Climate Change Tweet

Research on climate change discourse on Twitter focuses on understanding public sentiment, identifying misinformation, and analyzing trends in conversation. Current approaches leverage machine learning, particularly natural language processing (NLP) techniques like topic modeling and sentiment analysis, often employing multi-task models and large language models (LLMs) to improve accuracy. These studies aim to provide insights into public perception of climate change, detect and mitigate the spread of misinformation, and inform strategies for effective communication and policy interventions. The resulting data and analytical frameworks offer valuable resources for researchers and policymakers seeking to understand and address the climate crisis.