Public Discourse

Public discourse analysis examines how opinions and information are shared and debated across various platforms, aiming to understand the dynamics of communication and identify patterns of misinformation, polarization, and influence operations. Current research leverages natural language processing techniques, including topic modeling (LDA, BERTopic), sentiment analysis (VADER), and large language models (LLMs), to analyze vast datasets from social media and news sources, often focusing on controversial topics like healthcare, politics, and emerging technologies. These analyses provide valuable insights into public sentiment, the spread of narratives, and the impact of social media on societal attitudes, informing strategies for combating misinformation and promoting informed decision-making.