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Social media research: A review

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Abstract

Social media is fundamentally changing the way people communicate, consume and collaborate. It provides companies a new platform to interact with their customers. In academia, there is a surge in research efforts on understanding its effects. This paper aims to provide a review of current status of social media research. We discuss the specific domains in which the impacts of social media have been examined. A brief review of applicable research methodologies and approaches is also provided.

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Authors and Affiliations

  1. School of Economics and Management, Beihang University, Beijing, 100191, China

    Junjie Wu

  2. Michael G. Foster School of Business, University of Washington, Seattle, Washington, 98195-3226, USA

    Haoyan Sun & Yong Tan

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  1. Junjie Wu
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  2. Haoyan Sun
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  3. Yong Tan
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Corresponding author

Correspondence to Junjie Wu.

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This research was partially supported by the National Natural Science Foundation of China (NSFC) under Grants 71322104,71171007,70901002 and 71031001, by the National Information Security Research Plan of China under Grant 2012A137, by the Foundation for the Author of National Excellent Doctoral Dissertation of PR China under Grant 201189, and by the Program for New Century Excellent Talents in University under Grant NCET-11-0778. Dr. Yong Tan was supported in part by NSFC under Grants 71328103 and 71231002.

Junjie Wu received his Ph.D. degree in Management Science and Engineering from Tsinghua University in 2008. He also holds a B.E. degree in Civil Engineering from the same university. He is currently an Associate professor in Information Systems Department, School of Economics and Management, Beihang University. His general area of research is data mining and complex networks, with a special interest in solving the problems raised from the emerging big-data applications. His research was supported by over 20 grants from NSFC, MOE, MOST and MIIT. He has published one monograph in Springer and over fifty papers in refereed conference proceedings and journals, such as KDD, SCIENCE, DMKD and TKDE. He is the recipient of the NSFC Excellent Young Scholars award (2013), the National Excellent Doctoral Dissertation award (2010), and the New Century Excellent Talents in University award (2011). He is a member of ACM, IEEE, INFORMS, AIS, and CCF.

Haoyan Sun is a doctoral student in Information Systems at the Michael G. Foster School of Business, University of Washington. Her research interests include online trust, social networks, and electronic commerce. She has published in International Conference on Information Systems.

Yong Tan is the Neal and Jan Dempsey Professor of Information Systems at the Michael G. Foster School of Business, University of Washington. He received his Ph.D. in Physics and Ph.D. in Business Administration, both from the University of Washington. He was a postdoctoral fellow at the University of Strathclyde and a visiting scientist at the Laboratoire de Physique Quantique, Université Paul Sabatier. His research interests include electronic, mobile and social commerce, economics of information systems, social and economic networks, and software engineering. He has published in Management Science, Information Systems Research, Operations Research, Management Information Systems Quarterly, Journal of Management Information Systems, INFORMS Journal on Computing, IEEE/ACM Transactions on Networking, IEEE Transactions on Software Engineering, IEEE Transactions on Knowledge and Data Engineering, IIE Transactions, European Journal on Operations Research, Decision Support Systems, among others. He served as an associate editor of Information Systems Research, and is an associate editor of Management Science and a senior editor of Journal of Electronic Commerce Research. He served as a co-chair of Conference on Information Systems and Technology (CIST 2010) and the cluster chair of 2012 INFORMS Information Systems Cluster, and is a track chair of International Conference on Information Systems (ICIS 2013).

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Wu, J., Sun, H. & Tan, Y. Social media research: A review. J. Syst. Sci. Syst. Eng. 22, 257–282 (2013). https://doi.org/10.1007/s11518-013-5225-6

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