1st Edition
Social Media and Crowdsourcing Application and Analytics
Social media and crowdsourcing are important tools for solving complex problems. The benefit of crowdsourcing is that it leverages the power of human intelligence cost effectively and with less time. Social Media and Crowdsourcing: Application and Analytics examines the concepts of social media and crowdsourcing as well as their analytical aspects. It explores how these technologies contribute to the real world and examines such applications as promoting social good, agriculture, healthcare, tourism, disaster management, education, crime control, and cultural heritage. The book also looks at ethical issues in crowdsourcing and future scenarios and challenges for policy. Highlights of the book include the following:
- A crowdsourcing application in agriculture
- Crowdsourcing outline for a contemporary aided medicinal backup system
- Crowdsourcing-based recommendation in the tourism industry
- Crowdsourcing mechanisms for reviving cultural heritage
Expanding the overarching concept of utilizing social media and crowdsourcing to solve various real-life problems, this book discusses how to bring together the wisdom of crowds for various decision-making problems in agriculture, disaster management, and healthcare. It addresses the various ethical issues arising out of various crowdsourcing-based applications. It puts forward diverse methodologies to involve crowdsourcing in education to implement new strategies to enhance learning outcomes. This book also addresses various problem-solving techniques for recommender applications in the travel and tourism industry.
Providing a systematic discussion of the many sectors using crowdsourcing as an essential part of social innovation, this book is a theoretical and methodological look at the application of social media.
Preface
Chapter 1 Introduction to Crowdsourcing
Bikram Pratim Bhuyan and Manisha Singh
Chapter 2 Crowdsourcing through a Digital Ecosystem: A Futuristic Tool of Remote Behavior Modification
Rajesh Verma
Chapter 3 Crowdsourcing Applications in Agriculture
Achala Shakya, Gaurav Tripathi, and Devarani Devi Ningombam
Chapter 4 Crowdsourcing Outline for Contemporary Aided Medicinal Backup Systems
Sonali Vyas, Shaurya Gupta, and Vinod Kumar Shukla
Chapter 5 Crowdsourcing-Based Recommendations in Travel and Tourism Market: A Review
Sujoy Chatterjee and Thipendra P. Singh
Chapter 6 A Comparison of Capability Measurement between Various Incident Handling and Reporting Schemas
Gyana Ranjana Panigrahi, Nalini Kanta Barpanda, Prabira Kumar Sethy, and Debabrata Samantaray
Chapter 7 Performance Evaluation of Support Vector Machine Kernel Functions on Students’ Educational Data Set
Sulaiman O. Abdulsalam, Rafiu A.Ganiyu, Elijah O.Omidiora, Stephen O. Olabiyisi, and Micheal O. Arowolo
Chapter 8 Survey of Sensors and Techniques in Microwave Imaging for Through-Wall Imaging for Detecting Trapped Humans under Rubble
Jiya A. Enoch, Ilesanmi B. Oluwafemi, and Paul K. Olulope
Chapter 9 A Comparative Study on Available Fake Detection Apps
Sakshi Gosain, Shrutika Saxena, Tapas Kumar, and Shweta Mongia
Chapter 10 Crowdsourcing Mechanisms for Reviving Cultural Heritage
Bikram Pratim Bhuyan and Ravi Tomar
Chapter 11 Ethical Issues in Crowdsourcing
Bikram Pratim Bhuyan and Thipendra P. Singh
Biography
Dr. Sujoy Chatterjee is an assistant professor, Department of Computer Science and Engineering, Amity University, Kolkata, India.
Dr. Thipendra P Singh is currently a professor at the School of Computer Science Engineering and Technology, Bennett University, Greater Noida, NCR, India.
Dr. Sunghoon Lim is currently an Associate Professor in the Department of Industrial Engineering and the Graduate School of Artificial Intelligence, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea.
Dr. Anirban Mukhopadhyay is currently a professor at the Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India.
