Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Das, Tamish Title A name given to the resource Real-time detection and response: How AI is shaping the future of hate speech Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Ethical AI Solutions for Addressing Social Media Influence and Hate Speech;pp.293-331 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-9904-0.ch013" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-9904-0.ch013</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105000227556?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105000227556?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Das T., Christ University, India Description An account of the resource 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. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836939906-4; 979-836939904-0; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online