"Only visible for three days": Mining microblogs to understand reasons for using the Time Limit setting on WeChat Moments. (September 2022)

• Record Type: Journal Article
• Authors: Zhang, Yun; Ran, Xinzhu; Luo, Chuan; Gao, Yue; Zhao, Yu; Shuai, Qinghong
• Is Part Of: Computers in human behavior. Volume 134(2022)
• Publication Date: 2022-09
• Subjects: Ephemerality -- Time limit setting -- Latent Dirichlet allocation -- WeChat Moments; Interactive computer systems -- Periodicals; Man-machine systems -- Periodicals; 004.019
• DOI: 10.1016/j.chb.2022.107316
• Languages: English
• ISSNs: 0747-5632

Abstract

Abstract: Social media platforms are increasingly implementing ephemerality settings to meet users' need to manage past posts. However, few studies discuss factors influencing the use of ephemerality-related designs on social media. Using a text mining approach, we explore users' main reasons for choosing the Time Limit setting on WeChat Moments. We apply the latent Dirichlet allocation (LDA) method to analyze a dataset of 26, 059 Weibo microblogs and comments relating to the use of the three-day limit on WeChat Moments. Our results indicate that evolving self-presentation, life changes, changes to the social network, the burden of impression management, the desire to retain a sense of mystery, privacy protection, mood state, and the use of substitute platforms are potential factors. We further indicate that changes in life and social networks may lead to evolving self-presentation and increase the burden of impression management. Our findings may provide a foundation for further scholarly exploration of ephemerality on social media and inspire practitioners to design more granular ephemerality settings. Highlights: We explored the Time Limit setting adoption on Moments through text mining approach. We identified eight reasons (e.g., retain mystery) for using the Time Limit setting. Changes in life and social networks may lead to evolving self-presentation. Changes in life and social networks may increase the burden of impression management.