Social Media and Crowdsourcing (eBook, PDF)

Application and Analytics
Redaktion: Chatterjee, Sujoy; Mukhopadhyay, Anirban; Lim, Sunghoon; Singh, Thipendra P

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 258
• Erscheinungstermin: 6. Dezember 2023
• Englisch
• ISBN-13: 9781003804864
• Artikelnr.: 69121176

Autorenporträt

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.

Inhaltsangabe

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.