Published August 29, 2023 | Version v1
Journal article Open

Quantifying the Impact of Social Media on Adolescent Delinquency

Authors/Creators

  • 1. Headstart College of Cotabato, Cotabato City, BARMM, Philippines

Description

This study examines social media's quantitative effect on juvenile criminality. The researcher intends to quantify how social media usage affects juvenile delinquency. The research will examine mediating elements, including peer influence, self-esteem, and antisocial content. This study may educate parents, educators, politicians, and mental health experts on adolescent social media usage hazards. This study aims to establish evidence-based social media mitigation and youth development solutions. This research employed quantitative methodologies. The target population for this study will be two hundred (200) criminology students of Headstart College of Cotabato. Participants will be selected using a time-efficient random selection strategy. The findings of a power analysis will be used to calculate the sample size needed to achieve the desired level of statistical significance. The researcher will administer the survey questionnaire face-to-face after proper coordination with the College head. Respondents had enough time to complete the survey questions. The researcher and respondents will complete the questionnaire in their own time to gather and retrieve data: data quantification, categorization, and statistical description. Weighted mean and correlation were utilized to assess the association between social media use and teenage delinquency and behavior. The researcher carried out all methods using SPSS Application Guide as statistical software. The study revealed that excessive social media use is associated with negative outcomes such as mental health issues, decreased social interactions, and potential impacts on academic performance. Additionally, the level of parental monitoring and communication regarding social media usage was varied, and family conflict related to social media use was evident to some extent. There needs to be more research done to determine the mechanisms that link adolescent social media usage and behavior. Longitudinal studies may help explain what happens and why, as well as suggest any necessary countermeasures.

Files

Julian.pdf

Files (788.0 kB)

Name Size Download all
md5:ae3f6be19e3b57e52b3faeca409da3c5
788.0 kB Preview Download

Additional details

References

  • Alhinai, Yousuf & Alsabahi, Juhaina & AlWahaibi, Zahra. (2015). Investigatng The Social Impact of Social Networking Media on Teenagers From 13 to 19 Years Old in Oman. Journal of Arts and Social Sciences [JASS]. 6. 15. 10.24200/jass.vol6iss1pp15-28.
  • Barry, Christopher & Kim, Hyunah. (2023). Parental monitoring of adolescent social media use: relations with adolescent mental health and self-perception. Current Psychology. 1-13. 10.1007/s12144-023-04434
  • Bunders, D. J., & Weerman, F. M. (2020). Social Media and Delinquency: Exploring the Relation between Online and Offline Interaction with Friends and Online and Offline Delinquency. Kriminologie, 2(2), 283–309. https://doi.org/10.18716/ojs/krimoj/2020.2.11
  • Clark, L. A., & Watson, D. (1995). Constructing validity: Basic issues in objective scale development. Psychological Assessment, 7(3), 309–319. https://doi.org/10.1037/1040-3590.7.3.309
  • Fardouly, J., Diedrichs, P. C., Vartanian, L. R., & Halliwell, E. (2018). Social comparisons on social media: The impact of Facebook on young women's body image concerns and mood. Body Image, 26, 38-45. Doi: 10.1016/j.bodyim.2018.05.011
  • Fardouly, J., Diedrichs, P. C., Vartanian, L. R., & Halliwell, E. (2015). Social comparisons on social media: The impact of Facebook on young women's body image concerns and mood. Body Image, 13, 38-45. doi: 10.1016/j.bodyim.2014.12.002
  • Hinkin, T. R. (1998). A brief tutorial on the development of measures for use in survey questionnaires. Organ. Res. Methods 1, 104–121.doi: 10.1177/109442819800100106.
  • JASON P. ABBOTT JASON GAINOUS (2023) Social Media and Protest Behavior in a Restrictive Traditional Media Environment: The Case of the Philippines. International Journal of Communication 17(2023), 23 (Jason P. Abbott, Jason Gainous, and Kevin M. Wagner).
  • Junco, R. (2015). Student class standing, Facebook use, and academic performance. Journal of Applied Developmental Psychology, 36, 18-29. doi: 10.1016/j.appdev.2014.11.001
  • Leedy, P.D. & Ormrod, J.E., 2013, Practical research: Planning and design, 10th edn., Pearson Education, Essex
  • Marino, C., Gini, G., Vieno, A., & Spada, M. M. (2018). The associations between problematic Facebook use, psychological distress and well-being among adolescents and young adults: A systematic review and metaanalysis. Journal of Affective Disorders, 226, 274-281. doi: 10.1016/j.jad.2017.10.007
  • Mesch, G. S. (2009). Parental mediation, online activities, and cyberbullying. CyberPsychology & Behavior, 12(4), 387-393. doi: 10.1089/cpb.2008.0222
  • Mesch, G. S., Ursin, G., & Ariely, G. (2017). Parental mediation, peer norms and risky online behavior among adolescents. Computers in Human Behavior, 70, 161-166. doi: 10.1016/j.chb.2017.01.018
  • Moreno, M. A., Goniu, N., Moreno, P. S., Diekema, D., & Christakis, D. A. (2016). Media use by children younger than 2 years. Pediatrics, 138(5), e20162591. doi: 10.1542/peds.2016-2591
  • Nesi, J., Choukas-Bradley, S., & Prinstein, M. J. (2018). Transformation of adolescent peer relations in the social media context: Part 1—A theoretical framework and application to dyadic peer relationships. Clinical Child and Family Psychology Review, 21(3), 267-294. doi: 10.1007/s10567-018-0250-7
  • Neuman, W.L., 1997, Social research methods: Qualitative and quantitative approaches, 4th edn., Allyn & Bacon, Boston, MA.
  • Padilla-Walker, L. M., Coyne, S. M., & Fraser, A. M. (2016). Getting a high-speed family connection: Associations between family media use and family connection. Family Relations, 65(2), 278-290. doi: 10.1111/fare.12188
  • Primack, B. A., Shensa, A., Sidani, J. E., Whaite, E. O., Lin, L. Y., Rosen, D., ... & Miller, E. (2017). Social media use and perceived social isolation among young adults in the US. American Journal of Preventive Medicine, 53(1), 1-8. doi: 10.1016/j.amepre.2017.01.010
  • Serinah, I. W., & Setiawina, N. D. (2019). The Effect of Social Media and Lifestyle on Children'S Dropout Rate. International Journal of Business, Economics and Law, 19(5), 231–241.
  • Valkenburg, P. M., & Peter, J. (2007). Online communication among adolescents: An integrated model of its attraction, opportunities, and risks. Journal of Adolescent Health, 41(6), S28-S35. doi: 10.1016/j.jadohealth.2007.08.020
  • Valkenburg, P. M., Krcmar, M., Peeters, A. L., & Marseille, N. M. (2013). Developing a scale to assess three styles of television mediation: "Instructive mediation," "restrictive mediation," and "social coviewing". Journal of Broadcasting & Electronic Media, 57(3), 291-310. doi: 10.1080/08838151.2013.800120
  • Van den Eijnden, R. J., Koning, I. M., Doornwaard, S. M., & van Gurp, F. D. (2016). Parental mediation and adolescent cyberbullying: A longitudinal study. Computers in Human Behavior, 58, 398-405. doi: 10.1016/j.chb.2016.01.048