The Impact of Social Computing

Irwin King

Department of Computer Science and Engineering
The Chinese University of Hong Kong


Technological advances have drastically changed the nature of communication and socialization. Social networking has connected people at low cost, allowing individuals to interact through websites and mobile devices. It has also proved beneficial for entrepreneurs and small businesses to expand their contacts base. However, unsavory consequences have also emerged, such as cyberbullying, online predation and privacy concerns. Social computing studies social behavioral data collected from social media platforms such as blogs, wikis, emails, instant messages and tags. For example, Google used search behavior data to predict influenza outbreaks. How does social computing impact our culture, commerce and community? How can it be used to predict behavior? Can companies use this data to enhance their competitiveness? This talk will provide some insights to social computing and its impact to various aspects in our every lives.


Dr. King's research interests include machine learning, web intelligence & social computing, and multimedia processing. In these research areas, he has over 210 technical publications in journals and conferences. In addition, he has contributed over 20 book chapters and edited volumes. Moreover, Dr. King has over 30 research and applied grants. One notable system he has developed is the VeriGuide System, which detects similar sentences and performs readability analysis of text-based documents in both English and in Chinese to promote academic integrity and honesty.

Dr. King is an Associate Editor of the IEEE Transactions on Neural Networks (TNN) and IEEE Computational Intelligence Magazine (CIM). He is a member of the Editorial Board of a number of journals. He is a senior member of IEEE and a member of ACM, International Neural Network Society (INNS), and Asian Pacific Neural Network Assembly (APNNA). Currently, he is serving the Neural Network Technical Committee (NNTC) and the Data Mining Technical Committee under the IEEE Computational Intelligence Society (formerly the IEEE Neural Network Society). He is also a member of the Board of Governors of INNS and a Vice-President and Governing Board Member of APNNA.

Dr. King is currently with the Chinese University of Hong Kong. He received his B.Sc. degree in Engineering and Applied Science from California Institute of Technology, Pasadena and his M.Sc. and Ph.D. degree in Computer Science from the University of Southern California, Los Angeles.

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