2018/03/31 by Murphy Choy, Choy, Murphy, Mark Chong +1
Computer Science · Social Sciences · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Misinformation and Its Impacts #Spam and Phishing Detection #cs.CY
paper · pdf · doi:10.48550/arxiv.1804.03508
arxiv created 2018/03/31 · openalex publication_date 2018/03/31 · arxiv updated 2018/04/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The fake news epidemic makes it imperative to develop a diagnostic framework that is both parsimonious and valid to guide present and future efforts in fake news detection. This paper represents one of the very first attempts to fill a void in the research on this topic. The LeSiE (Lexical Structure, Simplicity, Emotion) framework we created and validated allows lay people to identify potential fake news without the use of calculators or complex statistics by looking out for three simple cues.