Peran Mediasi Network Heterogeneity pada Hubungan Online Subjective Well-Being dan Social Media Fatigue pada Pengguna Media Sosial
DOI:
https://doi.org/10.14421/jpsi.v11i1.2586Keywords:
Online Subjective Well-Being, Network Heterogeneity, Self-disclosure, Social Comparison, Social Media FatigueAbstract
The use of social media has many implications for individuals. One of the impacts that arises is users’ Online Subjective Well-Being (OSWB). This study aims to explore the relationship between OSWB and Social Media Fatigue (SMF) mediated by network heterogeneity; privacy concern, social comparison and selfdisclosure. This correlational research design used early adult respondents of a range of ages 20 - 30 years (N = 337) which was taken using non-probability quota sampling. Data was analyzed using SPSS Process (Model 4) by Hayes. The results showed that OSWB was able to predict SMF directly. The factors which succeed in mediating OSWB and SMF were self-disclosure, while privacy concerns and social comparison were unable to act as mediator. However, all three mediating variables have a positive correlation with SMF. Individuals with high OSWB are predicted to have lower SMF. In addition, the role of self-disclosure greatly determines the occurrence of SMF.
Penggunaan media sosial membawa banyak implikasi bagi individu. Salah satu dampak yang muncul adalah Online Subjective Well-Being (OSWB) pengguna. Penelitian ini bertujuan untuk mengeksplorasi hubungan antara OSWB dan Social Media Fatigue (SMF) yang dimediasi oleh network heterogeneity; privacy concren, social comparison dan self-disclosure. Penelitian koreasional ini melibatkan responden dewasa awal dengan rentang usia 20 - 30 tahun (N = 337) dengan pengambilan sampling menggunakan non probability quota sampling. Analisis data melalui SPSS Process (Model 4) oleh Hayes. Hasil penelitian menujukkan OSWB mampu memprediksi SMF secara langsung. Adapun faktor yang berhasil menjadi mediasi adalah self-disclosure sedangkan privacy concerns dan social comparison tidak mampu menjadi mediator. Namun demikian, ketiga variabel mediasi berkorelasi positif dengan SMF. Individu dengan OSWB yang tinggi diprediksi memiliki SMF yang lebih rendah. Selain itu, peran self-disclosure dalam diri sangat menentukan proses terjadinya SMF.
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References
Alashoor, T., Han, S., & Joseph, R. (2017). Familiarity with Big Data, Privacy Concerns, and Self-disclosure Accuracy in Social Networking Websites: An APCO Model. Communications of the Association for Information Systems, 41(1). https://doi.org/10.17705/1CAIS.04104
Azwar, S. (2018). Metode Penelitian Psikologi. Pustaka Pelajar.
Bano, S., Cisheng, W., Khan, A. N., & Khan, N. A. (2019). WhatsApp use and student’s psychological well-being: Role of social capital and social integration. Children and Youth Services Review, 103, 200–208. https://doi.org/10.1016/j.childyouth.2019.06.002
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., Khan, A. N., Zaigham, G. H. K., & Khan, N. A. (2019). The Stimulators of Social Media Fatigue Among Students: Role of Moral Disengagement. Journal of Educational Computing Research, 57(5), 1083–1107. https://doi.org/10.1177/0735633118781907
Chai, H.-Y., Niu, G.-F., Lian, S.-L., Chu, X.-W., Liu, S., & Sun, X.-J. (2019). Why social network site use fails to promote well-being? The roles of social overload and fear of missing out. Computers in Human Behavior, 100, 85–92. https://doi.org/10.1016/j.chb.2019.05.005
Chang, C.-M., & Hsu, M.-H. (2016). Understanding the determinants of users’ subjective well-being in social networking sites: An integration of social capital theory and social presence theory. Behaviour & Information Technology, 35(9), 720–729. https://doi.org/10.1080/0144929X.2016.1141321
Cheung, C., Lee, Z. W. Y., & Chan, T. K. H. (2015). Self-disclosure in social networking sites: The role of perceived cost, perceived benefits and social influence. Internet Research, 25(2), 279–299. https://doi.org/10.1108/IntR-09-2013-0192
Chiu, C.-M., Cheng, H.-L., Huang, H.-Y., & Chen, C.-F. (2013). Exploring individuals’ subjective well-being and loyalty towards social network sites from the perspective of network externalities: The Facebook case. International Journal of Information Management, 33(3), 539–552.
Cho, H., Li, P., & Goh, Z. H. (2020). Privacy Risks, Emotions, and Social Media: A Coping Model of Online Privacy. ACM Transactions on Computer-Human Interaction, 27(6), 40:1-40:28. https://doi.org/10.1145/3412367
Choi, H., Park, J., & Jung, Y. (2018). The role of privacy fatigue in online privacy behavior. Computers in Human Behavior, 81, 42–51. https://doi.org/10.1016/j.chb.2017.12.001
Choi, T. R., & Sung, Y. (2018). Instagram versus Snapchat: Self-expression and privacy concern on social media. Telematics and Informatics, 35(8), 2289–2298. https://doi.org/10.1016/j.tele.2018.09.009
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
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
Dhir, A., Talwar, S., Kaur, P., Budhiraja, S., & Islam, N. (2021). The dark side of social media: Stalking, online self-disclosure and problematic sleep. International Journal of Consumer Studies, 45(6), 1373–1391. https://doi.org/10.1111/ijcs.12659
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
Diener, E., Oishi, S., & Lucas, R. E. (2015). National accounts of subjective well-being. American Psychologist, 70(3), 234–242. https://doi.org/10.1037/a0038899
Fan, X., Deng, N., Dong, X., Lin, Y., & Wang, J. (2019). Do others’ self-presentation on social media influence individual’s subjective well-being? A moderated mediation model. Telematics and Informatics, 41, 86–102. https://doi.org/10.1016/j.tele.2019.04.001
Fan, X., Jiang, X., Deng, N., Dong, X., & Lin, Y. (2020). Does role conflict influence discontinuous usage intentions? Privacy concerns, social media fatigue and self-esteem. Information Technology & People, 34(3), 1152–1174. https://doi.org/10.1108/ITP-08-2019-0416
Festinger, L. (1954). A Theory of Social Comparison Processes. Human Relations, 7(2), 117–140. https://doi.org/10.1177/001872675400700202
Gerson, J., Plagnol, A. C., & Corr, P. J. (2016). Subjective well-being and social media use: Do personality traits moderate the impact of social comparison on Facebook? Computers in Human Behavior, 63, 813–822. https://doi.org/10.1016/j.chb.2016.06.023
Huang, H.-Y. (2016). Examining the beneficial effects of individual’s self-disclosure on the social network site. Computers in Human Behavior, 57, 122–132. https://doi.org/10.1016/j.chb.2015.12.030
James, C., Davis, K., Charmaraman, L., Konrath, S., Slovak, P., Weinstein, E., & Yarosh, L. (2017). Digital Life and Youth Well-being, Social Connectedness, Empathy, and Narcissism. Pediatrics, 140(Suppl 2), S71–S75. https://doi.org/10.1542/peds.2016-1758F
Jang, K., Park, N., & Song, H. (2016). Social comparison on Facebook: Its antecedents and psychological outcomes. Computers in Human Behavior, 62, 147–154. https://doi.org/10.1016/j.chb.2016.03.082
Jeong, M., Zo, H., Lee, C. H., & Ceran, Y. (2019). Feeling displeasure from online social media postings: A study using cognitive dissonance theory. Computers in Human Behavior, 97, 231–240. https://doi.org/10.1016/j.chb.2019.02.021
Kaur, P., Dhir, A., Alkhalifa, A. K., & Tandon, A. (2021). Social media platforms and sleep problems: A systematic literature review, synthesis and framework for future research. Internet Research, 31(4), 1121–1152. https://doi.org/10.1108/INTR-04-2020-0187
Kaur, P., Dhir, A., Tandon, A., Alzeiby, E. A., & Abohassan, A. A. (2021). A systematic literature review on cyberstalking. An analysis of past achievements and future promises. Technological Forecasting and Social Change, 163, 120426. https://doi.org/10.1016/j.techfore.2020.120426
Keles, B., McCrae, N., & Grealish, A. (2020). A systematic review: The influence of social media on depression, anxiety and psychological distress in adolescents. International Journal of Adolescence and Youth, 25(1), 79–93. https://doi.org/10.1080/02673843.2019.1590851
Kim, B., & Kim, Y. (2017). College students’ social media use and communication network heterogeneity: Implications for social capital and subjective well-being. Computers in Human Behavior, 73, 620–628. https://doi.org/10.1016/j.chb.2017.03.033
Kim, J. Y., Chung, N., & Ahn, K. M. (2014). Why people use social networking services in Korea: The mediating role of self-disclosure on subjective well-being. Information Development, 30(3), 276–287. https://doi.org/10.1177/0266666913489894
Koltay, T. (2017). The bright side of information: Ways of mitigating information overload. Journal of Documentation, 73(4), 767–775. https://doi.org/10.1108/JD-09-2016-0107
Krämer, N. C., & Schäwel, J. (2020). Mastering the challenge of balancing self-disclosure and privacy in social media. Current Opinion in Psychology, 31, 67–71. https://doi.org/10.1016/j.copsyc.2019.08.003
Krasnova, H., Kolesnikova, E., & Guenther, O. (2009). “It Won’t Happen To Me!”: Self-Disclosure in Online Social Networks. AMCIS 2009 Proceedings. Diambil dari https://aisel.aisnet.org/amcis2009/343
Lang, A. (2000). The Limited Capacity Model of Mediated Message Processing. Journal of Communication, 50(1), 46–70. https://doi.org/10.1111/j.1460-2466.2000.tb02833.x
Latif, K., Weng, Q., Pitafi, A. H., Ali, A., Siddiqui, A. W., Malik, M. Y., & Latif, Z. (2021). Social comparison as a double-edged sword on social media: The role of envy type and online social identity. Telematics and Informatics, 56, 101470. https://doi.org/10.1016/j.tele.2020.101470
Lee, E., Lee, K.-Y., Sung, Y., & Song, Y.-A. (2019). #DeleteFacebook: Antecedents of Facebook Fatigue. Cyberpsychology, Behavior and Social Networking, 22(6), 417–422. https://doi.org/10.1089/cyber.2018.0200
Li, H., Luo, X. (Robert), Zhang, J., & Xu, H. (2017). Resolving the privacy paradox: Toward a cognitive appraisal and emotion approach to online privacy behaviors. Information & Management, 54(8), 1012–1022. https://doi.org/10.1016/j.im.2017.02.005
Luo, M., & Hancock, J. T. (2020). Self-disclosure and social media: Motivations, mechanisms and psychological well-being. Current Opinion in Psychology, 31, 110–115. https://doi.org/10.1016/j.copsyc.2019.08.019
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
Malik, A., Dhir, A., Kaur, P., & Johri, A. (2020). 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
Mei, S., Yau, Y. H. C., Chai, J., Guo, J., & Potenza, M. N. (2016). Problematic Internet use, well-being, self-esteem and self-control: Data from a high-school survey in China. Addictive Behaviors, 61, 74–79. https://doi.org/10.1016/j.addbeh.2016.05.009
Munzel, A., Meyer-Waarden, L., & Galan, J.-P. (2018). The social side of sustainability: Well-being as a driver and an outcome of social relationships and interactions on social networking sites. Technological Forecasting and Social Change, 130, 14–27. https://doi.org/10.1016/j.techfore.2017.06.031
Nabity-Grover, T., Cheung, C. M. K., & Thatcher, J. B. (2020). Inside out and outside in: How the COVID-19 pandemic affects self-disclosure on social media. International Journal of Information Management, 55, 102188. https://doi.org/10.1016/j.ijinfomgt.2020.102188
Oberst, U., Wegmann, E., Stodt, B., Brand, M., & Chamarro, A. (2017). Negative consequences from heavy social networking in adolescents: The mediating role of fear of missing out. Journal of Adolescence, 55, 51–60. https://doi.org/10.1016/j.adolescence.2016.12.008
Park, S. Y., & Baek, Y. M. (2018). Two faces of social comparison on Facebook: The interplay between social comparison orientation, emotions, and psychological well-being. Computers in Human Behavior, 79, 83–93. https://doi.org/10.1016/j.chb.2017.10.028
Piwek, L., & Joinson, A. (2016). “What do they snapchat about?” Patterns of use in time-limited instant messaging service. Computers in Human Behavior, 54, 358–367. https://doi.org/10.1016/j.chb.2015.08.026
Rains, S. A., Brunner, S. R., & Oman, K. (2016). Self-disclosure and new communication technologies: The implications of receiving superficial self-disclosures from friends. Journal of Social and Personal Relationships, 33(1), 42–61. https://doi.org/10.1177/0265407514562561
Reer, F., Tang, W. Y., & Quandt, T. (2019). Psychosocial well-being and social media engagement: The mediating roles of social comparison orientation and fear of missing out. New Media & Society, 21(7), 1486–1505. https://doi.org/10.1177/1461444818823719
Reinecke, L., & Hofmann, W. (2016). Slacking off or winding down? An experience sampling study on the drivers and consequences of media use for recovery versus procrastination. Human Communication Research, 42(3), 441–461. https://doi.org/10.1111/hcre.12082
Richey, M., Gonibeed, A., & Ravishankar, M. N. (2018). The Perils and Promises of Self-Disclosure on Social Media. Information Systems Frontiers, 20(3), 425–437. https://doi.org/10.1007/s10796-017-9806-7
Roberts, J. A., & David, M. E. (2020). The Social Media Party: Fear of Missing Out (FoMO), Social Media Intensity, Connection, and Well-Being. International Journal of Human–Computer Interaction, 36(4), 386–392. https://doi.org/10.1080/10447318.2019.1646517
Rozgonjuk, D., Ryan, T., Kuljus, J.-K., Täht, K., & Scott, G. G. (2019). Social comparison orientation mediates the relationship between neuroticism and passive Facebook use. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 13(1). https://doi.org/10.5817/CP2019-1-2
Satici, S. A., & Uysal, R. (2015). Well-being and problematic Facebook use. Computers in Human Behavior, 49, 185–190. https://doi.org/10.1016/j.chb.2015.03.005
Seckler, M., Heinz, S., Forde, S., Tuch, A. N., & Opwis, K. (2015). Trust and distrust on the web: User experiences and website characteristics. Computers in Human Behavior, 45, 39–50. https://doi.org/10.1016/j.chb.2014.11.064
Swain, R. K., & Pati, A. K. (2019). Use of social networking sites (SNSs) and its repercussions on sleep quality, psychosocial behavior, academic performance and circadian rhythm of humans – a brief review. Biological Rhythm Research, 52(8), 1139–1178. https://doi.org/10.1080/09291016.2019.1620487
Talwar, S., Dhir, A., Kaur, P., Zafar, N., & Alrasheedy, M. (2019). Why do people share fake news? Associations between the dark side of social media use and fake news sharing behavior. Journal of Retailing and Consumer Services, 51, 72–82. https://doi.org/10.1016/j.jretconser.2019.05.026
Tandon, A., Dhir, A., Almugren, I., AlNemer, G. N., & Mäntymäki, M. (2021). Fear of missing out (FoMO) among social media users: A systematic literature review, synthesis and framework for future research. Internet Research, 31(3), 782–821. https://doi.org/10.1108/INTR-11-2019-0455
Tandon, A., Dhir, A., & Mäntymäki, M. (2021). Jealousy due to social media? A systematic literature review and framework of social media-induced jealousy. Internet Research, 31(5), 1541–1582. https://doi.org/10.1108/INTR-02-2020-0103
Tandon, A., Kaur, P., Dhir, A., & Mäntymäki, M. (2020). Sleepless due to social media? Investigating problematic sleep due to social media and social media sleep hygiene. Computers in Human Behavior, 113, 106487. https://doi.org/10.1016/j.chb.2020.106487
Throuvala, M. A., Griffiths, M. D., Rennoldson, M., & Kuss, D. J. (2019). Motivational processes and dysfunctional mechanisms of social media use among adolescents: A qualitative focus group study. Computers in Human Behavior, 93, 164–175. https://doi.org/10.1016/j.chb.2018.12.012
Tsay-Vogel, M., Shanahan, J., & Signorielli, N. (2018). Social media cultivating perceptions of privacy: A 5-year analysis of privacy attitudes and self-disclosure behaviors among Facebook users. New Media & Society, 20(1), 141–161. https://doi.org/10.1177/1461444816660731
Varnali, K., & Toker, A. (2015). Self-disclosure on social networking sites. Social Behavior and Personality, 43(1), 1–14. https://doi.org/10.2224/sbp.2015.43.1.1
Verduyn, P., Gugushvili, N., Massar, K., Täht, K., & Kross, E. (2020). Social comparison on social networking sites. Current Opinion in Psychology, 36, 32–37. https://doi.org/10.1016/j.copsyc.2020.04.002
Verduyn, P., Ybarra, O., Résibois, M., Jonides, J., & Kross, E. (2017). Do Social Network Sites Enhance or Undermine Subjective Well-Being? A Critical Review. Social Issues and Policy Review, 11(1), 274–302. https://doi.org/10.1111/sipr.12033
Vergeer, M., & Pelzer, B. (2009). Consequences of media and Internet use for offline and online network capital and well-being. A causal model approach. Journal of Computer-Mediated Communication, 15(1), 189–210. https://doi.org/10.1111/j.1083-6101.2009.01499.x
Vogel, E. A., Rose, J. P., Okdie, B. M., Eckles, K., & Franz, B. (2015). Who compares and despairs? The effect of social comparison orientation on social media use and its outcomes. Personality and Individual Differences, 86, 249–256. https://doi.org/10.1016/j.paid.2015.06.026
Webster, D., Dunne, L., & Hunter, R. (2021). Association Between Social Networks and Subjective Well-Being in Adolescents: A Systematic Review. Youth & Society, 53(2), 175–210. https://doi.org/10.1177/0044118X20919589
Whelan, E., Najmul Islam, A. K. M., & 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
Yao, J., & Cao, X. (2017). The balancing mechanism of social networking overuse and rational usage. Computers in Human Behavior, 75, 415–422. https://doi.org/10.1016/j.chb.2017.04.055
Ye, S., & Ho, K. K. W. (2019). Would you feel happier if you have more protection behaviour? A panel survey of university students in Japan. Behaviour & Information Technology, 38(4), 422–434. https://doi.org/10.1080/0144929X.2018.1544275
Zhu, Y., & Bao, Z. (2018). The role of negative network externalities in SNS fatigue: An empirical study based on impression management concern, privacy concern, and social overload. Data Technologies and Applications, 52(3), 313–328. https://doi.org/10.1108/DTA-09-2017-0063
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