Analyzing the network of hyperlinks between news sources can effectively predict the factual reporting quality and political bias of those sources.
This study evaluates the performance of ChatGPT, a large language model, in detecting various types of media bias, including racial bias, gender bias, cognitive bias, text-level context bias, hate speech, and fake news, and compares it to the performance of fine-tuned models such as BART, ConvBERT, and GPT-2.