Guest Editor(s)
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- Prof. Enrique Herrera-Viedma
- Department of Computer Science and Artificial Intelligence, Universidad de Granada, Granada, Spain.
Website | E-mail
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- Prof. Francisco Chiclana
- Faculty of Computing, Engineering and Media, De Montfort University, United Kingdom.
Website | E-mail
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- Prof. FJ. Cabrerizo
- Department of Computer Science and Artificial Intelligence, Universidad de Granada, Granada, Spain.
Website | E-mail
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- Prof. Juan Antonio Morente Molinera
- Department of Computer Science and Artificial Intelligence, Universidad de Granada, Granada, Spain.
Website | E-mail
Special Issue Introduction
Online platforms foster the communication capabilities of the Internet to develop Internet-based communities, where millions of users interact in real-time and share opinions and knowledge. This type of community, also known as social networks, represents an excellent scenario to carry out crowd-based decision-making since they involve a huge population in the so-called e-collaborative and e-democracy processes. Therefore, they might present an inestimable tool for governments and policymakers to leverage the wisdom of the crowds in the decision-making processes.
However, this scenario also poses several research challenges as it involves a large number of experts coming from different backgrounds and/or with different levels of knowledge and influence, and so issues such as scalability, trust definition, and propagation, influence assessment, information modeling, consensus, and information aggregation, among others may arise.
Keywords
Smart decisions, consensus, large scale decision making, fuzzy decision making, social networks, aggregation, trust management, mobile decision contexts
Submission Deadline
25 May 2022