Title Social Media and Crowdsourcing Application and Analytics

Published Milton : Auerbach Publishers, Incorporated, 2023

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Description 1 online resource (259 p.) Series Advances in Computational Collective Intelligence Series Advances in Computational Collective Intelligence Series Contents Intro -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1. Introduction to Crowdsourcing -- 1.1 Introduction -- 1.2 Major Types of Crowdsourcing Platforms -- 1.2.1 Crowdfunding as a Type of Crowdsourcing -- 1.2.2 Microtasking as a Type of Crowdsourcing -- 1.2.3 Open Innovation as a Type of Crowdsourcing -- 1.2.4 Creative Sense as a Type of Crowdsourcing -- 1.2.5 Crowd Testing as a Type of Crowdsourcing -- 1.2.6 Collaborative Knowledge as a Type of Crowdsourcing -- 1.3 The Good, Bad, and Ugly of Crowdsourcing -- 1.4 Conclusion -- References 2. Crowdsourcing through a Digital Ecosystem: A Futuristic Tool of Remote Behavior Modification -- 2.1 Introduction -- 2.1.1 Definition -- 2.1.2 Crowdsourcing: Concept Note -- 2.2 Glance at a Primary Component of Crowdsourcing -- 2.3 Remote Behavior Regulation -- 2.4 Crowdsourcing and Behavior Modification -- 2.5 Case of Masked Strategy -- 2.6 Reverse Crowdsourcing (RC) and Behavior Modification -- 2.7 Social Media and Crowdsourcing -- 2.8 Futuristic Perspectives -- 2.8.1 Improved Predictive Accuracy -- 2.8.2 Improving Accuracy of Artificial Intelligence with Big Data 2.9 Futuristic Applications -- 2.10 Conclusion -- References -- Internet Sources -- 3. Crowdsourcing Applications in Agriculture -- 3.1 Crowdsourcing Applications in the Agricultural Field and Farming Activities -- 3.2 Crowdsourcing of Data/Knowledge from Various Sensor Devices -- 3.2.1 Agricultural Land-Use/Land-Cover Data -- 3.2.2 Weather Information -- 3.2.3 Soil Data -- 3.2.4 Crop Phenology -- 3.2.5 Data Related to Diseases on Plants -- 3.2.6 Vegetation Yield Status -- 3.3 Recommendations for Data Quality Control 3.4 Comparison of Agricultural Crowdsourcing at the Global Level and Indian Perspective -- References -- 4. Crowdsourcing Outline for Contemporary Aided Medicinal Backup Systems -- 4.1 Introduction -- 4.2 Literature Review -- 4.3 Mental Health Supportive Architecture -- 4.4 Crowdsourcing Systems -- 4.5 Neighbor-Backed Medicinal Crisis Structure -- 4.6 Conclusion and Future Scope -- References -- 5. Crowdsourcing-Based Recommendations in Travel and Tourism Market: A Review -- 5.1 Introduction -- 5.2 Tourism-Based Recommender System Using Crowdsourcing -- 5.2.1 Different Variants 5.2.2 Tourism Recommendation Using Crowdsourcing -- 5.3 Different Steps of Proposed Approaches -- 5.3.1 Different Steps of the Recommendation Algorithm -- 5.3.2 Leveraging Crowdsourcing to Improve the Amenities and Services Provided by Hotels -- 5.4 Cross-Cultural Recommendation Using Crowdsourcing -- 5.5 Crowdsourcing-Based Streaming Data Processing for Better Travel -- 5.6 Crowdsourcing-Based Walking Routes -- 5.7 Conclusion -- References -- 6. A Comparison of Capability Measurement between Various Incident Handling and Reporting Schemas -- 6.1 Introduction Summary 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 Notes Description based upon print version of record 6.2 A Structural Data-Assembly Model for Incident Detection 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 the head of the Institute for the 4th Industrial Revolution, 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 Subject Social media. Crowdsourcing. social media. crowdsourcing. COMPUTERS / Database Management / Data Mining COMPUTERS / Internet / General Crowdsourcing Social media Form Electronic book Author Singh, Thipendra P Lim, Sunghoon Mukhopadhyay, Anirban. ISBN 9781003804871 100380487X 9781003346326 1003346324 9781003804864 1003804861

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