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Staying, switching, and multiplatforming of user-generated content activities: a 12-year panel study

Lei Hou (School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China) (Web Mining Lab, Department of Media and Communication, City University of Hong Kong, Kowloon Tong, Hong Kong)
Lu Guan (Web Mining Lab, Department of Media and Communication, City University of Hong Kong, Kowloon Tong, Hong Kong) (School of Journalism, Fudan University, Shanghai, China)
Yixin Zhou (Web Mining Lab, Department of Media and Communication, City University of Hong Kong, Kowloon Tong, Hong Kong) (School of Journalism and Communication, Nanjing University, Nanjing, China)
Anqi Shen (Web Mining Lab, Department of Media and Communication, City University of Hong Kong, Kowloon Tong, Hong Kong)
Wei Wang (SINA Corporation, Beijing, China)
Ang Luo (SINA Corporation, Beijing, China)
Heng Lu (Web Mining Lab, Department of Media and Communication, City University of Hong Kong, Kowloon Tong, Hong Kong)
Jonathan J.H. Zhu (Web Mining Lab, Department of Media and Communication, City University of Hong Kong, Kowloon Tong, Hong Kong)

Internet Research

ISSN: 1066-2243

Article publication date: 22 July 2022

Issue publication date: 17 July 2023

490

Abstract

Purpose

User-generated content (UGC) refers to semantic and behavioral traces created by users on various social media platforms. While several waves of platforms have come and gone, the long-term sustainability of UGC activities has become a critical question that bears significance for theoretical understanding and social media practices.

Design/methodology/approach

Based on a large and lengthy dataset of both blogging and microblogging activities of the same set of users, a multistate survival analysis was applied to explore the patterns of users' staying, switching and multiplatforming behaviors, as well as the underlying driving factors.

Findings

UGC activities are generally unsustainable in the long run, and natural attrition is the primary reason, rather than competitive switching to new platforms. The availability of leisure time, expected gratification and previous experiences drive users' sustainability.

Originality/value

The authors adopted actual behavioral data from two generations of platforms instead of survey data on users' switching intentions. Four types of users are defined: loyal, switcher, multiplatformer and dropout. As measured by the transitions among the four states, the different sustainability behaviors are thereby studied via an integrated framework. These two originalities bridge gaps in the literature and offer new insights into exploring user sustainability in social media.

Keywords

Acknowledgements

The study was partially supported by GRF 11505119 from Hong Kong RGC, CCR 9360120 and HKIDS 9360163 from City University of Hong Kong, and a Key Project of the National Social Science Foundation of China (19ZDA324).

Citation

Hou, L., Guan, L., Zhou, Y., Shen, A., Wang, W., Luo, A., Lu, H. and Zhu, J.J.H. (2023), "Staying, switching, and multiplatforming of user-generated content activities: a 12-year panel study", Internet Research, Vol. 33 No. 4, pp. 1372-1398. https://doi.org/10.1108/INTR-07-2021-0523

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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