Misinformation Video

Misinformation videos on platforms like YouTube pose a significant challenge, prompting research into automated detection and understanding of their spread. Current research focuses on leveraging natural language processing techniques, particularly transformer models like BERT and RoBERTa, applied to video transcripts to classify content as misinformation or not. Studies also investigate the dynamics of "filter bubbles," analyzing how recommendation algorithms contribute to the spread of misinformation and the potential for intervention. These efforts aim to improve online information ecosystems by developing more effective detection methods and informing strategies to mitigate the harmful effects of misinformation videos.