Interested In Social Media Data? We Released A LLM-powered SM Digital Twin [self Promotion]

Hi everyone! Together with my research group, I’ve been working on a project for the past few months, and I think it might interest you all.

YSocial is a digital twin of a social network platform that improves the simulation of dynamic social interactions by integrating large language model (LLM) agents.

You can design your own scenario with LLM agents and describe them using multiple features, such as their political leaning, age, personality traits, interests, and more. Agents will interact on a topic of discussion (e.g., politics, sports) and according to a desired follower/content recommender system. Additionally, you can even make them discuss news extracted in real-time by RSS feeds!

For now, we have observed that many real-world phenomena emerge (without us forcing them), e.g., influencers, viral content, long-tailed distributions for users’ connections, etc.

This is just a sneak-peak of all YSocial features, you can read more on the website!

YSocial is on Github, open and free for everyone! Feel free to give us some feedback and contribute to the project. There is also a preprint available on ArXiv and a website with some pre-made scenarios you can test.