Online Political

Online political discourse is a rapidly evolving field of study focused on understanding and improving the quality and civility of online political discussions. Current research emphasizes the development and application of large language models (LLMs) for tasks such as stance detection, answer quality assessment, and incivility detection, often employing techniques like active learning and synthetic data generation to overcome data scarcity challenges. These advancements aim to enhance the analysis of online political conversations, providing insights into opinion distributions, the spread of misinformation, and the dynamics of political polarization, with potential applications in improving online debate platforms and informing political science research.