The Demographic Factors as Determinants of Social Media Addiction of Undergraduate Students of the Department of Library and Information Science at Delta state University Abraka, Nigeria
Main Article Content
Abstract
This paper explored demographic factors as determinants of social media addiction of undergraduate Library and Information Science Students, at Delta State University, Abraka, Nigeria. The study adopted a correlational design. The population of the study is 433 students of Library Science, Delta State University, Abraka. The study specifically covers the extent to which undergraduate students are addicted to social media, and how age and gender determine social media addiction. The census sampling technique was used to collect data from the respondents. An online questionnaire was administered and 262 responded. Data were analysed using descriptive and influential statistics. Findings revealed that students were addicted to social media to a large extent, ages 18-25 and 34-41 are more committed to social media. Age and gender positively determine social media addiction, in order words; demographic factors influenced social media addiction. The study recommends that awareness should be created among students on the effect of addiction to social media.
Article Details
Articles submitted to ZAJLIS should not have been published before in their current or substantially similar form, or be under consideration for publication with another journal. Authors submitting articles for publication warrant that the work is not an infringement of any existing copyright and will indemnify the publisher against any breach of such warranty. For ease of dissemination and to ensure proper policing of use, papers and contributions become the legal copyright of the publisher unless otherwise agreed. The editors may make use of software for checking the originality of submissions received.
Prior to article submission, authors should clear permission to use any content that has not been created by them. Failure to do so may lead to lengthy delays in publication. ZAJLIS is unable to publish any article which has permissions pending. The rights ZAJLIS require are:
- Non-exclusive rights to reproduce the material in the article or book chapter.
- Print and electronic rights.
- Worldwide English language rights.
- To use the material for the life of the work (i.e. there should be no time restrictions on the re-use of material e.g. a one-year licence).
References
Bolle, C. (2018). Who is a smartphone addict? The impact of personal factors and type of usage on smartphone addiction in a Dutch population (Master's thesis, University of Twente).
Chang, M. K., & Law, S. P. M. (2008). “Factor structure for young internet addiction test: A confirmatory approach”. Computers in Human Behavior, 24(6), 2597–2619.
Fader S. (2018) Social media obsession and anxiety. Retrieved from https://adaa.org/social-media-obsession
Igere, M.A. (2021). The utilization of the internet amongst Library and Information Science Students, Delta State University Abraka, Nigeria.Benue State University Journal of Education. 21(2): 57-62.
Igere, M.A., Adomi, E.E., & Nwosu, C.O.(2020). “The predictive nature of work motivation and career commitment of librarians in Universities in Southern Nigeria.” Library Philosophy and Practice (e-journal). Retrieved from: https://digitalcommons.unl.edu/libphilprac/4079.
Igere A.M. (2020). An Assessment of Demographic factors as predictors of career commitment of librarians in universities in Southern Nigeria. Library Philosophy and Practice (e-journal). https://digitalcommons.unl.edu/libphilprac/4313/.
Junco, R., Merson, D., & Salter, D. W. (2010). The effect of gender, ethnicity, and income on college students’ use of communication technologies. CyberPsychology, Behavior, and Social Networking, 13(6), 619–627.
Kilic, A.F.,& C.O.,Guzeler (2017). Demographic factors affecting internet
using purposes of high school students. Malaysian online journal of educational technology.5(2). www.mojet.net Kirik, A., Arslan, A., Çetinkaya, A., & Mehmet, G. Ü. L. (2015).Quantitative research on the level of social media addiction among young people in Turkey. International Journal of Sports Culture and Science, 3(3), 108-122.www.iscsjournal.com
Lee, B.W.,& Stapinski, L.A. (2012).Seeking safety on the internet: Relationship between social anxiety and problematic internet use. Journal of Anxiety Disorders, 26(1), 197-205. doi:10.1016/j.janxdis.2011.11.001
Lee, Y., Chang, C., Lin, Y., & Cheng, Z. (2014). The dark side of smartphone usage:
Psychological traits, compulsive behavior, and technostress.Computers in Human Behavior, 31, 373-383. Mądra-Sawicka, M., Paliszkiewicz, J., & Nord, J. H. (2020). Determinants of Social Media Usage in Business by Women: Age and Development of the Country. Information, 11(9), 445.doi:10.3390/info11090445
Moreno, M. A., &Whitehill, J. M. (2014). Influence of social media on alcohol use in
adolescents and young adults. Alcohol Research: Current Reviews36(1), 91–100. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4
O’Keeffe, G. S., & Clarke-Pearson, K. (2011). The impact of social media on children, adolescents, and families. Pediatrics, 127(4), 800–804. http://pediatrics.aappublications.org/content/pediatrics/127/4/800.full.pdf Owusu-Acheaw, M., & Larson, A. G. (2015). Use of social media and its impact on academic performance of tertiary institution students: A study of students of Koforidua Polytechnic, Ghana. Journal of Education and Practice, 6(6), 94-101.www.iiste.org/journals/ Sponcil, M., &Gitimu, P. (2013). Use of social media by college students: Relationship to communication and self-concept. Journal of Technology Research, 4(1), 37-49.
Sandys, S.G. (2017).Connectivity at a cost: Adolescents' use of social media and its effect on their mental health. Master of journalism at Massey University
Teng, C.E., &Joo, T.M. (2017).Analyzing the usage of social media: A study on elderly in Malaysia. World Academy of Science, Engineering and Technology. International Journal of Humanities and Social Sciences. 11(3), 737-743. scholar.waset.org/1307-6892/10007039
Topper, E. F. (2007). What’s new in libraries: Social networking in libraries. New Library World, 108(7/8), 378–380.
Weidman, A.C., Fernandez, K.C., Levinson, C.A., Augustine, A.A., Larsen, R.J., & Rodebaugh, T.L. (2012). Compensatory internet use among individuals higher in
social anxietyand its implications for well-being. Personality and Individual Differences, 53(3), 191-195. http://dx.doi.org.ezproxy.liberty.edu/10.1016/
Yolmaz, G., Uar, A. H., &Civan, S. (2015). “Investigation of Adolescent Mobile Phone Addiction by Social Anxiety Effect of Some Variable”. Online Journal of Technology Addiction & Cyberbullying, 2(4).
Young, K. S. (1998). Caught in the Net: How to recognize the signs of Internet addiction and a winning strategy for recovery. New York, NY: John Wiley & Sons