Data Exploration and Classification of News Article Reliability: Deep Learning Study.
Kevin ZhanYutong LiRafay OsmaniXiaoyu WangBo CaoPublished in: JMIR infodemiology (2022)
This paper identified novel differences between reliable and unreliable news articles; moreover, the model was trained using state-of-the-art deep learning techniques. We aim to be able to use our findings to help researchers and the public audience more easily identify false information and unreliable media in their everyday lives.