Impact of Social Media and Peer Pressure on Moral Disengagement among Secondary School Students in Onitsha North LGA, Anambra State
DOI:
https://doi.org/10.12928/commicast.v5i1.10153Keywords:
Education , Internet , Moral Disengagement , Peer Pressure , Secondary School Students , Social Media , ValuesAbstract
Nigerian students are at a crossroads because of the rapid erosion of the value system in Nigeria, not because of corruption, unemployment, and poverty. The emergence of social media and peer influence has a different impact. This study explored the effects of social media and peer pressure on moral disengagement among secondary school students in Onitsha North LGA of Anambra State. The research sample size was 400 secondary school students selected through a multi-stage sampling technique from a population of 1,400 secondary school students in 12 government secondary schools in the Onitsha Education Zone. The results show that the presence of participants on social media, such as WhatsApp, Facebook, Instagram, etc., is quite high, with more than half of the population 167 (50.9%) always using social media. These findings also reveal the high use of social media among students, which may hurt student life, especially moral life. It was also confirmed that friendship and fun were the main satisfactions students got from social media, with a combined rate of 68% for 238 students. In addition, peer pressure has a negative (but not significant) impact on students' moral disengagement. However, this impact did not reach a substantial proportion at β = 0.06, p > 0.05 (n = 389), which means that the results did not support the first hypothesis, so it was rejected. Social media has a positive and significant impact on students' moral disengagement at β = 0.49, p < 0.05 (n = 389). These findings reveal a directly proportional impact of social media use on students' moral disengagement. It is recommended that parents, teachers, and other guardians regulate internet exposure via social media in teenagers and young adults to prevent them from becoming too busy or becoming addicted.
References
Alqahtani, N. H. (2024). Children’s Socialization to Gender Identity: A Study of Laurie Frankel’s This Is How It Always Is. Theory and Practice in Language Studies, 14(1), 257–264. https://doi.org/10.17507/tpls.1401.30
Anierobi, E. I., Etodike, C. E., Okeke, N. U., & Ezennaka, A. O. (2021). Social Media Addiction as Correlates of Academic Procrastination and Achievement among Undergraduates of Nnamdi Azikiwe University Awka, Nigeria. International Journal of Academic Research in Progressive Education and Development, 10(3). https://doi.org/10.6007/IJARPED/v10-i3/10709
Ayala-Enríquez, P., & Guerrero-Dib, J. (2024). Moral Disengagement Leading to Social Acceptance of Academic Misconduct: A Predictor of Behavior. In Springer International Handbooks of Education: Vol. Part F2304 (pp. 409–432). https://doi.org/10.1007/978-3-031-54144-5_102
Bello, H. S., Idris, S. U., & Bappayo, A. (2020). Media and educational technology in Nigeria: Managing the broadcast programmes of Radio Nigeria Globe FM towards girl child education. International Journal of Innovative Research in Education, 7(1). https://doi.org/10.18844/ijire.v7i1.4715
Bos, J. (2020). Research Ethics for Students in the Social Sciences. In Research Ethics for Students in the Social Sciences. https://doi.org/10.1007/978-3-030-48415-6
Brolin Låftman, S., Alm, S., Olsson, G., Sundqvist, K., & Wennberg, P. (2020). Future orientation, gambling and risk gambling among youth: a study of adolescents in Stockholm. International Journal of Adolescence and Youth, 25(1), 52–62. https://doi.org/10.1080/02673843.2019.1581069
Brown, R. (2020). The social identity approach: Appraising the Tajfellian legacy. British Journal of Social Psychology, 59(1), 5–25. https://doi.org/10.1111/bjso.12349
Button, M., & Cross, C. (2017). Cyber Frauds, Scams and their Victims. Routledge. https://doi.org/10.4324/9781315679877
Carr, M., & Lesniewska, F. (2020). Internet of Things, cybersecurity and governing wicked problems: learning from climate change governance. International Relations, 34(3), 391–412. https://doi.org/10.1177/0047117820948247
Carroll, J. M., Shih, P. C., Kropczynski, J., Cai, G., Rosson, M. B., & Han, K. (2017). The Internet of Places at Community-Scale (pp. 1–24). https://doi.org/10.4018/978-1-5225-0827-4.ch001
Cheng, L., Li, Y., Li, W., Holm, E., & Zhai, Q. (2013). Understanding the violation of IS security policy in organizations: An integrated model based on social control and deterrence theory. Computers & Security, 39, 447–459. https://doi.org/10.1016/j.cose.2013.09.009
Clough, J. (2015). Principles of Cybercrime. Cambridge University Press. https://doi.org/10.1017/CBO9781139540803
Di Consiglio, M., Burrai, J., Mari, E., Giannini, A. M., & Couyoumdjian, A. (2023). Imagine All the People: A Guided Internet-Based Imagery Training to Increase Assertiveness among University Students—Study Protocol for a Randomized Controlled Trial. Healthcare, 11(13), 1874. https://doi.org/10.3390/healthcare11131874
Donalds, C., & Osei-Bryson, K.-M. (2019). Toward a cybercrime classification ontology: A knowledge-based approach. Computers in Human Behavior, 92, 403–418. https://doi.org/10.1016/j.chb.2018.11.039
Drury, J. (2018). The role of social identity processes in mass emergency behaviour: An integrative review. European Review of Social Psychology, 29(1), 38–81. https://doi.org/10.1080/10463283.2018.1471948
Elizabeth Obiageli, U., & Issa Nasiru, O. (2021). Relationship between Peer-Group Influence and Moral Activities among in School Adolescents in Kwara State. Forum Ilmu Sosial, 48(2), 160–168. https://doi.org/10.15294/fis.v48i2.31876
Enoh, E. A., Aniere, Q. U., & Ndukwe, A. A. (2014). Residential Water Use in Onitsha North Local Government Area , Anambra. 9(3), 1409–1415.
Etodike, C. E., 1i, I. C., Nkwam-Uwaoma, Adeline O, & Fabian. (2018). European Journal of Open Education and E-learning Studies Social Media Networks And Associated Vulnerability To Sexual Risk Behaviours Among Undergraduates. European Journal of Open Education and E-Learning Studies, 3(1), 66–78. https://doi.org/10.5281/zenodo.1252540
Etodike, C., & Ojiakor, I. (2020). Social Media Networks And Associated Vulnerability To Sexual Risk Behaviours Among Undergraduates. 3, 66–78.
Eze-Michael, E. (2021). Internet fraud and its effect on Nigeria’s image in international relations. 12(1).
Fab-Ukozor, N., & Ojiakor, I. (2020). Social Media and Youth Empowerment: An Empirical Inquiry. 18–27. https://doi.org/10.5281/zenodo.3751050
Fissel, E. R., Fisher, B. S., & Nedelec, J. L. (2021). Cyberstalking Perpetration Among Young Adults: An Assessment of the Effects of Low Self-Control and Moral Disengagement. Crime & Delinquency, 67(12), 1935–1961. https://doi.org/10.1177/0011128721989079
Fusco, L., Sica, L. S., Boiano, A., Esposito, S., & Aleni Sestito, L. (2019). Future orientation, resilience and vocational identity in southern Italian adolescents. International Journal for Educational and Vocational Guidance, 19(1), 63–83. https://doi.org/10.1007/s10775-018-9369-2
Gomm, R. (2008). Social Research Methodology. Social Research Methodology. https://doi.org/10.1007/978-0-230-22911-2
Gupta, M. (2023). Impact of AI on social marketing and its usage in social media: A review analysis. In 2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023. https://doi.org/10.1109/ICCCNT56998.2023.10308092
Hasugian, G. G., Hendrayani, Y., & Handayani, L. (2020). Strategi Humas Siber Dalam Meningkatkan Kualitas Pelayanan Informasi Publik 4.0 Di Badan Kepegawaian Negara. Jurnal Pustaka Komunikasi, 3(2).
Hendrickson, B. (2024). Audience perceptions of a speaker who uses a smartphone as a public speaking aid_ An experimental video vignette investigation. Mobile Media and Communication, 12(1), 152–172. https://doi.org/10.1177/20501579231204716
Howard-Grenville, J. (2020). Organizational Culture as a Tool for Change. In Stanford Social Innovation Review (Vol. 18, Issue 3).
Ifinedo, P. (2014). Information systems security policy compliance: An empirical study of the effects of socialisation, influence, and cognition. Information & Management, 51(1), 69–79. https://doi.org/10.1016/j.im.2013.10.001
Jeong, R., Demaray, M. K., & Styck, K. M. (2024). Development of the Moral Disengagement Bullying Behavior Scale. International Journal of Bullying Prevention. https://doi.org/10.1007/s42380-023-00206-5
Kirnan, J. P. (2018). Everyday Ethics: A Case Study Analysis/Approach. In Everyday Ethics: A Case Study Analysis. https://doi.org/10.4324/9781315167657
Kumar, V., & Nanda, P. (2024). Social media and micro-lessons: A new paradigm of online learning. In Optimizing Education Through Micro-Lessons: Engaging and Adaptive Learning Strategies (pp. 157–172). https://doi.org/10.4018/9798369301951.ch009
Lazarus, S., Button, M., & Adogame, A. (2022). Advantageous comparison: using Twitter responses to understand similarities between cybercriminals (“Yahoo Boys”) and politicians (“Yahoo men”). Heliyon, 8(11). https://doi.org/10.1016/j.heliyon.2022.e11142
Lazarus, S. I. (2018). Birds of a feather flock together: The Nigerian cyber fraudsters (Yahoo Boys) and hip hop artists. Criminology, Criminal Justice, Law and Society, 19(2), 63–80. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063369720&partnerID=40&md5=10d7d555e482366e7215bec42aa47c10
Luo, A., & Bussey, K. (2019). The selectivity of moral disengagement in defenders of cyberbullying: Contextual moral disengagement. Computers in Human Behavior, 93, 318–325. https://doi.org/10.1016/j.chb.2018.12.038
Mazzone, A., Camodeca, M., & Salmivalli, C. (2016). Interactive effects of guilt and moral disengagement on bullying, defending and outsider behavior. Journal of Moral Education, 45(4), 419–432. https://doi.org/10.1080/03057240.2016.1216399
Mensah, E., & Kyei, S. (2019). Social Media Use and Moral Development of Students: A Cross-Sectional Survey. International Journal of Innovative Research and Development, 8(11). https://doi.org/10.24940/ijird/2019/v8/i11/NOV19025
Meter, D. J., & Bauman, S. (2018). Moral Disengagement About Cyberbullying and Parental Monitoring: Effects on Traditional Bullying and Victimization via Cyberbullying Involvement. The Journal of Early Adolescence, 38(3), 303–326. https://doi.org/10.1177/0272431616670752
Motteram, G., Dawson, S., & Al-Masri, N. (2020). WhatsApp supported language teacher development: A case study in the Zataari refugee camp. Education and Information Technologies, 25(6). https://doi.org/10.1007/s10639-020-10233-0
Nwosu, A. D. G., Ossai, E., Onwuasoigwe, O., Ezeigweneme, M., & Okpamen, J. (2021). Burnout and presenteeism among healthcare workers in Nigeria: Implications for patient care, occupational health and workforce productivity. Journal of Public Health Research, 10(1), 1–8. https://doi.org/10.4081/jphr.2021.1900
Octavia, D., Sari, R. M., Merdekawati, D., Marisdayana, R., & Yuliyana, R. (2022). The correlation between parental communication pattern, self-esteem, and moral disengagement with cyberbullying behavior in early adolescents: A cross-sectional study. Jurnal Ners, 17(1). https://doi.org/10.20473/jn.v17i1.24539
Ojiakor, I. (2019). Cognitive Effects Of Dialogic In-Vehicular Music Communication On Driving Behaviours: Emerging Facts Among Commercial Motorists In Southeast Nigeria. 7, 1–20.
Onwujekwe, O., Orjiakor, C. T., Hutchinson, E., McKee, M., Agwu, P., Mbachu, C., Ogbozor, P., Obi, U., Odii, A., Ichoku, H., & Balabanova, D. (2019). Where Do We Start? Building Consensus on Drivers of Health Sector Corruption in Nigeria and Ways to Address It. International Journal of Health Policy and Management. https://doi.org/10.15171/ijhpm.2019.128
Orokpo, O., Francis, O., Ogwu, H., Adamu, A., Mutong, & Machen, S. (2018). Nigeria’s Raising Poverty Profile Amidst Poverty Alleviation Programmes: Interrogating The Paradox.
Peck, J., & Shu, S. B. (2018). Psychological Ownership and Consumer Behavior. In Psychological Ownership and Consumer Behavior. https://doi.org/10.1007/978-3-319-77158-8
Pelton, J., Gound, M., Forehand, R., & Brody, G. (2004). The Moral Disengagement Scale: Extension with an American Minority Sample. Journal of Psychopathology and Behavioral Assessment, 26(1), 31–39. https://doi.org/10.1023/B:JOBA.0000007454.34707.a5
Pratt, T. C., Gau, J. M., & Franklin, T. W. (2011). Key ideas in criminology and criminal justice. Key Ideas in Criminology and Criminal Justice, 1969, 1–189. https://doi.org/10.4135/9781483388045
Shrubsole, K. (2021). Delivering an iterative Communication Partner Training programme to multidisciplinary healthcare professionals: A pilot implementation study and process evaluation. International Journal of Language and Communication Disorders, 56(3), 620–636. https://doi.org/10.1111/1460-6984.12618
Singh, M. K. (2024). Social capital: Evolution, contestation, application and digitization. In Social Capital: Evolution, Contestation, Application and Digitization. https://doi.org/10.1108/9781837975877
Sivasubramanian, S. (2007). Analysis of caching and replication strategies for web applications. IEEE Internet Computing, 11(1), 60–66. https://doi.org/10.1109/MIC.2007.3
Solomon, A. T., Jacob, O. N., & Jegede, D. (2020). University Education in Nigeria: Challenges and Way Forward. Jurnal Sinestesia, 10(2), 95–104. https://www.sinestesia.pustaka.my.id/journal/article/view/56
Steinberg, L., Graham, S., O’Brien, L., Woolard, J., Cauffman, E., & Banich, M. (2009). Age Differences in Future Orientation and Delay Discounting. Child Development, 80(1), 28–44. https://doi.org/10.1111/j.1467-8624.2008.01244.x
Sternisko, A., Cichocka, A., & Van Bavel, J. J. (2020). The dark side of social movements: social identity, non-conformity, and the lure of conspiracy theories. Current Opinion in Psychology, 35, 1–6. https://doi.org/10.1016/j.copsyc.2020.02.007
Stoltenberg, D. (2024). The spaces of public issues: How social media discourses shape public imaginations of issue spatiality. In The Spaces of Public Issues: How Social Media Discourses Shape Public Imaginations of Issue Spatiality. https://doi.org/10.4324/9781003428961
Szpilko, D., Szydło, J., & Winkowska, J. (2020). Social participation of city inhabitants versus their future orientation. Evidence from poland. WSEAS Transactions on Business and Economics, 17, 692–702. https://doi.org/10.37394/23207.2020.17.67
Tan, C. S. L. (2024). All by myself: examining social media’s effect on social withdrawal and the mediating roles of moral disengagement and cyberaggression. European Journal of Marketing, 58(2), 659–684. https://doi.org/10.1108/EJM-12-2022-0932
Thornberg, R., Wänström, L., Pozzoli, T., & Gini, G. (2018). Victim prevalence in bullying and its association with teacher–student and student–student relationships and class moral disengagement: a class-level path analysis. Research Papers in Education, 33(3), 320–335. https://doi.org/10.1080/02671522.2017.1302499
Thurlow, C., & Mroczek, K. (2012). Digital Discourse: Language in the New Media. In Digital Discourse: Language in the New Media. https://doi.org/10.1093/acprof:oso/9780199795437.001.0001
Timm, S. C. (2016). Moral Intuition or Moral Disengagement? Cognitive Science Weighs in on the Animal Ethics Debate. Neuroethics, 9(3), 225–234. https://doi.org/10.1007/s12152-016-9271-x
Ukaogo, V. O., Orabueze, F. O., & Ojukwu, C. K. (2021). Tertiary Teachers Strike (TTS) and e-Learning Deficit amidst Covid-19 Crisis in Nigeria. Rupkatha Journal on Interdisciplinary Studies in Humanities, 13(3). https://doi.org/10.21659/rupkatha.v13n3.21
Umeogu, B., & Ojiakor, I. (2014). The Internet Communication and the Moral Degradation of the Nigerian Youth. International Journal of Computer and Information Technology, 03(02), 2279–0764. www.ijcit.com450
Walker, T. M., Robertson, E. L., Frick, P. J., Ray, J. V., Thornton, L. C., Myers, T. D. W., Steinberg, L., & Cauffman, E. (2020). Relationships Among Callous-Unemotional Traits, Future Orientation, Optimism, and Self-Esteem in Justice-Involved Adolescents. Journal of Child and Family Studies, 29(9), 2434–2442. https://doi.org/10.1007/s10826-020-01770-w
Walters, G. D. (2019). Maturing out of delinquency: unpacking the effects of identity achievement and future orientation on crime desistance. Self and Identity, 18(3), 267–283. https://doi.org/10.1080/15298868.2018.1439848
Wang, R. (2022). Importance of Computer Ethics and Morality in Society. https://doi.org/10.2991/assehr.k.220105.010
Xie, Q., Bi, T., Luo, W., Li, X., Yang, B., & Kou, H. (2024). The prevalence and risk factors of conduct disorder among juvenile delinquents in China. Humanities and Social Sciences Communications, 11(1). https://doi.org/10.1057/s41599-024-02775-2
Xu, J. H. (2022). Constructing the consumer in the digital culture: American brands and China’s Generation Z. In Dismantling Cultural Borders Through Social Media and Digital Communications: How Networked Communities Compromise Identity (pp. 307–329). https://doi.org/10.1007/978-3-030-92212-2_12
Yang, M., & Salman, A. (2024). Analysis of correlating factors: Social media addiction in Shanghai’s Generation Z. International Journal of Advanced and Applied Sciences, 11(1), 129–136. https://doi.org/10.21833/ijaas.2024.01.016
Yu, C. Z., Chan, T. J., & Zolkepli, I. A. (2023). Bridging social media content and re-purchasing behavior: The mediation role of interactivity and e-WOM. International Journal of Data and Network Science, 7(1), 251–264. https://doi.org/10.5267/j.ijdns.2022.10.008
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