Navigating Social Media Usage and Perceived Behavioural Control in Lowering Youth’s Moral Decadence
Abstract
The development of the Internet shifted people's attention away from traditional media and towards new media. People utilize an abundance of social media platforms to remain informed about news, including Facebook, Instagram, TikTok, X (previously known as Twitter), and others. However, modern technology allows users to look for information on economic, political, and entertainment issues. Thousands of bytes of data were released worldwide to inform and draw attention. Youth's perceptions of the media usage's credibility were being questioned as a result of the unchecked news spreading through the social media platform. Hence, this study was conducted quantitatively and data were collected via an online survey consisting of 80 questions and were analyzed using SPSS. A total number of 44 undergraduate students from Universiti Teknologi MARA (UiTM) Negeri Sembilan was selected as a sample for this pilot study. An Exploratory Factor Analysis (EFA) was also conducted to assess the number of constructs or factors involved, as well as item quality, item loading factors, and construct validity. The result shows that the items involved in measuring the variable were reliable and normally distributed. The reliability test reveals that the internal consistency is considered excellent except for two factors (Cronbach’s alpha = .70), which is considered good.
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Afuge, A. (2015). Moral decadence in tertiary institutions. Journal of Educational Studies, 6(13), 234-245. http://dx.doi.org/10.46827/ejsss.v7i3.1229.
Alsmadi, I., & O’Brien, M. J. (2020). Toward autonomous and collaborative information-assessment systems. Procedia Computer Science, 168, 118–122.
Acar, M. N., Best, P., Manktelow, R., & Taylor, B. (2022). Online communication, social media, and adolescent well-being: a systematic narrative review. Children and Youth Services Review, 41, 27–36. DOI:10.1016/j.childyouth.2014.03.001.
Baccarella, M. A., Winpenny, E. M., Marteau, T. M., & Nolte. (2018). Exposure to children and adolescents to alcohol marketing on social websites. Alcohol Alcohol, 49(2), 154–159. https doi: 10.1093/alcalc/agt174.
Barry, C. T., Doucette, H., Loflin, D. C., Rivera-Hudson, N. J., & Herrington, L. (2017). Adolescent social media use and mental health from adolescent and parent perspective. The Psychology of Popular Media Culture, 6, 48e60.
Bjarehed, M., Sjogren, B., Thornberg, R., & Gini G, Pozzoli T. (2024). A short-term longitudinal study on the development of moral disengagement among schoolchildren: the role of collective moral disengagement, authoritative teaching, and student-teacher relationship quality. Front Psychology, 1, 195–228. https://doi.org/10.3389/fpsyg.2024.1381015
Bartlett, M. S. (1954). A Note on the Multiplying Factors for Various χ2 Approximations. Journal of the Royal Statistical Society, 16, 296-298. https://doi.org/10.1111/j.2517-6161.1954.tb00174.
Berger, M. N., Taba, M., Marino, J. L., Lim, M. S. C., & Skinner, S. R. (2022). Social Media Use and Health and Well-being of Lesbian, Gay, Bisexual, Transgender, and Queer Youth: Systematic Review. Journal Med Internet Res., 24(9), e38449. doi: 10.2196/38449.
Boursier, V., Gioia, F., & Griffiths, M. D. (2020). Do selfie expectancies and social Does appearance anxiety predict adolescents’ problematic social media use? Computers in Human Behaviour, 110, 106395. 10.1016/j.chb.2020.106395.
Bilkisu, L. (2019). The World We Live In. Published By Daily Trust Newspaper.
Chang, Y. S., Zhang, Y., & Gwizdka, J. (2021). The effects of information sources and e-health literacy on consumer health information credibility evaluation behavior. Comput. Hum. Behav., 115, 106629.
Caner, M., Mojtabai, R., Olfson, M., & Han, B. (2022). National trends in the prevalence and treatment of depression in adolescents and young adults. Pediatrics, 138, e20161878.
Chukwuebuka. (2021). Connecting to Work: Information and Communication Technologies Could Help Expand Employment Opportunities. Global ICT Development, World Bank.
Chinedu, J. D., Victor, I. E., & Ozioma, F. C. (2020). Addressing moral decadence in contemporary Nigerian society. The Religious Option. Discovery, 56(253), 273-280.
Conley, T. G., Hansen, C. B., McCulloch, R. E., & Rossi, P. E. (2008). A semi-parametric Bayesian approach to the instrumental variable problem. Journal of Econometrics, 144(1), 276-305.
Cooper, D. & Schindler, P. (2011). Business Research Methods. 11th Edition, McGraw Hill, Boston.
Gaziano, C. (1988). How Credible Is the Credibility Crisis? Journalism Quarterly, 65, 267-78, 375.
Ghauri, P. & Gronhaug, K. (2010). Research Method in Business Studies 4th Edition. Pearson, London.
Hassan, Z. A., Schattner, P., & Mazza, D. (2006). Doing A Pilot Study: Why Is It Essential? Malays Fam Physician, 1(3), 70-3. PMID: 27570591.
Jerkovic, S., & Ilic M. D. (2020). Family functioning and moral development of students. Journal of Frontiers in Psychology, 50(2), 275-294. https://doi.org/10.1016/j.paid.2023.112156
Jiang, G., Feng, X., Liu, W., & Liu, X., (2020). Clicking position and user posting behaviour in online review systems: a data-driven agent-based modeling approach. Information Sciences, 512, 161–174.
Kaiser, H.F. & Rice, J. (1974) Little Jiffy, Mark Iv. Educational and Psychological Measurement, 34, 111-117. http://journals.sagepub.com/doi/pdf/10.1177/001316447403400115
Kemp, S. (2020). Digital 2020: Kenya, Online and Offline Android Based on Mobile Application for Mapping Health Facilities Using Google Maps. Retrieved from ttps://datareportal.com/reports/digital-2020-kenya.
Kraemer, H. C, Mintz, J, Noda, A, Tinklenberg, J., & Yesavage, J. A. (2006). Caution regarding the use of pilot studies to guide power calculations for study proposals. Arch Gen Psychiatry, 63(5), 484–9.
Lancaster, G. A., Dodd, S., & Williamson, P. R. (2004). Design and analysis of the pilot studies: recommendations for good practice. Journal Eval Clinical Practice, 10(2), 307–12.
Le, T. Q. A., Shimamura, Y., & Yamada, H. (2020). Information Acquisition and Adopting A New Rice Variety Towards the Development of Sustainable Agriculture in Rural Villages in Central Vietnam. World Development Perspectives, 100262.
Liu, W., Chen, J. S., Gan, W. Y., Poon, W. C., Tung, S. E. H., Lee, L. J., Xu, P., Chen, I. H., Griffiths, M. D., & Lin, C. Y. (2022). Associations of problematic internet use and weight-related self-stigma, and nomophobia with physical activity: findings from Mainland China, Taiwan, and Malaysia. International Journal of Environmental Research and Public Health, 19(19), 12135.
Livingstone, S., & Helsper, E. (2010). Balancing opportunities and risks in teenagers’ use of the internet: The role of online skills and internet self-efficacy. New Media & Society, 12(2), 309–329. https://doi.org/10.1177/1461444809342697.
Malmqvist, J., Hellberg, K., Möllås, G., Rose, R., & Shevlin, M. (2019). Conducting the pilot study: A neglected part of the research process? Methodological findings support the importance of piloting in qualitative research studies. International Journal of Qualitative Methods, 18, 1609406919878341.
Marsh, H. W., Balla, J. R., & McDonald, R. P. (2014). Goodness-of-Fit Indexes in Confirmatory Factor Analysis: The Effect of Sample Size. Psychological Bulletin, 103, 391-410. http://dx.doi.org/10.1037/0033-2909.103.3.391.
Mackay, J. B., & Lowrey, W. (2019). The credibility divide: reader trust of online newspapers and blogs. Journal of Media Sociology, 3(4), 39-57.
Marek, Z., & Walulik, A. (2021). What do morality and religion have in common with health? Pedagogy of religion in the formation of moral competence. Journal of Religion and Health, 60 (5), 3130-3142.
Marino, C., Gini, G., Vieno, A., & Spada, M. M. (2018). The Associations betweenproblematic Facebook use, psychological distress and well-being among adolescents and young adults: a systematic review and meta-analysis. Journal of Affective Disorders, 226, 274–281. https://doi.org/10.1016/j.jad.2017.10.007.
Memon, A. M., Sharma, S. G., Mohite S., & Jain, S. (2018). The role of online social networking on deliberate self-harm and suicidality in adolescents: A systematized review of the literature. Indian Journal Psychiatry, 60(4), 384-392. doi: 10.4103/psychiatry.
Mohsenpour, M. A., Karamizadeh, M., Barati-Boldaji, R., Ferns, G. A., & Akbarzadeh, M. (2023). Structural Equation Modeling of Direct and Indirect Associations of Social Media Addiction with Eating Behaviour in Adolescents and Young Adults. Scientific Reports, 13(1), 3044.
Monacis, L., Griffiths, M. D., Limone, P., Sinatra, M., & Servidio, R. (2020). Selfitis behaviour: assessing the Italian version of the selfitis behavior scale and its mediating role in the relationship of dark traits with social media addiction. International Journal of Environmental Research and Public Health, 17(16), 5738. https://doi.org/10.3390/ ijerph17165738.
Moreno, S., Sardinha, L., Maheu-Giroux, M., Stöckl, H., Meyer, S. R., & García-Moreno, C. (2022). Global, regional, and national prevalence estimates of physical or sexual, or both, intimate partner violence against women in the 20th century. The Lancet, 399(10327), 803-813.
Morgan, D. (1993). Qualitative content analysis: A guide to paths not taken. Qualitative Health Research, 3, 112–121. https://doi.org/10.1177/104973239300300107.
Mulisa F., & Getahun D. A. (2018). Perceived benefits and risks of social media: Ethiopian secondary school students’ perspectives. Journal of Technology in Behavioral Science, 3(4), 294–300. 10.1007/s41347-018-0062-6.
Nesi, J., & Prinstein, M. J. (2018). In search of likes: Longitudinal associations between adolescents' digital status-seeking and health-risk behaviors. Journal of Clinical Child and Adolescent Psychology, 4(5), 231-239https://doi.org/10.1080/15374416.2018.1437733.
Obeid, S., Saade, S., Haddad, C., Sacre, H., Khansa, W., Al Hajj, R., Kheir, N., & Hallit, S. (2019). Internet addiction among Lebanese adolescents: the role of self-esteem, anger, depression, anxiety, social anxiety, and fear, impulsivity, and aggression - A Cross-sectional Study. The Journal of Nervous and Mental Disease, 207(10), 838–846. https://doi.org/10. 1097/NMD.0000000000001034Ooi.
Pew Research Center. (2018). Teens, social media, and technology overview 2018. http://www.pewinternet.org/2018/04/09/teens-social-media-technology-2018.
Pett, M. A., Lackey, N. R. & Sullivan, J. J. (2013). Making sense of factor analysis: the use of factor analysis for instrument development in health care research. SAGE Publications, Thousand Oaks. http://dx.doi.org/10.4135/9781412984898.
Popat, A., & Tarrant, C. (2023). Exploring adolescents' perspectives on social media and mental health and well-being - A qualitative literature review. Clin Child Psychol Psychiatry, 28(1), 323-337. http://dx.doi: 10.1177/13591045221092884.
Radovic, A., Gmelin, T., Stein, B. D., & Miller, E. (2017). Depressed adolescents' positive and negative use of social media. Journal Adolescent, 55, 5-15. doi: 10.1016/j.adolescence.2016.12.002.
Oyediran, A. O. (2020). Causes and effects of sexual immorality among secondary school students in Afijio local government area, Oyo State. International Journal of Innovative Social Sciences & Humanities Research 8(2), 37-44.
Scott, H., Biello, S. M., & Woods, H. C. (2019). Identifying drivers for bedtime social media use despite sleep costs: The adolescent perspective. Sleep Health, 5(6), 539–545. 10.1016/j.sleh.2019.07.006.
Seabrook, E. M., Kern, M. L., & Rickard, N. S. (2016). Social Networking Sites, Depression, and Anxiety: A Systematic Review. JMIR Ment Health, 233(4), 112-119. doi: 10.2196/mental.5842. PMID: 27881357; PMCID: PMC5143470.
Shapiro, L. A. S., & Margolin, G. (2019). Growing up Wired: Social Networking sites and adolescent psychosocial development. Clinical Child and Family Psychology Review, 17(1), 1–18. https://doi.org/10.1007/s10567-013-0135-1
Statista. (2022). Global Digital Population as of January 2021. Available online at https://www.statista.com/statistics/617136/digital-population-worldwide/ (accessed April 17, 2022).
Srivastava, K., Chaudhury, S., Prakash, J., & Dhamija, S. (2019). Social media and mental health challenges. Ind Psychiatry Journal, 28(2), 155-159. doi: 10.4103/ipj.ipj_154_20.
Sujarwoto, R. A. M. S., & Yumarni, T. (2023). Social media addiction and mental health among university students during the COVID-19 pandemic in Indonesia. International Journal of Mental Health and Addiction, 21(1), 96–110. https://doi.org/10.1007/s11469-021-00582-3Tung.
Song, S., Zhang, Y., & Yu, B. (2021). Interventions to support consumer evaluation of online health information credibility: A Scoping Review. Int. J. Med. Inf., 145, 104321.
Tennant, J. E, Demaray, M. K, Coyle, S, & Malecki, C. K. (2015). The dangers of the web: Cyber victimization, depression, and social support in college students. Computers in Human Behavior, 50, 348–357. http://dx.doi.org/10.1016/j.chb.2015.04.014.
Uhls, Y. T. (2017). Media Moms and Digital Dads: A Fact Not Fear Approach to Parenting in the Digital Age. New York, NY: Bibliomania, Incorporation.
Umeogu, O., Mahwish, Z. & Wajahat, S. (2020). Impact of social media on entrepreneurship growth: a case of Lahore, Pakistan. International Journal of Engineering Sciences & Research Technology, 6(1), 98-113.
Vandenbosch, L., & Eggermont, S. (2022). The Interrelated roles of mass media and social media in adolescents’ development of an objectified self-concept: a longitudinal study. Communication Research, 43(8), 1116-1140 https://doi.org/10.1177/0093650215600488.
Vidal, C., Lhaksampa, T., Miller, L., & Platt, R. (2020). Social media use and depression in adolescents: a scoping review. Int Rev Psychiatry, 32(3), 235-253. doi: 10.1080/09540261.2020.1720623. PMCID: PMC7392374.
Wang C. W., Musumari P. M., Techasrivichien T., Suguimoto S. P., Chan C. C., Ono-Kihara M., Kihara M., & Nakayama T. (2019). I felt angry, but I couldn’t do anything about it”: A qualitative study of cyberbullying among Taiwanese high school students. BMC Public Health, 19, 654. 10.1186/s12889-019-7005-9.
Vannucci, A., & Ohannessian, C. M. (2019). Social media use subgroups differentially predict well-being during early adolescence. Journal of Youth and Adolescence, 48(8), 1469–1493. https://doi.org/10.1007/s10964-019-01060-9.
Yin, C., & Zhang, X. (2020). Incorporating message format into user evaluation of microblog information credibility: A nonlinear perspective. Information Processing & Management, 57(6), 102345.
Ybarra, M. L., Mitchell, K.J., Palmer, N. A., & Reisner SL. (2015). Online social support as a buffer against online and offline peer and sexual victimization among U.S. LGBT and non-LGBT youth. Child Abuse & Neglect, 39, 123–136.
