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讲座:Drowned Out or Helped Out? Diffusion of Similar Soc...

来源:上海交通大学安泰经济与管理学院 | 2019-05-17 | 发布:经管之家

管理信息系统系学术讲座

题目:Drowned Out or Helped Out? Diffusion of Similar Social Media Content

嘉宾:顾彬 教授美国亚利桑那州立大学

主持人:宋婷婷助理教授安泰经济与管理学院 管理信息系统系

时间:2019年5月20日(周一)15:00-16:30

地点:上海交通大学徐汇校区 安泰楼A305室

讲座摘要:

Social media platforms disseminate a massive volume of user-generated content, some of which convey similar and overlapping information. We study how the diffusion of a given piece of user-generated content (called a cascade) is influenced by the diffusion of other cascades carrying similar content (called parallel cascades). We theorize that the diffusion of a cascade can be inhibited or amplified by the spread of parallel cascades containing similar content. To investigate this phenomenon, we formulate a generalized version of the self-exciting point process model and showcase a novel approach to evaluating the parallel diffusion of social media content. We estimated the model using Twitter data. We observe that, on average, the diffusion of a cascade is inhibited by the concurrent diffusion of parallel cascades with similar content. This shows that content redundancy tends to hinder diffusion. We also identify an asymmetry among producers as the diffusion of content contributed by those connected with larger networks is more likely to be amplified by the parallel diffusion of similar content. Thus, smaller, individual social media content contributors should avoid publishing repetitive content and channel their efforts towards developing novel content while this is not a concern for larger content contributors. Our work represents an addition to the growing field of computational social science as we analyze a rich data set using text analysis techniques from computer science and an interdisciplinary statistical model. Furthermore, because the Twitter data are collected in the context of sudden-onset disasters, we also contribute to the nascent literature on social media during crisis events. (co-authors:Eunae Yoo and Elliot Rabinovich)


嘉宾简介:

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. ProfessorGu’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.


ProfessorGu 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).

ProfessorGu's research was awarded the 2018 Workshop on Information Systems and Economics Best Paper Award, the 2017 Hawaii International Conference on System Sciences Best Paper Award, the 2017International Conference on Information Systems Best Paper in Track Award, the 2016 W P Carey Faculty Research Award, the 2012 an 2014 Emerald Citations of Excellence Award, the 2014 Americas Conference on Information Systems Best Research-in-Progress Award, the Journal of Retailing Top Cited Article 2007-2011, the 2008 Information Systems Research Best Published Paper Award, and the 2007 International Conference on Information Systems (ICIS) Best Paper-in-Track Award. Before joining academia, ProfessorGu had worked for Arthur Andersen as a consultant.

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