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The datafication of hate speech
[collection article]
This document is a part of the following document:
Challenges and perspectives of hate speech research
Abstract Hate speech has been identified as a pressing problem in society, and several automated approaches have been designed to detect and prevent it. This chapter reflects on the operationalizations, transformations, and reductions required by the datafication of hate to build such an automated system. Th... view more
Hate speech has been identified as a pressing problem in society, and several automated approaches have been designed to detect and prevent it. This chapter reflects on the operationalizations, transformations, and reductions required by the datafication of hate to build such an automated system. The observations are based on an action research setting during a hate speech monitoring project conducted in a multi-organizational collaboration during the Finnish municipal elections in 2017. The project developed an adequately well-working algorithmic solution using supervised machine learning. However, the automated approach requires heavy simplification, such as using rudimentary scales for classifying hate speech and relying on word-based approaches, while in reality hate speech is a nuanced linguistic and social phenomenon with various tones and forms. The chapter concludes by suggesting some practical implications for developing hate speech recognition systems.... view less
Keywords
data; data acquisition; methodology; hate; language usage; online media; social media; monitoring; algorithm
Classification
Basic Research, General Concepts and History of the Science of Communication
Sociology of Communication, Sociology of Language, Sociolinguistics
Free Keywords
hate speech; datafication
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. 301-317
Series
Digital Communication Research, 12
ISSN
2198-7610
ISBN
978-3-945681-12-1
Status
Primary Publication; peer reviewed