Bias in AI-Generated News Content: An Analysis of Large Language Models

Large language models exhibit substantial gender and racial biases in the news content they generate, with biases manifested at the word, sentence, and document levels. Among the examined models, ChatGPT demonstrates the lowest level of bias, partly due to its reinforcement learning from human feedback feature, but it is also vulnerable to generating highly biased content when provided with biased prompts.