Sword and Shield: Uses and Strategies of LLMs in Navigating Disinformation
Gionnieve Lim, Bryan Chen Zhengyu Tan, Kellie Yu Hui Sim, Weiyan Shi, Ming Hui Chew, Ming Shan Hee, Roy Ka-Wei Lee, Simon T. Perrault, Kenny Tsu Wei Choo

TL;DR
This paper explores how Large Language Models (LLMs) are used both to spread and combat disinformation in online forums, revealing complex dynamics and strategies among different participants.
Contribution
It introduces a communication game simulation to analyze LLM roles in disinformation, highlighting their dual potential for misuse and mitigation.
Findings
LLMs are exploited differently by disinformers, moderators, and users.
Strategies vary based on participant roles and goals.
Implications for future LLM development and platform design.
Abstract
The emergence of Large Language Models (LLMs) presents a dual challenge in the fight against disinformation. These powerful tools, capable of generating human-like text at scale, can be weaponised to produce sophisticated and persuasive disinformation, yet they also hold promise for enhancing detection and mitigation strategies. This paper investigates the complex dynamics between LLMs and disinformation through a communication game that simulates online forums, inspired by the game Werewolf, with 25 participants. We analyse how Disinformers, Moderators, and Users leverage LLMs to advance their goals, revealing both the potential for misuse and combating disinformation. Our findings highlight the varying uses of LLMs depending on the participants' roles and strategies, underscoring the importance of understanding their effectiveness in this context. We conclude by discussing…
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Taxonomy
TopicsMisinformation and Its Impacts · Hate Speech and Cyberbullying Detection · Ethics and Social Impacts of AI
