Who Gets the Attention?
The Interactions among Similar Social Media Content
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Speaker (s):
GU Bin
Earl and Gladys Davis Distinguished Professor
and Associate Dean of China Programs
W. P. Carey School of Business,
Arizona State University
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Date:
Time:
Venue:
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March 19, 2019, Tuesday
10:30am - 12:00pm
Meeting Room 5.1, Level 5
School of Information Systems
Singapore Management University
80 Stamford Road
Singapore 178902
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ABSTRACT
Social media platforms contain a massive volume of content vying for users’ attention. We study what factors attract attention for one user’s content when other users are publishing similar content. We conjecture that the attention allocated to a user’s content can be suppressed or amplified by the spread of similar content. To investigate this phenomenon, we formulated a generalized self-exciting point process model and estimated the model using Twitter data. We observe that, on average, a user’s content tends to be amplified and receive more attention when similar content from other users is concurrently diffusing. We also identify an asymmetry among users that produce content as those connected with larger networks are better able to gain recognition and benefit from the diffusion of similar content.
Keywords: Social media; content diffusion; point process
About the Speaker
Bin GU is Earl and Gladys Davis Distinguished Professor and associate dean of China Programs at the W. P. Carey School of Business at Arizona State University. Professor Gu’s research interests are in data analytics, online platforms, online social media and social network, mobile commerce and IT-enabled business models. His work has appeared in Management Science, MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Production and Operations Management, Journal of Retailing, Decision Support Systems, Journal of Financial Service Research and other academic journals.
In addition to his research activities at the W. P. Carey School of Business, Professor Gu maintains an active international research agenda. He has received multiple research grants from the Robert Wood Johnson Foundation, the NET Institute, Center for the Studies of Economic Liberty, Center for Service Leadership and National Science Foundation of China. Professor Gu teaches Emerging Technology, IT-enabled Business Model and Business Analytics Strategy across multiple online and onsite platforms at the graduate level both in the US and in China. Prior to joining ASU, Professor Gu served on the faculty at McCombs School of Business at The University of Texas at Austin.
Professor Gu currently serves on the editorial boards of MIS Quarterly as a senior editor, and Information Systems Research as an associate editor. He also serves as an associate editor or program committee member of International Conference on Information Systems (ICIS), INFORMS Conference on Information Systems Technology (CIST) and ACM Conference on Electronic Commerce (ACM EC).
