COVID-19 Infodemic. Understanding content features in detecting fake news using a machine learning approach

ArXi:2605.06435v1 Announce Type: cross The use of content features, particularly textual and linguistic for fake news detection is under-researched, despite empirical evidence showing the features could contribute to differentiating real and fake news. To this end, this study investigates a selection of content features such as word bigrams, part of speech distribution etc. to improve fake news detection.