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:
- 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, the book discusses how to bring together the wisdom of crowd for various decision-making problems in agricultural, 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. The 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, the book is a theoretical and methodological look at the application of social media.
The book is a systematic discussion on the many areas employing crowdsourcing as an essential part of social innovation. It fosters theoretical, methodological, well-established and validated empirical work concerning social media and crowdsourcing. Additional focus is on experimental and applied topics.
Preface.
Chapter 1 Introduction to Crowdsourcing.
Chapter 2
Crowdsourcing through a Digital Ecosystem: A Futuristic Tool of Remote
Behavior Modification.
Chapter 3 Crowdsourcing Applications in Agriculture.
Chapter 4 Crowdsourcing Outline for Contemporary Aided Medicinal Backup
Systems.
Chapter 5 Crowdsourcing-Based Recommendations in Travel and Tourism
Market: A Review.
Chapter 6 A Comparison of Capability Measurement between
Various Incident Handling and Reporting Schemas.
Chapter 7 Performance
Evaluation of Support Vector Machine Kernel Functions on Students
Educational Data Set.
Chapter 8 Survey of Sensors and Techniques in Microwave
Imaging for Through-Wall Imaging for Detecting Trapped Humans under Rubble.
Chapter 9 A Comparative Study on Available Fake Detection Apps.
Chapter 10
Crowdsourcing Mechanisms for Reviving Cultural Heritage.
Chapter 11 Ethical
Issues in Crowdsourcing.
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.
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