Shapiro, Cody Buntain, and Joshua A Tucker. 2020. Content-based features predict social media influence operations. Science advances 6, 30 (2020), eabb5824.

3. Characterizing the 2016 Russian IRA influence campaign

4. Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign

5. Keith Burghardt, Ashwin Rao, Siyi Guo, Zihao He, Georgios Chochlakis, Baruah Sabyasachee, Andrew Rojecki, Shri Narayanan, and Kristina Lerman. 2023. Socio- Linguistic Characteristics of Coordinated Inauthentic Accounts. arXiv preprint arXiv:2305.11867 (2023).

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1. Leveraging Large Language Models to Detect Influence Campaigns on Social Media;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

2. Coordinated Activity Modulates the Behavior and Emotions of Organic Users: A Case Study on Tweets about the Gaza Conflict;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

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