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Evasive offenses: Linguistic limits to the detection of hate speech
[collection article]
This document is a part of the following document:
Challenges and perspectives of hate speech research
Abstract As long as we have attempted to sanction untoward speech, others have devised strategies for expressing themselves while dodging such sanctions. In this intervention, I review the arms race between technological filters designed to curb hate speech, and evasive language practices designed to avoid d... view more
As long as we have attempted to sanction untoward speech, others have devised strategies for expressing themselves while dodging such sanctions. In this intervention, I review the arms race between technological filters designed to curb hate speech, and evasive language practices designed to avoid detection by these filters. I argue that, following important advances in the detection of relatively overt uses of hate speech, further advances will need to address hate speech that relies on culturally or situationally available context knowledge and linguistic ambiguities to convey its intended offenses. Resolving such forms of hate speech not only poses increasingly unreasonable demands on available data and technologies, but does so for limited, uncertain gains, as many evasive uses of language effectively defy unique valid classification.... view less
Keywords
speech; language; hate; sanction; interpretation; subjectivity; language usage
Classification
Sociology of Communication, Sociology of Language, Sociolinguistics
Free Keywords
hate speech
Collection Title
Challenges and perspectives of hate speech research
Editor
Strippel, Christian; Paasch-Colberg, Sünje; Emmer, Martin; Trebbe, Joachim
Document language
English
Publication Year
2023
City
Berlin
Page/Pages
p. 319-332
Series
Digital Communication Research, 12
ISSN
2198-7610
ISBN
978-3-945681-12-1
Status
Primary Publication; peer reviewed