
Social Media and Crowdsourcing
Application and Analytics
Auerbach (Publisher)
1st Edition
Published on 6. December 2023
Book
Hardback
244 pages
978-1-032-38687-4 (ISBN)
Description
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.
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.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Postgraduate
Illustrations
30 s/w Zeichnungen, 20 s/w Tabellen, 30 s/w Abbildungen
20 Tables, black and white; 30 Line drawings, black and white; 30 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 19 mm
Weight
555 gr
ISBN-13
978-1-032-38687-4 (9781032386874)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Sujoy Chatterjee | Thipendra P. Singh | Sunghoon Lim
Social Media and Crowdsourcing
Application and Analytics
Book
05/2025
1st Edition
Auerbach
€76.60
Shipment within 10-20 days

Sujoy Chatterjee | Thipendra P. Singh | Sunghoon Lim
Social Media and Crowdsourcing
Application and Analytics
E-Book
12/2023
1st Edition
Taylor & Francis
€69.99
Available for download

Sujoy Chatterjee | Thipendra P. Singh | Sunghoon Lim
Social Media and Crowdsourcing
Application and Analytics
E-Book
12/2023
1st Edition
Taylor & Francis
€69.99
Available for download
Persons
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.
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.
Editor
Amity University, West Bengal
Bennett University, Greater Noida, India.
Dept. of Computer Science and Engineering, University of Kalyani
Content
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.