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Full Description
This reference text presents the important components for grasping the potential of social computing with an emphasis on concerns, challenges, and benefits of the social platform in depth.
Features:
Detailed discussion on social-cyber issues, including hate speech, cyberbullying, and others
Discusses usefulness of social platforms for societal needs
Includes framework to address the social issues with their implementations
Covers fake news and rumor detection models
Describes sentimental analysis of social posts with advanced learning techniques
The book is ideal for undergraduate, postgraduate, and research students who want to learn about the issues, challenges, and solutions of social platforms in depth.
Contents
1. Fundamental Theories for Detection of Fake News & Rumors. 2. Social Media and Cyber Crime: A Socio-Demographic Study of Awareness Level among Indian Youth. 3. Emotions Detection from Social Media Text using Machine Learning. 4. Hope Speech Detection on Social Media Platform. 5. A Multilingual Review of Hate Speech Detection in Social Media Content. 6. Analysis and Detection of Cyberbullying in Reddit discussions. 7. A Doubled-Edged Sword Called Cyberspace: Introducing the Concept of Cybercrime. 8. Cyber crime by Minors and its impact 9. Deep Learning for hate speech and offensive language detection.10. Speech Processing and Analysis for Forensics and Cyber Crime: A Systematic Review. 11. Authentication Bypass Through Social Engineering. 12. Emphasizing the power of Natural Language Processing in Cyberbully detection.
