Buch, Englisch, 143 Seiten, Format (B × H): 173 mm x 246 mm, Gewicht: 448 g
Analysis, Detection, and Mitigation
Buch, Englisch, 143 Seiten, Format (B × H): 173 mm x 246 mm, Gewicht: 448 g
Reihe: Synthesis Lectures on Human Language Technologies
ISBN: 978-3-031-86594-7
Verlag: Springer Nature Switzerland
This book informs readers on how to understand, detect, and mitigate hate speech in online social media. The authors first cover the definition of hate speech and how its prevalence can be measured on online social media platforms using text and graph-based methods. The book then describes the process of detecting hate speech and presents a comprehensive account of the AI models that are currently being used. Further, the authors discuss the associated challenges that must be overcome while using these models. The book concludes with an overview of the mitigation techniques for hate speech, including blocking or suspension of the accounts (hard technique) and counterspeech (soft technique), and a discussion of the effects of these techniques on social media platforms.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Sozialwissenschaften Medien- und Kommunikationswissenschaften Medienwissenschaften
- Sozialwissenschaften Medien- und Kommunikationswissenschaften Kommunikationswissenschaften Digitale Medien, Internet, Telekommunikation
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
Weitere Infos & Material
Introduction.- Analysis.- Detection.- Mitigation.- Challenges and the Road Ahead.