Futures for research on hate speech in online social media platforms
| Autor: | Kirtz, Jaime Lee, Talat, Zeerak |
|---|---|
| Přispěvatelé: | Strippel, Christian, Paasch-Colberg, Sünje, Emmer, Martin, Trebbe, Joachim |
| Rok vydání: | 2023 |
| Předmět: |
Publizistische Medien
Journalismus Verlagswesen News media journalism publishing hate speech interaktive elektronische Medien Medieninhalte Aussagenforschung Interactive electronic Media Media Contents Content Analysis Soziale Medien Kontextanalyse Sprache social media context analysis language 10800 30200 50200 10500 10200 |
| Zdroj: | Challenges and perspectives of hate speech research, 12, Digital Communication Research, 467-482 |
| Druh dokumentu: | Sammelwerksbeitrag<br />collection article |
| ISSN: | 2198-7610 |
| DOI: | 10.48541/dcr.v12.27 |
| Popis: | This chapter provides an overview of the various themes and points of connections between the various chapters in this section and outlines the current limitations as well as the major social and technical issues that still need to be addressed in hate speech detection. In particular, the authors discuss the ways in contexts - from legal contexts such as laws determining data collection methods to sociocultural contexts like annotator knowledge - affect the possibilities for the machine learning pipelines. Along with identifying current issues and limitations, the authors delineate future avenues for hate speech detection research. |
| Databáze: | SSOAR – Social Science Open Access Repository |
| Externí odkaz: |
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