Influencing Factors for Excessive Use of Facebook: A Case Study in Khulna University, Bangladesh

Abstract

This paper examines the influencing factors for excessive use of Facebook on Khulna university students. Simple random sampling was used to select 365 respondents for this research. This research mainly focuses on Khulna university students where we primarily classify them into excessive and normal user of Facebook. In this study, we have obtained from chi-square test based on p-values Facebook usages status (excessive & normal user) of the university students is associated with Facebook as a communication medium, Facebook fan pages, groups and events at 1%, easy accessibility of Facebook at 5%, latest news source and getting friend’s updates is at 10% level of significance. That is, all these covariates have significant impact on the usage’s status of a Facebook user. This study also performs binary logistic regression model to find out the odds ratios of different categories of important factors and assess the association of different covariates on the usages of Facebook user among university students. Facebook as a job information source, source of online business, facilities of social games & videos, making friendship, status & feedback, passing leisure time and socializing opportunity for shy people though they are not found to have significant impact on with the usage status of a Facebook user of University students.

Keywords

• Social networking sites,Facebook,Logistic regression,Chi-square

Facebook’un Aşırı Kullanımına Etki Eden Faktörler: Bangladeş Khulna Üniversitesi’nde Bir Durum Çalışması

Öz

Bu çalışma Khulna Üniversitesi öğrencilerinin Facebook’u aşırı kullanımlarını etkileyen faktörleri araştırmaktadır. Bu çalışmanın katılımcıları olan 365 kişi basit rastgele örnekleme yöntemiyle belirlenmiştir. Bu çalışma temelde Facebook kullanımlarını aşırı ve normal kullanım şeklinde gruplandırdığımız Khulna Üniversitesi öğrencilerine odaklanmaktadır. Bu çalışmada p değerleri kapsamında gerçekleştirilen ki-kare testiyle elde ettiğimiz sonuçlara göre üniversite öğrencilerinin Facebook kullanım durumları (aşırı ve normal kullanıcı): %1 oranında bir iletişim aracı olarak Facebook, Facebook fan sayfaları, gruplar ve organizasyonlarla ilişkilendirilirken, %5 oranında Facebook’un kolay erişilebilirliği, % 10 oranında ise güncel haber kaynağı olması ve arkadaşların güncellemelerinden haberdar olmak ile anlamlı olarak ilişkilendirilmiştir. Yani tüm bu faktörlerin Facebook kullanıcıların kullanma durumlarını etkilediği söylenebilir. Ayrıca bu çalışma ikili lojistik regresyon modelini kullanarak farklı kategorideki önemli faktörlerin katkı oranlarını belirlemeye ve farklı değişkenler arasındaki ilişkilerin üniversite öğrencisi Facebook kullanıcılarının kullanımlarına etkisini de araştırmıştır. Bunun yanında üniversite öğrencisi Facebook kullanıcılarının kullanım durumlarını anlamlı düzeyde etkilemese de Facebook’un iş amaçlı bilgi kaynağı, e-ticaret kaynağı, video/sosyal oyun özellikleri, arkadaşlık yapma, durum bildirme/geri bildirim alma, boş zaman geçirme ve utangaç insanların sosyalleşmesini sağlama gibi faktörlerinde etkilediği tespit edilmiştir.

Anahtar Kelimeler

• Sosyal ağ siteleri,Facebook,Lojistik regresyon,Ki-kare

Kaynakça

1. Ahamad, M. H., & Das, B. C. (2018). Facebook Addiction among College going Students: An Exploratory Study in Patuakhali District of Bangladesh. Social Science and Humanities Journal, 2(10), 617-623.
2. Alhabash, S., Park, H., Kononova, A., Chiang, Y. H., & Wise, K. (2012). Exploring the motivations of Facebook use in Taiwan. Cyberpsychology, Behavior, and Social Networking, 15(6), 304-311.
3. Boyd, D. M., & Ellison, N. B. (2008). Social network sites: Definition, history, and scholarship. Journal of Computer‐mediated Communication, 13(1), 210-230.
4. Donath, J., & Boyd, D. (2004). Public displays of connection. BT Technology Journal, 22(4), 71-82.
5. Duncan, D. K., Hoekstra, A. R., & Wilcox, B. R. (2012). Digital devices, distraction and student performance-does cell phone use reduce learning? Retrieved from http://adsabs.harvard.edu/abs/2012AAS...21923508D
6. Ellison, N., Heino, R., & Gibbs, J. (2006). Managing impressions online: Self-presentation processes in the online dating environment. Journal of computer-mediated communication, 11(2), 415-441.
7. Facebook (2008). Facebook expands its social platform across the web through general availability of Facebook connect. Retrived from https://newsroom.fb.com/news/2008/12/facebook-expands-its-social-platform-across-the-web-through-general-availability-of-facebook-connect/
8. Flavelle, D. (2007). Worries follow rise of Facebook: Employers not happy with time spent on site. Toronto Star, May 04.

9. Gikas, J., & Grant, M. M. (2013). Mobile computing devices in higher education: Student perspectives on learning with cellphones, smartphones & social media. The Internet and Higher Education, 19, 18-26.
10. Joinson, A. N. (2008). Looking at, looking up or keeping up with people? Motives and use of facebook. In Proceedings of the SIGCHI conference on Human Factors in Computing Systems (pp. 1027-1036). ACM.
11. Kayri, M., & Cakir, O. (2010). An applied study on educational use of Facebook as a Web 2.0 tool: The sample lesson of computer networks and communication. International Journal of Computer Science & Information Technology (IJCSIT), 2(4), 48-58.
12. Lazer, D. M., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., ..., & Schudson, M. (2018). The science of fake news. Science, 359(6380), 1094-1096.
13. Lin, K. Y., & Lu, H. P. (2011). Intention to continue using Facebook fan pages from the perspective of social capital theory. CyberPsychology, Behavior, and Social Networking, 14(10), 565-570.
14. McGuire, W. J. (1974). Psychological motives and communication gratification. The Uses of Mass Communications: Current Perspectives on Gratifications Research, 3, 167-196.
15. Moghavvemi, S., Sulaiman, A., Aziz, A. A., & Wai, P. S. (2017). The impact of Facebook usage on academic performance. International Conference on Research and Innovation in Information Systems (ICRIIS) (pp. 1-5). IEEE.
16. Park, N., Kee, K. F., & Valenzuela, S. (2009). Being immersed in social networking environment: Facebook groups, uses and gratifications, and social outcomes. CyberPsychology & Behavior, 12(6), 729-733.
17. Saha, S. R., & Guha, A. K. (2019). Impact of social media use of university students. International Journal of Statistics and Applications, 9(1), 36-43.
18. Stafford, T. F., Stafford, M. R., & Schkade, L. L. (2004). Determining uses and gratifications for the Internet. Decision sciences, 35(2), 259-288.
19. Statista. (2019a). Number of monthly active Facebook users worldwide as of 2nd quarter 2019 (in millions). Retrieved from http://www.statista.com/statistics/264810/number-of-monthly-active-facebook-users-worldwide/
20. Statista. (2019b). Social media stats Bangladesh. Retrieved from http://gs.statcounter.com/social-media-stats/all/bangladesh
21. The Daily Star (2017). Dhaka 2nd among top cities with active Facebook users. Retrieved from https://www.thedailystar.net/bytes/dhaka-2nd-among-cities-largest-active-facebook-users-1391377
22. The Daily Star (2018). Dangers of excessive social media use. Retrieved from https://www.thedailystar.net/letters/dangers-excessive-social-media-use-1552003
23. Wang, Q., Chen, W., & Liang, Y. (2011). The effects of social media on college students. Retrieved from https://scholarsarchive.jwu.edu/cgi/viewcontent.cgi?article=1004&context=mba_student
24. Zaremohzzabieh, Z., Samah, B. A., Omar, S. Z., Bolong, J., & Kamarudin, N. A. (2014). Addictive Facebook use among university students. Asian Social Science, 10(6), 107-116.