Social Media and Crowdsourcing
Auerbach (Verlag)
978-1-032-38687-4 (ISBN)
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.
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.
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.
| Erscheinungsdatum | 12.12.2023 |
|---|---|
| Reihe/Serie | Advances in Computational Collective Intelligence |
| Zusatzinfo | 20 Tables, black and white; 30 Line drawings, black and white; 30 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 700 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Technik ► Elektrotechnik / Energietechnik | |
| ISBN-10 | 1-032-38687-8 / 1032386878 |
| ISBN-13 | 978-1-032-38687-4 / 9781032386874 |
| Zustand | Neuware |
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