The paradox of switching social medias: A mixed-method study of students' academic performance and social fatigue

Awang Dharmawan, Tatak Setiadi, Ihsan Karli

Abstract


This study investigates the relationships among social media switching behavior, social fatigue, and academic performance among Generation Z university students. Despite the pervasive use of social media among this demographic, there is a lack of understanding of how social media switching affects academic outcomes and well-being. To address this research gap, a mixed-methods approach with a cross-sectional design was employed, analyzing data from a survey of 200 first-year Communication Science students in the State University of Surabaya (Unesa), Indonesia. The results reveal a statistically significant positive correlation between frequent social media account switching and higher academic performance, but no significant relationships between social media switching and social fatigue, or between social fatigue and academic performance. By understanding these collectivist dynamics between social media usage, academic performance, and social fatigue, this will provide valuable insights for educators and policymakers to develop strategies that promote a healthier balance between digital engagement and academic responsibilities.


Keywords


academic achievement; digital literacy; education quality; social fatigue; social media

Full Text:

PDF

References


Alhabash, S., & Ma, M. (2017). A tale of four platforms: Motivations and uses of Facebook, Twitter, Instagram, and Snapchat among college students? Social Media + Society, 3(1). https://doi.org/10.1177/2056305117691544

Baj-Rogowska, A. (2023). Antecedents and outcomes of social media fatigue. Information Technology & People, 36(8), 226–254. https://doi.org/10.1108/ITP-03-2022-0207

Bali, A. O., Jabar, S., Jalal, H., & Sofi-Karim, M. (2022). Iraqi media entrepreneurs across social media: Factors and challenges. Journal of Digital Media & Policy, 13(3), 333–350. https://doi.org/10.1386/jdmp_00033_1

Becker, K. L. (2022). We want connection and we do not mean wi-fi: Examining the impacts of Covid-19 on Gen Z’s work and employment outcomes. Management Research Review, 45(5), 684–699. https://doi.org/10.1108/MRR-01-2021-0052

Boateng, R., & Amankwaa, A. (2016). The impact of social media on student academic life in higher education. Global Journal of Human Social Science, 16(4), 1–8.

Benthaus, J., Risius, M., & Beck, R. (2016). Social media management strategies for organizational impression management and their effect on public perception. The Journal of Strategic Information Systems, 25(2), 127–139. https://doi.org/10.1016/j.jsis.2015.12.001

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

Dhir, A., Kaur, P., Chen, S., & 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

Duffett, R. G. (2017). Influence of social media marketing communications on young consumers’ attitudes. Young Consumers, 18(1), 19–39. https://doi.org/10.1108/YC-07-2016-00622

Gillespie, T. (2015). Platforms intervene. Social Media & Society, 1–2. https://doi.org/10.1177/2056305115580479

Greenhow, C. & Lewin, C. (2016). Social media and education: Reconceptualizing the boundaries of formal and informal learning. Learning, Media and Technology, 41(1), 6–30. https://doi.org/10.1080/17439884.2015.1064954

Gutierrez-Aguilar, O., Neira-Gómez, B., Romero-Rivera, F., Duche-Pérez, A.B. (2024). Relationship Between Fatigue in University Students and the Consumption of Videos on Social Networks. In: Rocha, Á., Ferrás, C., Hochstetter Diez, J., Diéguez Rebolledo, M. (eds). Information technology and systems. ICITS 2024. Lecture notes in networks and systems, Vol. 933. Springer, Cham. https://doi.org/10.1007/978-3-031-54256-5_44

Jia, L., & Liang, F. (2021). The globalization of TikTok: Strategies, governance, and geopolitics. Journal of Digital Media & Policy, 12 (Platform Governance: Power, Diversity and Accountability), 273–292. https://doi.org/10.1386/jdmp_00062_1

Johnson, R. B., Onwuegbuzie, A. J., & Turner, L. A. (2007). Toward a definition of mixed methods research. Journal of Mixed Methods Research, 1(2), 112–133. https://doi.org/10.1177/1558689806298224

Kalogeropoulos, A., Negredo, S., Picone, I., & Nielsen, R. K. (2017). Who shares and comments on news?: A crossnational comparative analysis of online and social media participation. Social Media + Society, 3(4). https://doi.org/10.1177/2056305117735754

Kang, I. (2022). A study on switching behavior of social media: From a dynamic perspective. International Trade, Politics and Development, 6(3), 107–120. https://doi.org/10.1108/ITPD-08-2022-0015

Kümpel, A. S., Karnowski, V., & Keyling, T. (2015). News sharing in social media: A review of current research on news sharing users, content, and networks. Social Media + Society, 1(2). https://doi.org/10.1177/2056305115610141

Li, K., Jiang, S., Yan, X., & Li, J. (2024). Mechanism study of social media overload on health self-efficacy and anxiety. Heliyon, 10(1), e23326. https://doi.org/10.1016/j.heliyon.2023.e23326

MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G., & Sheets, V. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychological Methods, 83–104.

Malik, A., Dhir, A., Kaur, P., & Johri, A. (2021). Correlates of social media fatigue and academic performance decrement: A large cross-sectional study. Information Technology & People, 34(2), 557–580. https://doi.org/10.1108/ITP-06-2019-0289

Marwick, A., & boyd, danah. (2011). To see and be seen: Celebrity practice on Twitter. Convergence, 17(2), 139–158. https://doi.org/10.1177/1354856510394539

Miller, V. (2017). Phatic culture and the status quo: Reconsidering the purpose of social media activism. Convergence, 23(3), 251–269. https://doi.org/10.1177/1354856515592512

Nguyen, M. H., Hargittai, E., Fuchs, J., Djukaric, T., & Hunsaker, A (2021). Trading spaces: How and why older adults disconnect from and switch between digital media. The Information Society, 37(5), 299–311. https://doi.org/10.1080/01972243.2021.1960659

Ou, M., Zheng, H., Kim, H. K., & Chen, X. (2023). A meta-analysis of social media fatigue: Drivers and a major consequence. Computers in Human Behavior, 140, 107597. https://doi.org/10.1016/j.chb.2022.107597

Pradhan, S. (2022). Social network fatigue: Revisiting the antecedents and consequences. Online Information Review, 46(6), 115–1131. https://doi.org/10.1108/OIR-10-2020-0474

Qiao, F. (2019). Conceptualizing interactivity on social media and exploring the effects of interactivity on consumers’ engagement with online social-interactions. Online Journal of Communication and Media Technologies, 9(3), e201913. https://doi.org/10.29333/ojcmt/5781

Sheng, N., Yang, C., Han, L., & Jou, M. (2023). Too much overload and concerns: Antecedents of social media fatigue and the mediating role of emotional exhaustion. Computers in Human Behavior, 139, 107500. https://doi.org/10.1016/j.chb.2022.107500

Singh, S., Gupta, P. K., Jasial, S. S., & Mahajan, A. (2023). Correlates of compulsive use of social media and academic performance decrement: A stress-strain-outcome approach. J. Content Community Commun, 17, 131–146. https://doi.org/10.31620/JCCC.06.23/10

Sobaih, A. E. E., Moustafa, M. A., Ghandforoush, P., & Khan, M. (2016). To use or not to use? Social media in higher education in developing countries. Computers in Human Behavior, 58, 296–305. https://doi.org/10.1016/j.chb.2016.01.002

Solidjonov D.Z. (2021). The impact of social media on education: Advantage and disadvantage. Экономика и социум, (3–1 (82)), 284–288.

Stark, L., & Crawford, K. (2015). The conservatism of emoji: Work, affect, and communication. Social Media + Society, 1(2). https://doi.org/10.1177/2056305115604853

Sulastri, A. (2010). Re-thinking individualism and collectivism from indonesian perspective: An evaluation of theoretical assumption. Psikodimensia, 9(1), 13–27.

Sunil S, Sharma MK, Amudhan S, Anand N, John N. (2022). Social media fatigue: Causes and concerns. International Journal of Social Psychiatry, 68(3), 686–692. https://doi.org/10.1177/00207640221074800

Świątek, A. H., Szcześniak, M., Aleksandrowicz, B., Zaczkowska, D., Wawer, W., & Ścisłowska, M. (2023). Problematic smartphone use and social media fatigue: The mediating role of self-control. Psychology Research and Behavior Management, 16, 211–222. https://doi.org/10.2147/PRBM.S389806

Teddlie, C., & Yu, F. (2007). Mixed methods sampling. Journal of Mixed Methods Research, 1(1), 77–100. https://doi.org/10.1177/2345678906292430

Trang, N. M., McKenna, B., Cai, W., & Morrison, A. M. (2023). I do not want to be perfect: Investigating generation Z students’ personal brands on social media for job seeking. Information Technology & People, 1–22.

Whelan, E., Najmul Islam, A.K.M. and Brooks, S. (2020). Is boredom proneness related to social media overload and fatigue? A stress–strain outcome approach. Internet Research, 30(3), 869–887. https://doi.org/10.1108/INTR-03-2019-0112

Xiao, L., Pan, T., Mou, J., & Huang, L. (2022). Understanding determinants of social networking service fatigue: An interpretive structural modeling approach. Information Technology & People, 35(1), 46–66. https://doi.org/10.1108/ITP-04-2020-0169

Yin, C., Zhou, Y., He, P., & Tu, M. (2021). Research on the influencing factors of the switching behavior of Chinese social media users: QQ transfer to WeChat. Library Hi Tech, 1–17.

Zepke, N., & Leach, L. (2010). Improving student engagement: Ten proposals for action. Active Learning in Higher Education, 11(3), 167–177. https://doi.org/10.1177/1469787410379680

Zhang, X., Ding, X., & Ma, L. (2022). The influences of information overload and social overload on intention to switch in social media. Behaviour & Information Technology, 41(2), 228–241. https://doi.org/10.1080/0144929X.2020.1800820

Zheng, H., & Ling, R. (2021). Drivers of social media fatigue: A systematic review. Telematics and Informatics, 64, 101696. https://doi.org/10.1016/j.tele.2021.101696




DOI: https://doi.org/10.21107/sml.v7i2.26754

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Awang Dharmawan, Tatak Setiadi, Ihsan Karli

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

--------------------------------------------------------------------------------------------------------------------------------------------------------

Simulacra has been indexed in these prominent indexing services:

Sinta 2DOAJIndex CopernicusEBSCOGoogle ScholarCrossrefDimensionsWorldcatHarvard LibraryOxford LibraryUniversiteit LeidenDRJIScilit MDPIPKP IndexROADBASEMorarefColumbia LibrarySheffield LibraryCORE

 

 Simulacra is licensed under a Creative Commons BY-NC-SA and published by the Center for Sociological Studies and Community Development, Department of Sociology, Universitas Trunojoyo Madura, Indonesia.