Text and social media analytics for fake news and hate speech detection / edited by H.K. Soni, Sanjiv Sharma and G.R. Sinha.

Other author Soni, Hemant Kumar.
Other author Sharma, Sanjiv.
Other author Sinha, G. R., 1975-
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton : C&H/CRC Press, 2025.
Descriptionpages cm
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects

Abstract "Identifying and stopping the dissemination of fabricated news, hate speech, or deceptive information camouflaged as legitimate news poses a significant technological hurdle. This book presents emergent methodologies and technological approaches of natural language processing through machine learning for counteracting the spread of fake news and hate speeches on social media platforms. Features Covers various approaches, algorithms and methodologies for fake news and hate speech detection Explains the automatic detection and prevention of fake news and hate speech through paralinguistic clues on social media using artificial intelligence Discusses the application of machine learning models to learn linguistic characteristics of hate speech over social media platforms. Emphasizes the role of multilingual and multimodal processing to detect fake news Includes research on different optimization techniques, case studies on the identification, prevention and social impact of fake news, and GiT Hub repository links to aid understanding The text is for professionals and scholars of various disciplines interested in fake news and hate speech detection"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2024008197
ISBN9781032526621 (hardback)
ISBN9781032529752 (paperback)
ISBN(ebook)

Availability

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Electronic Resources Access Content Online ✔ Available