Annotating linguistic features of extreme narratives: a literature review and a proposal
Year: 2024
Type: article
Abstract: The research questions addressed in this paper are twofold: 1. How can we define an extremist narrative? 2. Can a narrative’s toxicity be determined according to certain linguistic features? To this end, we first define what is currently considered an extreme narrative, with a focus on identifying the differences between hate speech and extreme speech. We next review annotations of hate speech and extreme speech, with a specific emphasis on linguistic features; then, drawing on our results of that review we propose an annotation schema to label extreme speech. Finally, we share the results of a small sample we annotated and reveal the most frequently and most consistently annotated features that could be representative markers of extreme speech.
Authors: Fabienne Baider, Alexandros Gregoriou
Institution: University of Cyprus
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7064078658