Monitoring Targeted Hate in Online Environments
This addresses the issue of targeted hate for public figures like journalists and politicians, but it is incremental as it builds on existing dictionary methods.
The paper tackled the problem of measuring hate directed at individuals online by applying a dictionary-based approach to a case study of Swedish politicians, identifying shortcomings and suggesting potential refinements.
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.