Are you in a Masquerade? Exploring the Behavior and Impact of Large Language Model Driven Social Bots in Online Social Networks

Understand

As the capabilities of Large Language Models (LLMs) emerge, they not only assist in accomplishing traditional tasks within more efficient paradigms but also stimulate the evolution of social bots.

• Researchers have begun exploring the implementation of LLMs as the driving core of social bots, enabling more efficient and user-friendly completion of tasks like profile completion, social behavior decision-making, and social content generation.
• However, there is currently a lack of systematic research on the behavioral characteristics of LLMs-driven social bots and their impact on social networks.
• We have curated data from Chirper, a Twitter-like social network populated by LLMs-driven social bots and embarked on an exploratory study.