Online Hate Speech
Springer International Publishing (Verlag)
978-3-031-86594-7 (ISBN)
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.
Punyajoy Saha is a Ph.D. research scholar in the Department of Computer Science and Engineering at the Indian Institute of Technology, Kharagpur. He is also a member of the research group CNeRG. He has received the Prime Minister Research Fellowship (PMRF) for supporting his Ph.D. His current research lies in the intersection of computational social science and natural language processing. He is developing better mitigation strategies for hate speech and other forms of harmful speech such as fear speech. He has published several papers in top-tier conferences including AAAI, The Web conference, IJCAI, CSCW, and ICWSM.
Binny Mathew is a Ph.D. research scholar in the Department of Computer Science and Engineering at the Indian Institute of Technology, Kharagpur. His current research interests include analyzing and developing online abuse detection and mitigation models. He is focused on the areas of natural language processing and computational social science. He has published papers in several top conferences including AAAI, IJCAI, CSCW, ICWSM, The Web Conference, and WebSci. Mithun Das is a Ph.D. research scholar in the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur. His research interests lie in computational social science and natural language processing. Specifically, he is focused on developing models for multilingual and multimodal hate speech detection in online social media. Animesh Mukherjee, Ph.D., is an Associate Professor and the A. K. Singh Chair of theDepartment of Computer Science and Engineering at the Indian Institute of Technology, Kharagpur. His main research interests center around investigating hate and abusive content on social media platforms, fairness, bias in information retrieval systems, media bias, and quality monitoring of Wikipedia articles. He is a committee member of most of the top AI conferences, including The Web Conference, NeurIPS, AAAI, IJCAI, ACL, EMNLP, NAACL, Coling, CSCW, and ICWSM.Introduction.- Analysis.- Detection.- Mitigation.- Challenges and the Road Ahead.
| Erscheinungsdatum | 16.06.2025 |
|---|---|
| Reihe/Serie | Synthesis Lectures on Human Language Technologies |
| Zusatzinfo | XI, 143 p. 20 illus., 18 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 168 x 240 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Schlagworte | Artificial Intelligence • Counterspeech • detection • Hate speech • Hate Speech Solutions • Human Language Technology • Mitigation Systems • Prevalence of Hate Speech • Social Media • social network dynamics |
| ISBN-10 | 3-031-86594-4 / 3031865944 |
| ISBN-13 | 978-3-031-86594-7 / 9783031865947 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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