Conspiracy Related

Research on conspiracy narratives focuses on distinguishing them from legitimate criticism, analyzing their spread and impact online, and identifying the characteristics of individuals who engage with them. Current studies employ natural language processing techniques, including BERT and graph neural networks, to classify online discussions and user behavior related to conspiracy theories, often leveraging large datasets from platforms like Reddit and Telegram. This work is crucial for understanding the dynamics of misinformation, improving detection methods, and informing strategies to mitigate the harmful effects of conspiracy theories on individuals and society.