Document Type

Article

Rights

This item is available under a Creative Commons License for non-commercial use only

Disciplines

Information Science, Media and socio-cultural communication

Publication Details

Journal of Computer-Assisted Linguistic Research

Abstract

In this paper we investigate the contribution of previous discourse in identifying elements that are key to detecting public textual cyberbullying. Based on the analysis of our dataset, we first discuss the missing cyberbullying elements and the grammatical structures representative of discourse-dependent cyberbullying discourse. Then we identify four types of discourse dependent cyberbullying constructions: (1) fully inferable constructions, (2) personal marker and cyberbullying link inferable constructions, (3) dysphemistic element and cyberbullying link inferable constructions, and (4) dysphemistic element inferable constructions. Finally, we formalise a framework to resolve the missing cyberbullying elements that proposes several resolution algorithms. The resolution algorithms target the following discourse dependent message types: (1) polarity answers, (2) contradictory statements, (3) explicit ellipsis, (4) implicit affirmative answers, and (5) statements that use indefinite pronouns as placeholders for the dysphemistic element. Keywords:

DOI

https://doi.org/10.4995/jclr.2019.11013

Available for download on Monday, November 16, 2020

Share

COinS