2018/03/13 by Tim Isbister, Isbister, Tim, Magnus Sahlgren +7 · 1 citation
Computer Science · Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Social Media and Politics #Swearing, Euphemism, Multilingualism #cs.CL
paper · pdf · doi:10.48550/arxiv.1803.04757
Accepted for publication at the second workshop on Text Analytics for Cybersecurity and Online Safety (TA-COS)
arxiv created 2018/03/13 · openalex publication_date 2018/03/13 · arxiv updated 2018/03/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Hateful comments, swearwords and sometimes even death threats are becoming a reality for many people today in online environments. This is especially true for journalists, politicians, artists, and other public figures. This paper describes how hate directed towards individuals can be measured in online environments using a simple dictionary-based approach. We present a case study on Swedish politicians, and use examples from this study to discuss shortcomings of the proposed dictionary-based approach. We also outline possibilities for potential refinements of the proposed approach.