Text and Social Media Analytics for Fake News and Hate Speech Detection (eBook, ePUB)

Redaktion: Kumar Soni, Hemant; Sinha, G. R.; Sharma, Sanjiv

• Format: ePub

Produktbeschreibung

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 such instances.

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Produktdetails

• Verlag: Taylor & Francis
• Erscheinungstermin: 21. August 2024
• Englisch
• ISBN-13: 9781040100509
• Artikelnr.: 72269383

Autorenporträt

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.

Inhaltsangabe

1. Analysis of fake news detection and prevention of various fake news
detection algorithms and its research challenges 2. Detection and
Prevention of Fake News and Hate Speech through Artificial Intelligence
Learning Techniques and Natural Language Processing 3. Detection of Fake
News and Hate Crimes on Elections using Machine learning Approaches 4.
Analytics of text and social media for Challenges of Hateful & Offensive
Speech Detection 5. The Ripple Effect of Fake News and Hate Speech on
Elections and its countermeasures using Machine Learning Methodologies: A
Critical Analysis 6. Explainable Models for the Detection of Incidents of
Fake News and Hate Speech 7. Gender biases and politics: The semiotics of
hate speech on the internet 8. Social Media Platforms and COVID-19 Related
Misinformation in India: Acceptance, Spread, and Implications 9. SIR Model
for Understanding the Spread of Fake News and Hate Speech 10. Impact on
Fake News in Social Media and Current Technology in Detection of Fake News
in Social Media 11. The role of the connotative meaning of Emotive
Expressions in Shaping Political Conflicts. An Analytical study of
Political Emotive Expressions in Arab Spring Countries 12. Detecting Fake
News and Hate Speech Using Machine Learning: An Overview of Frameworks 13.
Hate content identification in code-mixed social media data 14. Social
Media Skirmish: Dealing with fake news, misleading information and
propaganda using AI and ML 15. Detection and prevention of fake news and
hate speech through machine learning and natural language processing 16.
Fake News and Hate Speech: Influence on society and Detection by Machine
Language