Auditing Social Media
Gilles and Erwan discuss the challenges of sampling data from social media platforms, particularly Twitter, and the implications of their findings on shadow banning. They emphasize the need for robust auditing methods to understand the behavior of platforms and the societal impact of large language models. Their ongoing research aims to uncover reliable information amidst the complexities of remote models and their interactions.In this clip
From this podcast
Data Skeptic
Auditing LLMs and Twitter
Related Questions
What is the role of data on Twitter?
What's your opinion on using large language models (LLMs) for scientific research, especially for generating new ideas for hypotheses as discussed in the episode AI For Good - Detecting Harmful Content at Scale // Matar Haller // #245 and the clip Model Bias Mitigation?