MEKANISME KELEBIHAN BEBAN MEDIA SOSIAL TERHADAP KELELAHAN MEDIA SOSIAL, EFIKASI DIRI, KESEHATAN DAN KECEMASAN
DOI:
https://doi.org/10.26486/9wb3db27Abstract
Penelitian ini mengkaji dampak kelebihan penggunaan media sosial terhadap kesehatan mental, khususnya kecemasan dan efikasi diri kesehatan. Sampel penelitian terdiri dari 125 pengguna media sosial dari kalangan mahasiswa, pelajar, dan masyarakat umum. Penelitian ini menggunakan pendekatan kuantitatif dengan kerangka Stressor–Strain–Outcome (SSO). Instrumen penelitian berupa kuesioner dengan skala Likert 4 poin yang mengukur enam variabel utama yaitu information overload, communication overload, social overload, social media fatigue, anxiety, dan health self-efficacy. Analisis data dilakukan dengan metode Partial Least Squares–Structural Equation Modeling (PLS-SEM) menggunakan perangkat lunak SmartPLS 4 untuk menguji validitas, reliabilitas, serta hubungan antarvariabel. Hasil penelitian menunjukkan bahwa information overload, communication overload, dan social overload berpengaruh positif signifikan terhadap social media fatigue. Selanjutnya, social media fatigue berdampak pada peningkatan tingkat kecemasan dan penurunan efikasi diri kesehatan. Selain itu, ditemukan bahwa social media fatigue memediasi pengaruh information overload terhadap kecemasan, serta memediasi pengaruh information overload, communication overload, dan social overload terhadap efikasi diri kesehatan. Studi ini memberikan wawasan penting mengenai mekanisme psikologis di balik pengalaman kelebihan media sosial dan implikasinya terhadap kesejahteraan mental.
Kata Kunci: Anxiety, Communication overload, Health self-efficacy, Information overload, Social overload, Social media fatigue
References
Alfasi, Y. (2022). Attachment style and social media fatigue: The role of usage-related stressors, self-esteem, and self-concept clarity. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 16(2). https://doi.org/10.5817/CP2022-2-2
Asmundson, G. J. G., & Taylor, S. (2020). How health anxiety influences responses to viral outbreaks like COVID-19: What all decision-makers, health authorities, and health care professionals need to know. Journal of Anxiety Disorders, 71, 102211.
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215.
Bawden, D., & Robinson, L. (2020). Information Overload: An Introduction. In D. Bawden & L. Robinson, Oxford Research Encyclopedia of Politics. Oxford University Press. https://doi.org/10.1093/acrefore/9780190228637.013.1360
Brooks, A. W., & Schweitzer, M. E. (2011). Can Nervous Nelly negotiate? How anxiety causes negotiators to make low first offers, exit early, and earn less profit. Organizational Behavior and Human Decision Processes, 115(1), 43–54.
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
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.
Febreza, F., & Junaidi, J. (2022). The Fenomena “Digital Fatigue” Pada Mahasiswa Jurusan Sosiologi Fakultas Ilmu Sosial Universitas Negeri Padang. Naradidik: Journal of Education and Pedagogy, 1(3), 315–326. https://doi.org/10.24036/nara.v1i3.73
Gloria. (2022). Hasil Survei I-NAMHS: Satu dari Tiga Remaja Indonesia Memiliki Masalah Kesehatan Mental. https://ugm.ac.id/id/berita/23086-hasil-survei-i-namhs-satu-dari-tiga-remaja-indonesia-memiliki-masalah-kesehatan-mental/
Harper, C. A., Satchell, L. P., Fido, D., & Latzman, R. D. (2021). Functional fear predicts public health compliance in the COVID-19 pandemic. International Journal of Mental Health and Addiction, 19(5), 1875–1888.
Ji, X. (2023). The Negative Psychological Effects of Information Overload. BCP Education & Psychology, 9, 250–255. https://doi.org/10.54691/bcpep.v9i.4692
Karr-Wisniewski, P., & Lu, Y. (2010). When more is too much: Operationalizing technology overload and exploring its impact on knowledge worker productivity. Computers in Human Behavior, 26(5), 1061–1072.
Koeske, G. F., & Koeske, R. D. (1993). A preliminary test of a stress-strain-outcome model for reconceptualizing the burnout phenomenon. Journal of Social Service Research, 17(3–4), 107–135.
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.
Li, K., Jiang, S., Yan, X., & Li, J. (2024a). 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
Li, K., Jiang, S., Yan, X., & Li, J. (2024b). 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
Li, K., Jiang, S., Yan, X., & Li, J. (2024c). 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
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.
Newby, K., Teah, G., Cooke, R., Li, X., Brown, K., Salisbury-Finch, B., Kwah, K., Bartle, N., Curtis, K., Fulton, E., Parsons, J., Dusseldorp, E., & Williams, S. L. (2021). Do automated digital health behaviour change interventions have a positive effect on self-efficacy? A systematic review and meta-analysis. Health Psychology Review, 15(1), 140–158. https://doi.org/10.1080/17437199.2019.1705873
Pang, H. (2021). How compulsive WeChat use and information overload affect social media fatigue and well-being during the COVID-19 pandemic? A stressor-strain-outcome perspective. Telematics and Informatics, 64, 101690. https://doi.org/10.1016/j.tele.2021.101690
Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers, 36(4), 717–731. https://doi.org/10.3758/BF03206553
Qin, C., Li, Y., Wang, T., Zhao, J., Tong, L., Yang, J., & Liu, Y. (2024a). Too much social media? Unveiling the effects of determinants in social media fatigue. Frontiers in Psychology, 15, 1277846. https://doi.org/10.3389/fpsyg.2024.1277846
Qin, C., Li, Y., Wang, T., Zhao, J., Tong, L., Yang, J., & Liu, Y. (2024b). Too much social media? Unveiling the effects of determinants in social media fatigue. Frontiers in Psychology, 15, 1277846. https://doi.org/10.3389/fpsyg.2024.1277846
Ravindran, T., Kuan, A. C. Y., & Lian, D. G. H. (2014). Antecedents and effects of social network fatigue. Journal of the Association for Information Science and Technology, 65(11), 2306–2320.
Solci, C. C., Reisen, V. A., & Rodrigues, P. C. (2023). Robust local bootstrap for weakly stationary time series in the presence of additive outliers. Stochastic Environmental Research and Risk Assessment, 37(8), 2977–2992. https://doi.org/10.1007/s00477-023-02430-3
Soroya, S. H., Farooq, A., Mahmood, K., Isoaho, J., & Zara, S. E. (2021). From information seeking to information avoidance: Understanding the health information behavior during a global health crisis. Information Processing & Management, 58(2), 102440.
Stephens, K. K., Mandhana, D. M., Kim, J. J., Li, X., Glowacki, E. M., & Cruz, I. (2017). Reconceptualizing Communication Overload and Building a Theoretical Foundation: Communication Overload. Communication Theory, 27(3), 269–289. https://doi.org/10.1111/comt.12116
Vannucci, A., Flannery, K. M., & Ohannessian, C. M. (2017). Social media use and anxiety in emerging adults. Journal of Affective Disorders, 207, 163–166.
Xie, T., Wang, Y., & Cheng, Y. (2023). Social Media Overload as a Predictor of Depressive Symptoms Under the COVID-19 Infodemic: A Cross-Sectional Survey From Chinese University Students. International Journal of Public Health, 68, 1606404. https://doi.org/10.3389/ijph.2023.1606404
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.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Pajri Ramadhan, Yogi Pratama
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who publish with Dinamika Psikologis: Jurnal Ilmiah Psikologis agree to the following terms:
Authors retain copyright and grant the Insight right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material) the work for any purpose, even commercially with an acknowledgement of the work's authorship and initial publication in Insight. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in Insight.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
