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.
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. It discusses detection of social-cyber issues, including hate speech, cyberbullying, etc. using deep learning, natural language processing, etc.
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.
Dr. Pradeep Kumar Roy received the B. Tech degree in Computer Science and Engineering from BPUT University Odisha. He received his M. Tech and Ph. D. degree in Computer Science and Engineering from the National Institute of Technology Patna in 2015 and 2018, respectively. He received a Certificate of Excellence for securing a top rank in the M. Tech course. He is currently an Assistant Professor with the Department of Computer Science and Engineering, Indian Institute of Information Technology (IIIT) Surat, Gujarat, India. Earlier he worked in Vellore Institute of Technology, Vellore, Tamil Nadu, India. His area of specialization straddles across question answering, text mining, machine learning, information retrieval, social network, and wireless sensor networks. He is part of the technical program committee and chaired many technical sessions of International Conferences. He has published articles in reputed peer-reviewed journals, including IEEE Transaction on Artificial Intelligence, IEEE Transactions on Network Science and Engineering, Neural Processing Letters, IJIM, Neural Computing and Applications, Future Generation Computer Systems, and others. He has also published the conference proceedings in various international conferences.
Dr. Asis Kumar Tripathy is an Associate Professor in the School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India. He has more than ten years of teaching experience. He completed his Ph.D. from the National Institute of Technology, Rourkela, India, in 2016. His areas of research interests include wireless sensor networks, cloud computing, Internet of things and advanced network technologies. He has several publications in refereed journals, reputed conferences and book chapters to his credit. He has served as Program Committee Member in several conferences of repute. He has also been involved in many professional and editorial activities. He is Senior Member of IEEE and Member of ACM.
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