Real-time detection and response: How AI is shaping the future of hate speech
- Title
- Real-time detection and response: How AI is shaping the future of hate speech
- Creator
- Das, Tamish
- Description
- This chapter traverse how artificial intelligence is transforming hate speech detection by facilitating real-time detection and response. It focuses on the technical aspects of using machine learning. Natural language processing and deep learning models to identify and mark spiteful content. This chapter also discusses the advantages, obstacles, and ethical considerations associated with using AI to moderate online speech. The ultimate objective is to provide insights into how AI is changing the landscape of content moderation on platforms around the world. 2025, IGI Global Scientific Publishing. All rights reserved.
- Source
- Ethical AI Solutions for Addressing Social Media Influence and Hate Speech;pp.293-331
- Date
- 01-01-2025
- Publisher
- IGI Global
- Coverage
- Das T., Christ University, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-836939906-4; 979-836939904-0;
- Format
- online
- Language
- English
- Type
- Book chapter
Collection
Citation
Das, Tamish, “Real-time detection and response: How AI is shaping the future of hate speech,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25171.