FACTORS INFLUENCING ONLINE SOCIAL SUPPORT OF SOCIAL NETWORKING SITE USE AMONG ELDERLY PEOPLE
Article Sidebar
Main Article Content
Abstract
This study aimed to examine the factors that predicted two-way online social support frequency both receiving and giving in the context of social networking site use of elderly people. This study was based on the theory of uses and gratifications. Quantitative research with questionnaires was used to collect the data from 400 participants who were elderly people (aged 60 and over) and had participated in social networking websites in 3 months. Overall, the findings revealed that elderly people who had high self-esteem had high frequency of giving online emotional and information support. On the other hand, loneliness in elderly people had influence on low frequency of receiving online emotional support and giving online tangible social support. Moreover, entertainment motive had a positive effect on both receiving and giving online social support frequency in all three dimensions which are emotional support, tangible support, information support. In term of compulsive use positively predicted both receiving and giving online social support frequency among elderly people.
Article Details
Each publish articles were copyright by Phranakorn Rajabhat University
Any contents which appeared in each articles in the journal were authors personal opinion. It did not relate to Phranakorn Rajabhat University and other instructors in the university. Each authors would take responsibility on their articles. If there are any mistake, the authors will take responsibility themselves
References
2. สถาบันวิจัยประชากรและสังคม มหาวิทยาลัยมหิดล และมูลนิธิสถาบันวิจัยและพัฒนาผู้สูงอายุไทย. (2561) สถานการณ์ผู้สูงอายุไทย พ.ศ. 2560. สืบค้นจาก https://thaitgri.org
3. สํานักงานคณะกรรมการพัฒนาการเศรษฐกิจและสังคมแห่งชาติ สำนักงานเลขานุการของคณะกรรมการยุทธศาสตร์ชาติ,. (2561). ยุทธศาสตร์ชาติ พ.ศ. ๒๕๖๑ – ๒๕๘๐. สืบค้นจาก https://www.nesdc.go.th/download/document/SAC/NS_PlanOct2018.pdf
4. สำนักงานพัฒนาธุรกรรมทางอิเล็กทรอนิกส์. (2563). รายงานผลการสำรวจพฤติกรรมผู้ใช้อินเทอร์เน็ตในประเทศไทยปี 2562. สืบค้นจาก https://www.etda.or.th/publishing-detail/thailand-internet-user-behavior-2019.html
5. Brailovskaia, J., Rohmann, E., Bierhoff, H. W., Schillack, H., & Margraf, J. (2019). The relationship between daily stress, social support and Facebook Addiction Disorder. Psychiatry research, 276, 167-174.
6. Brockner, J., Heuer, L., Siegel, P. A., Wiesenfeld, B., Martin, C., Grover, S., Thomas, R. & Bjorgvinsson, S. (1998). The moderating effect of self-esteem in reaction to voice: Converging evidence from five studies. Journal of personality and social psychology, 75(2), 394-407.
7. Burleson, B. R., & MacGeorge, E. L. (2002). Supportive communication. In M. Knapp & J. A. Daily (Eds.), Handbook of interpersonal communication (3rd ed.,) (pp. 374-424). Sage.
8. Caplan, S. E. (2003). Preference for online social interaction: A theory of problematic internet use and psychosocial well-being. Communication Research, 30, 625-648.
9. Dumrongsiri, N., & Pornsakulvanich, V. (2010). Internet Use for Social Support Among People Living HIV/AIDS: How Did Individual Differences Predict Support Frequency and Satisfaction?. Journal of Communication Arts, 28(3), 57-76.
10. Fratiglioni, L., Wang, H. X., Ericsson, K., Maytan, M., & Winblad, B. (2000). Influence of social network on occurrence of dementia: a community-based longitudinal study. The lancet, 355(9212), 1315-1319.
11. Katz, E., Blumler, J. G., & Gurevitch, M. (1974). Utilization of mass communication by the individual. In J.G. Blumler & E. Katz (Eds.), The uses of mass communication: Current perspectives on gratifications research (pp. 19-32). Beverly Hills CA: Sage.
12. Kim, J., LaRose, R., & Peng, W. (2009). Loneliness as the cause and the effect of problematic Internet use: The relationship between Internet use and psychological well- being. Cyberpsychology & behavior, 12(4), 451-455.
13. Maton, K. I. (1987). Patterns and psychological correlates of material support within a religious setting: The bidirectional support hypothesis. American Journal of Community Psychology, 15(2), 185-207.
14. Moss, G. E. (1973). Illness, immunity, and social interaction. New York: John Wiley.
15. Rubin, A. M. (2009). Uses-and-gratifications perspective of media effects. In J. Bryant & M. B. Oliver (Eds.), Media effects advances in theory and research (3rd ed.,) (pp.165-184). New York: Routledge.
16. Sarason, I. G., Levine, H. M., Basham, R. B., & Sarason, B. R. (1983). Assessing social support: the social support questionnaire. Journal of personality and social psychology, 44(1), 127-139.
17. Shaw, L. H., & Grant, L. M. (2002). In defense of the Internet: The relationship between Internet communication and depression, loneliness, self-esteem, and perceived social support. CyberPsychology and Behavior, 5, 157–171.
18. Wang, G., Zhang, W., & Zeng, R. (2019). WeChat use intensity and social support: The moderating effect of motivators for WeChat use. Computers in Human Behavior, 91, 244-251.