Public Opinion

Public opinion research aims to understand and predict collective attitudes and beliefs, often focusing on political behavior, consumer preferences, and responses to events. Current research heavily utilizes large language models (LLMs), such as GPT variants, to analyze vast amounts of text data from social media and other sources, employing techniques like sentiment analysis and topic modeling to gauge opinion trends and predict voting patterns. However, studies highlight significant challenges in accurately reflecting diverse opinions and mitigating biases inherent in LLM training data, emphasizing the need for improved methodologies and more representative datasets to enhance the reliability and validity of LLM-based public opinion analysis.