Online Misinformation

Online misinformation poses a significant threat, demanding research focused on its detection and mitigation across various platforms and modalities. Current research employs diverse approaches, including large language models (LLMs), graph-based neural networks, and techniques leveraging user feedback and evidence retrieval to identify and counter misinformation in text, speech, and video. These efforts aim to improve the accuracy and robustness of misinformation detection systems, ultimately contributing to a safer and more informed online environment.