Identifying Misinformation on YouTube through Transcript Contextual Analysis with Transformer Models
September 5, 2023 Cyprus University of TechnologyChristos Christodoulou, Nikos Salamanos, Pantelitsa Leonidou, Michail Papadakis, Michael Sirivianos https://arxiv.org/abs/2307.12155 YouTube, as a dominant platform for video content, has become an essential source of information for many. However, its user-generated nature makes it susceptible to the spread of misinformation. The challenge intensifies when considering the platform’s recommendation algorithms, …