Leveraging Large Language Models to Detect Influence Campaigns on Social Media-Reference-Cited by-同舟云学术

Leveraging Large Language Models to Detect Influence Campaigns on Social Media

Published:2024-05-13 Issue: Volume:28 Page:1459-1467
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2024
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Author:

Luceri Luca¹^ORCID,Boniardi Eric¹^ORCID,Ferrara Emilio²^ORCID

Affiliation:

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

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

Funder

DARPA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589335.3651912

Reference45 articles.

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

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3. Characterizing the 2016 Russian IRA influence campaign

4. Zijian Cai, Zhaoxuan Tan, Zhenyu Lei, Hongrui Wang, Zifeng Zhu, Qinghua Zheng, and Minnan Luo. 2023. LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection. arXiv:2306.17408 (2023).

5. Together Computer. 2023. LLaMA-2--7B-32K Model. https://huggingface.co/togethercomputer/LLaMA-2--7B-32K. Accessed: 2023.

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