Neuware - 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 speech on social media platforms. - 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 GitHub repository links to aid understanding The text is for professionals and scholars of various disciplines interested in fake news and hate speech detection.

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Detalles bibliogr�ficos

T�tulo: Text and Social Media Analytics for Fake News and Hate Speech Detection
Editor: Taylor & Francis Ltd Jun 2026
Fecha de publicaci�n: 2026
Idioma: Ingl�s
ISBN 10: 103252975X
ISBN 13: 9781032529752
Encuadernaci�n: Taschenbuch
Estado: Neu
Dimensiones: 234�mil�metros de ancho por 156 de alto por 17 de largo
Peso: 458 gramos

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Sinopsis

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 speech on social media platforms.

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 GitHub repository links to aid understanding

The text is for professionals and scholars of various disciplines interested in fake news and hate speech detection.

Acerca del autor

Dr. Hemant Kumar Soni has done M. Tech (IT) from Bundelkhand University, Jhansi, Uttar Pradesh, India and Doctoral degree in Computer Science and Engineering from Amity University Madhya Pradesh, Gwalior, India. He has 26 years of teaching experience for UG and PG courses in Computer Science and presently working as Associate Professor in the Department of Computer Science and Engineering at Amity University, Madhya Pradesh. Currently 6 scholars are pursuing their PhD under his guidance. He also bears the responsibility of University Amizone Coordinator. His research interest in Data Mining, Machine Learning and Big Data. He published many research papers in Web of Science, SCI and Scopus Indexed Journals. His research articles received High citation in Scopus and Google Scholar. His research papers read across the Globe reached 7000. He is Reviewer of many referred journals including IEEE Transactions. He received two Best Paper Awards in the International Conference and organized a number of National level events and conferences. He filed the patent also in the machine learning domain. He is a member of International Association of Engineers, Hongkong, Universal Association of Computer and Electronics Engineers (UACEE), The Institute of Research Engineers and Doctors, USA, Life Member of ISTE (Indian Society for Technical Education), India and Member of IAENG Society of Computer Science and Data Mining. Under his able guidance, the students of CSE Dept. has done various projects. Dial 100 is one of the projects developed for MP Govt. A MIS for HR is another project which was developed under his guidance. He has conducted various events and conferences also.

Sanjiv Sharma (B.E.(IT), M.Tech(IT), Ph.D.) is Assistant Professor in Department of Information Technology in Madhav Institute of Technology and Science (MITS), Gwalior, India. He has been Lecturer in Amity School Engineering & Technology, New Delhi. He has 14 years of teaching and research experience. He received his Ph.D. in Computer Science & Engineering from Banasthali University Jaipur. He has published 105 research publications in various reputed international journals, book chapters and conferences.

He has guided Two (02) PhD Scholars, 22 M. Tech. Scholars and currently supervising Four (04) PhD Scholars in various renowned universities of India. His research interests include Data Mining, Social Network Analysis, Big Data Analytics, Network Security, and Outcome Based Education (OBE).He has two patents and one research project to his credit. He has also handled numerous administrative responsibilities in the institutions. He engages himself as reviewer, editor, author and session chair in various reputed journals and conferences. As an editor, he has published one book Big Data Analytics in Cognitive Social Media and Literary Text.

Prof. G R Sinha (PhD, Fellow IETE, Fellow IEI, SMACM, SMIEEE) is Provost (Vice Chancellor) in GSFC University Vadodara, India. Prior to this, he has worked as Professor at International Institute of Information Technology Bangalore (IIITB); and Professor at Myanmar Institute of Information Technology (MIIT) Mandalay Myanmar. He has been Visiting Professor (Online) in National Chung Hsing University Taiwan, at University of Sannio Italy and Visiting Professor (Honorary) in Sri Lanka Technological Campus Colombo.

He has published 321 research papers, book chapters and books at International and National levels and 27 Edited books in the field of Cognitive Science, Biomedical Signal Processing, Biometrics, Optimization Techniques, Sensors, Machine Learning, Outcome based Education, Data Deduplication with Internationally reputed publishers Elsevier, IOP, Springer, Taylor & Francis, IGI. He owns two Australian patents and one German patent. He is Associate Editor of five SCI/Scopus indexed journals and has been Guest Editor in various SCI journals, such as IET Electronics Letters, Journal of Healthcare Engineering, International Journal of Biometrics.

He has teaching and research experience of 25 years. He has been Dean of Faculty and Executive Council Member of CSVTU and currently a member of Senate of MIIT. Dr Sinha has been ACM Distinguished Speaker in the field of DSP (2017-2021). He has been Expert Member for Vocational Training Program by Tata Institute of Social Sciences (TISS) for Two Years (2017-2019); Chhattisgarh Representative of IEEE MP Sub-Section Executive Council (2014-2017); Distinguished Speaker in the field of Digital Image Processing by Computer Society of India (2015). He served as Distinguished IEEE Lecturer in IEEE India council for Bombay section. He is recipient of many Awards and recognitions. He has delivered more than 72 Keynote/Invited Talks and Chaired many Technical Sessions in International Conferences across the world. He is advisor to upcoming New Next University in Mandalay Myanmar. Dr Sinha has supervised 09 PhD Scholars, 15 M. Tech. Scholars, 100 UG level students.

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