The datafication of hate speech

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKirjan luku tai artikkeliTieteellinenvertaisarvioitu

Abstrakti

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 re- quired by the datafication of hate to build such an automated system. The obser- vations 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 automa- ted 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.
Alkuperäiskielienglanti
OtsikkoChallenges and perspectives of hate speech research
ToimittajatChristian Strippel, Sünje Paasch-Colberg, Martin Emmer, Joachim Trebbe
Sivumäärä18
JulkaisupaikkaBerlin
KustantajaFreie Universität Berlin
Julkaisupäivä17 huhtik. 2023
Sivut301-318
ISBN (elektroninen)978-3-945681-12-1
DOI - pysyväislinkit
TilaJulkaistu - 17 huhtik. 2023
OKM-julkaisutyyppiA3 Kirjan tai muun kokoomateoksen osa

Julkaisusarja

NimiDigital Communication Research
Vuosikerta12
Nimi
ISSN (elektroninen)2198-7610

Tieteenalat

  • 518 Media- ja viestintätieteet
  • 5141 Sosiologia

Siteeraa tätä