Abstract
Based on the development trend of SNSs (social networking sites) and individuals’ specific experiences on SNSs, the current study aimed to investigate the association between information overload and the intention to reduce SNS usage, as well as the mediating roles of negative social comparison and SNS fatigue in this relationship. A sample of 986 undergraduate students who had an active WeChat Moments (the most popular SNS in China) account was recruited to participate in this research. The results indicated the followings: (1) There was a significantly positive association between each two variables among information overload, negative social comparison, SNS fatigue and the intention to reduce SNS usage. (2) After controlling for gender and age, information overload was positively associated with the intention to reduce SNS usage through the mediating roles of negative social comparison and SNS fatigue, and this association contained three mediating paths – the independent mediation effects of negative social comparison and SNS fatigue and the sequential mediation effect of negative social comparison and SNS fatigue. These results not only expand relevant research but also provide practical implications for the reasonable use and sustainable development of SNS.
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References
Appel, H., Gerlach, A. L., & Crusius, J. (2016). The interplay between Facebook use, social comparison, envy, and depression. Current Opinion in Psychology, 9, 44–49. https://doi.org/10.1016/j.copsyc.2015.10.006.
Brandenberg, G., Ozimek, P., Bierhoff, H. W., & Janker, C. (2018). The relation between use intensity of private and professional SNS, social comparison, self-esteem, and depressive tendencies in the light of self-regulation. Behaviour & Information Technology, 38(6), 578–591. https://doi.org/10.1080/0144929X.2018.1545049.
Bright, L. F., Kleiser, S. B., & Grau, S. L. (2015). Too much Facebook? An exploratory examination of social media fatigue. Computers in Human Behavior, 44, 148–155. https://doi.org/10.1016/j.chb.2014.11.048.
Cao, X., & Sun, J. (2018). Exploring the effect of overload on the discontinuous intention of social media users: An S-O-R perspective. Computers in Human Behavior, 81, 10–18. https://doi.org/10.1016/j.chb.2017.11.035.
Cheung, R., & Vogel, D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Computers & Education, 63(2), 160–175. https://doi.org/10.1016/j.compedu.2012.12.003.
Choi, S. B., & Lim, M. S. (2016). Effects of social and technology overload on psychological well-being in young south Korean adults: The mediatory role of social network service addiction. Computers in Human Behavior, 61, 245–254. https://doi.org/10.1016/j.chb.2016.03.032.
China Internet Network Information Center. (2018). The 43nd China statistical report on internet development. <http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/201902/P020190318523029756345.pdf> Retrieved at 10.04.2019.
Cramer, E. M., Song, H., & Drent, A. M. (2016). Social comparison on Facebook: Motivation, affective consequences, self-esteem, and Facebook fatigue. Computers in Human Behavior, 64, 739–746. https://doi.org/10.1016/j.chb.2016.07.049.
Delegge, A., & Wangler, H. (2017). Is this the end for Facebook? A mathematical analysis. Applied Mathematics and Computation, 305, 364–380. https://doi.org/10.1016/j.amc.2017.02.014.
Dhir, A., Kaur, P., Chen, S. F., & Pallesen, S. (2019). Antecedents and consequences of social media fatigue. International Journal of Information Management, 48, 193–202. https://doi.org/10.1016/j.ijinfomgt.2019.05.021.
Dhir, A., Yossatorn, Y., Kaur, P., & Chen, S. (2018). Online social media fatigue and psychological wellbeing - a study of compulsive use, fear of missing out, fatigue, anxiety and depression. International Journal of Information Management, 40, 141–152. https://doi.org/10.1016/j.ijinfomgt.2018.01.012.
Facebook. (2018). Our mission 〈http://newsroom.fb.com/company-info/〉 Retrieved at 10.04.2019.
Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7(7), 117–140. https://doi.org/10.1177/001872675400700202.
Fox, J., & Vendemia, M. A. (2016). Selective self-presentation and social comparison through photographs on social networking sites. Cyberpsychology, Behavior and Social Networking, 19(10), 593–600. https://doi.org/10.1089/cyber.2016.0248.
Frison, E., & Eggermont, S. (2016). "Harder, better, faster, stronger": Negative comparison on Facebook and adolescents' life satisfaction are reciprocally related. Cyberpsychology, Behavior and Social Networking, 19(3), 158–164. https://doi.org/10.1089/cyber.2015.0296.
Grace, D., Ross, M., & Shao, W. (2015). Examining the relationship between social media characteristics and psychological dispositions. European Journal of Marketing, 49(9), 1366–1390. https://doi.org/10.1108/EJM-06-2014-0347.
Guo, Y. Y., Lu, Z. Z., Kuang, H. B., & Wang, C. Y. (2020). Information avoidance behavior on social network sites: Information irrelevance, overload, and the moderating role of time pressure. International Journal of Information Management, 52, 102067. https://doi.org/10.1016/j.ijinfomgt.2020.102067.
Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Journal of Educational Measurement, 51(3), 335–337. https://doi.org/10.1111/jedm.12050.
Kleemans, M., Daalmans, S., Carbaat, I., & Anschütz, D. (2018). Picture perfect: The direct effect of manipulated Instagram photos on body image in adolescent girls. Media Psychology, 21(1), 93–110. https://doi.org/10.1080/15213269.2016.1257392.
Kim, Y. G. (2014). Application of the stimuli-organism-response (S-O-R) framework to online shopping behavior. Journal of Internet Commerce, 13(3), 159–176. https://doi.org/10.1080/15332861.2014.944437.
Kim, H. J., & Rha, J. Y. (2016). Application of the stimulus-organism-response model on consumer’s continued intention to use mobile payment services: Multiple mediation model. Journal of Korean Home Management Association, 34(4), 139–156. https://doi.org/10.7466/JKHMA.2016.34.4.139.
Lee, S. Y. (2014). How do people compare themselves with others on social network sites? The case of Facebook. Computers in Human Behavior, 32, 253–260. https://doi.org/10.1016/j.chb.2013.12.009.
Lee, A. R., Son, S. M., & Kim, K. K. (2016). Information and communication technology overload and social networking service fatigue: A stress perspective. Computers in Human Behavior, 55, 51–61. https://doi.org/10.1016/j.chb.2015.08.011.
Lim, M., & Yang, Y. (2015). Effects of users’ envy and shame on social comparison that occurs on social network services. Computers in Human Behavior, 51, 300–311. https://doi.org/10.1016/j.chb.2015.05.013.
Lin, K. M. (2015). Predicting Asian undergraduates’ intention to continue using social network services from negative perspectives. Behaviour & Information Technology, 34(9), 882–892. https://doi.org/10.1080/0144929X.2015.1027736.
Luqman, A., Cao, X., Ali, A., Masood, A., & Yu, L. (2017). Empirical investigation of Facebook discontinues usage intentions based on SOR paradigm. Computers in Human Behavior, 70, 544–555. https://doi.org/10.1016/j.chb.2017.01.020.
Maier, C., Laumer, S., Eckhardt, A., & Weitzel, T. (2015). Giving too much social support: Social overload on social networking sites. European Journal of Information Systems, 24(5), 447–464. https://doi.org/10.1057/ejis.2014.3.
Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. The MIT Press.
Nadkarni, A., & Hofmann, S. G. (2012). Why do people use Facebook? Personality and Individual Differences, 52(3), 243–249. https://doi.org/10.1016/j.paid.2011.11.007.
Nisara, T. M., Prabhakarb, G., Ilavarasan, V., & Baabdullah, A. M. (2019). Facebook usage and mental health: An empirical study of role of non-directional social comparisons in the UK. International Journal of Information Management, 30(5), 388–398. https://doi.org/10.1016/j.ijinfomgt.2019.01.017.
Niu, G. F., Luo, Y. J., Sun, X. J., Zhou, Z. K., Yu, F., Yang, S. L., & Zhao, L. (2018). Qzone use and depression among Chinese adolescents: A moderated mediation model. Journal of Affective Disorders, 231, 58–62. https://doi.org/10.1016/j.jad.2018.01.013.
Wu, L., Niu, G., Ni, X., Shao, X. Y., & Luo, Y. J. (2019). Body image flexibility moderates the association between photo-related activities on WeChat moments and the body dissatisfaction of female adolescents in China. Current Psychology. https://doi.org/10.1007/s12144-019-00553-x.
Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: An empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6–30. https://doi.org/10.1108/JEIM-04-2012-0011.
Song, H., Cramer, E. M., & Park, N. (2019). Cultural differences in social comparison on facebook. Behaviour & Information Technology, 38(1-3), 172–183. https://doi.org/10.1080/0144929X.2018.1519037.
Strudwick, G. (2015). Predicting nurses' use of healthcare technology using the technology acceptance model: An integrative review. Computers informatics nursing, 33(5), 189–198. https://doi.org/10.1097/CIN.0000000000000142.
Turner, M., Kitchenham, B., Brereton, P., Charters, S., & Budgen, D. (2010). Does the technology acceptance model predict actual use? A systematic literature review. Information & Software Technology, 52(5), 463–479. https://doi.org/10.1016/j.infsof.2009.11.005.
Turel, O. (2015). Quitting the use of a habituated hedonic information system: A theoretical model and empirical examination of Facebook users. European Journal of Information Systems, 24(4), 431–446. https://doi.org/10.1057/ejis.2014.19.
Wang, Y. J., Minor, M. S., & Wei, J. (2011). Aesthetics and the online shopping environment: Understanding consumer responses. Journal of Retailing, 87(1), 46–58. https://doi.org/10.1016/j.jretai.2010.09.002.
Wei, H. L., Lin, K. Y., Lu, H. P., & Chuang, H. (2014). Understanding the intentions of users to ‘stick’ to social networking sites: A case study in Taiwan. Behaviour & Information Technology, 34(2), 151–162. https://doi.org/10.1080/0144929X.2014.928745.
Zhang, S., Zhao, L., Lu, Y., & Yang, J. (2016). Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services. Information & Management, 53(7), 904–914. https://doi.org/10.1016/j.im.2016.03.006.
Acknowledgements
This work was supported by the MOE (Ministry of Education in China) Project of Humanities and Social Sciences (19YJC190019), the National Natural Science Foundation of China (31872781), the Soft Science Research Project of Shaanxi Province (2020KRM047), the Fundamental Research Funds for the Central Universities (CCNU20QN023), and the Research Program Funds of the Collaborative Innovation Center of Assessment toward Basic Education Quality (2020-04-013-BZPK01; 2020-04-012-BZPK01). No competing interests existed.
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Niu, G., Yao, L., Tian, Y. et al. Information overload and the intention to reduce SNS usage: the mediating roles of negative social comparison and fatigue. Curr Psychol 41, 5212–5219 (2022). https://doi.org/10.1007/s12144-020-01043-1
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DOI: https://doi.org/10.1007/s12144-020-01043-1