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Social Media Addiction Among Indian Young Adults During COVID-19


Affiliations
1 Ph.D. Scholar, Department of Psychology, JAIN (Deemed-to-be University), Bangalore, India
2 Chief Counsellor, Area Coordinator and Professor, Department of Management, JAIN (Deemed-to-be University), Bangalore, India
 

Purpose: The study aims at understanding the prevalence and the paramount significance of the abuse of social media and its’ addiction during the present COVID-19. It also aims at understanding how accustomed or habituated people are, in terms of social media use.

Methodology: A survey was conducted on 204 young adults in India using the shortened version of Social media Addiction Survey (Sahin, 2018). Reliability and Validity Tests were conducted along with One Sample t-test to understand the effect that each item had on the use of social media among the participants.

Findings: Internal consistency coefficient (Cronbach’s alpha coefficient) is 0.896, andinter-item validity is significant at 0.01 level, i.e. at a 99% confidence interval. The majority of the participants are eager to use social media and be informed about the content shared by their respective groups. Most participants also tend to spend more time on social media when they are alone.

Study Implications: The paper suggests that the shortened version of the Social Media Addiction Scale is applicable for different populations irrespective of their age group and cultural backgrounds. However, further research indicated in the domain and field of social media in terms of addiction among more young adults is recommended.


Keywords

Social Media Addiction Questionnaire, Young Adults, COVID-19, The Prevalence of Social Media Use, Social Media Addiction.
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  • Aboujaoude, E. (2011). Foreword. In K. Young, & C. N. Abreu, Internet Addiction: A Handbook and Guide to Evaluation and Treatment (pp. vii-viii). Canada: John Wiley & Sons. Retrieved June 2, 2020
  • Adepoju, T. O., Ladipo, S. O., & Kolawole, A. A. (2015, January 1). Do social media utilisation and addiction influence undergraduate students’ self-perception? A case study of University of Ibadan, Nigeria. Journal of Emerging Trends in Educational Research and Policy Studies, 6(7), 271-277. Retrieved June 23, 2020, from http://www.jeteraps.scholarlinkresearch.com/articles/Do%20Social%20Media%20Utilisation.pdf
  • Ahmed, A., & Sathish, A. S. (2017, January). Determinants of Behavioural Intention Use Behaviour and Addiction Towards Social Network Games among Indian College Students. Man in India, 97(4), 21- 42. Retrieved June 24, 2020, from https://www.researchgate.net/publication/316171403_Determinants_of_ Behavioral_intention_Use_B ehaviour_and_Addiction_towards_Social_Network_ Games_among_Indian_College_Students
  • Allcott, H., Braghieri, L., Eichmeyer, S., & Gentzkow, M. (2020, March). The Welfare Effects of Social Media. American Economic Review, 110(3), 629-676. DOI:10.1257/aer.20190658
  • Al-Menayes, J. (2015, January 30). Self-perception is significantly positively related to social students in Kuwait. Psychology and Behavioural Sciences, 4(1), 23-28. DOI:10.11648/j.pbs.20150401.14
  • American Psychiatric Association. (2000). Diagnostic and Statistical Manual of Mental Disorders (4 ed.). New Delhi: Jaypee Brothers Medical Publishers. Retrieved June 2, 2020
  • Bavel, J. V., Baicker, K., Boggio, P. S., Capraro, V., Cichocka, A., Cikara, M., Willer, R. (2020, April 30). Using social and behavioural science to support COVID-19 pandemic response. Natural Human Behaviour, 4, 460-471. doi:https:// doi.org/10.1038/s41562-020-0884-z
  • Blackwell, D., Leaman, C., Tramposch, R., Osborne, C., & Liss, M. (2017, October). Self-esteem and social media addiction predict 20% of daily internet use. Furthermore, while depression was associated with self-esteem and daily internet use directly, social media addiction was affecting depression indirectly. Personality and Individual Differences, 116, 69-72. doi:https://doi.org/10.1016/j.paid.2017.04.039
  • Clement, J. (2020). Most popular social networks worldwide as of April 2020, ranked by the number of active users (in millions). Statista. Retrieved June 2, 2020, from https://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/
  • De, S. (2020). A Note from the Publisher. In S. De, Lockdown Liaisons: Leaving and Other Stories (Vol. 1). New Delhi: Simon & Schuster. Retrieved June 2, 2020.
  • Depoux, A., Karafillakis, E., & Wilder-Smith, A. (2020, April). The pandemic of social media panic travels faster than the COVID-19 outbreak. Journal of Travel Medicine, 27(3). doi:https://doi.org/10.1093/jtm/taaa031
  • Durak, H. Y. (2018, January 20). What Would You Do Without Your Smartphone? Adolescents’ Social Media Usage, Locus of Control, and Loneliness as a Predictor of Nomophobia. ADDICTA: THE TURKISH JOURNAL ON ADDICTIONS, 5(2), 1-15. doi:http://dx.doi.org/10.15805/addicta.2018.5.2.0025
  • Eastin & al., e. (2006). Self Regulation of Communication Technology. In C. Simmers, M. Anandarajan, & T. Teo, The Internet and Workplace Transformation (p. 31). New York: M.E.Sharpe.
  • Eijnden, R. J., Lemmens, J. S., & Valkenburg, P. M. (2016, August 25). The Social Media Disorder Scale. Computers in Human Behaviour, 61, 478-487. doi:https://doi.org/10.1016/j.chb.2016.03.038
  • Gao, J., Zheng, Y., Chen, H., Mao, Y., & Chen, S. (2020, April 16). Mental health problems and social media exposure during COVID-19 outbreak. PLOS-ONE, 15(4). doi:https://doi.org/10.1371/journal.pone.0231924
  • Hawi, N. S., & Samaha, M. (2016, August 10). The Relations Among Social Media Addiction, Self-Esteem, and Life Satisfaction in University Students. Social Science Computer Review, 35(5), 576-586. doi:https://doi.org/10.1177/0894439316660340
  • Kadam, A. B., & Atre, S. R. (2020, April 18). The negative impact of social media panic during the COVID-19 outbreak in India. Journal of Travel Medicine, 27(3). doi:https://doi.org/10.1093/jtm/taaa057
  • Kircaburun, K. (2016). Self-Esteem, Daily Internet Use and Social Media Addiction as Predictors of Depression among Turkish Adolescents. Journal of Education and Practice, 7(24), 64-72. Retrieved June 23, 2020, from https://files.eric.ed.gov/fulltext/EJ1112856.pdf
  • Leung, H., Pakpour, A. H., Strong, C., Lin, Y.-C., Tsai, M.-C., Griffiths, M. D., Chen, I.-H. (2020, February 10). Measurement Invariance Across Young Adults From Hong Kong and Taiwan Among Three Internet-Related Addiction Scales: Bergen Social Media Addiction Scale (BSMAS), Smartphone Application Based Addiction Scale (SABAS), and Internet Gaming Disorder Scale. Addictive Behaviours, 101(1), 1059-1069. doi:https://doi.org/10.1016/j.addbeh.2019.04.027
  • Li, J., Xu, Q., Cuomo, R., Purushothaman, V., & Mackey, T. (2020, March 12). Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study. JMIR Public Health and Surveillance, 6(2). DOI:DOI:10.2196/18700
  • Lian, B., Nguyen, P. T., Lydia, L., & Shankar, K. (2019, October). Can excessive use of social media contribute to addictive behaviours (drugs, tobacco, alcohol) or mental health issues? Restaurant Business, 118(10), 22-29. DOI:10.26643/ rb.v118i10.8779
  • Lin, C.-Y. (2020, March 12). Social reaction toward the 2019 novel coronavirus (COVID-19). Social Health and Behaviour, 3(1), 1-2. Retrieved June 2, 2020, from http://www.shbonweb.com/text.asp?2020/3/1/1/280554
  • Longstreet, P., & Brooks, S. (2017, August). Life satisfaction: A key to managing internet & social media addiction. Technology in Society, 50, 73-77. doi:https://doi.org/10.1016/j.techsoc.2017.05.003
  • Louni, A., & Subbalakshmi, K. (2014). Diffusion of Information in Social Networks. In M. Panda, S. Dehuri, & G.-N. Wang, Social Networking: Mining, Visualization, and Security (pp. 1-2). New York: Springer Publications.
  • Mamun, M. A., & Griffiths, M. D. (2019, January). The association between Facebook addiction and depression: A pilot survey study among Bangladeshi and Life Satisfaction in University Students. Social Science Computer Review, 35(5), 576-586. doi:https://doi.org/10.1177/0894439316660340
  • Kadam, A. B., & Atre, S. R. (2020, April 18). The negative impact of social media panic during the COVID-19 outbreak in India. Journal of Travel Medicine, 27(3). doi:https://doi.org/10.1093/jtm/taaa057
  • Kircaburun, K. (2016). Self-Esteem, Daily Internet Use and Social Media Addiction as Predictors of Depression among Turkish Adolescents. Journal of Education and Practice, 7(24), 64-72. Retrieved June 23, 2020, from https://files.eric.ed.gov/fulltext/EJ1112856.pdf
  • Leung, H., Pakpour, A. H., Strong, C., Lin, Y.-C., Tsai, M.-C., Griffiths, M. D., Chen, I.-H. (2020, February 10). Measurement Invariance Across Young Adults From Hong Kong and Taiwan Among Three Internet-Related Addiction Scales: Bergen Social Media Addiction Scale (BSMAS), Smartphone ApplicationBased Addiction Scale (SABAS), and Internet Gaming Disorder Scale. Addictive Behaviours, 101(1), 1059-1069. doi:https://doi.org/10.1016/j.addbeh.2019.04.027
  • Li, J., Xu, Q., Cuomo, R., Purushothaman, V., & Mackey, T. (2020, March 12). Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study. JMIR Public Health and Surveillance, 6(2). DOI:DOI:10.2196/18700
  • Lian, B., Nguyen, P. T., Lydia, L., & Shankar, K. (2019, October). Can excessive use of social media contribute to addictive behaviours (drugs, tobacco, alcohol) or mental health issues? Restaurant Business, 118(10), 22-29. DOI:10.26643/rb.v118i10.8779
  • Lin, C.-Y. (2020, March 12). Social reaction toward the 2019 novel coronavirus (COVID-19). Social Health and Behaviour, 3(1), 1-2. Retrieved June 2, 2020, from http://www.shbonweb.com/text.asp?2020/3/1/1/280554
  • Longstreet, P., & Brooks, S. (2017, August). Life satisfaction: A key to managing internet & social media addiction. Technology in Society, 50, 73-77. doi:https://doi.org/10.1016/j.techsoc.2017.05.003
  • Louni, A., & Subbalakshmi, K. (2014). Diffusion of Information in Social Networks. In M. Panda, S. Dehuri, & G.-N. Wang, Social Networking: Mining, Visualization, and Security (pp. 1-2). New York: Springer Publications.
  • Mamun, M. A., & Griffiths, M. D. (2019, January). The association between Facebook addiction and depression: A pilot survey study among Bangladeshi students. Psychiatry Research, 271, 628-633. doi:https://doi.org/10.1016/j.psychres.2018.12.039
  • Marks. (1990; 2006). Models of Online Addiction. In C. Simmers, & M. Anandarajan, The Internet and Workplace Transformation (pp. 31-32). New York: M.E. Sharpe.
  • Monacis, L., Palo, V. d., Griffiths, M. D., & Sinatra, M. (2017, May 11). Social networking addiction, attachment style, and validation of the Italian version of the Bergen Social Media Addiction Scale. Journal of Behavioural Addictions, 6(2), 178-186. doi:https://doi.org/10.1556/2006.6.2017.023
  • Nagaddya, R., Kiconco, S., Komuhangi, A., Akugizibwe, P., & Atuhairwe, C. (2017). Assessing the Influence of Social Networking Material on Adolescents’ Sexual Behavior in Kampala. Journal of Education and Practice, 8(15), 187-193. Retrieved June 24, 2020, from https://files.eric.ed.gov/fulltext/EJ1144113.pdf
  • Nath, K., Naskar, S., & Victor, R. (2016, March 31). A Cross-Sectional Study on the Prevalence, Risk Factors, and Ill Effects of Internet Addiction Among Medical Students in Northeastern India. The Primary Care Companion for CNS Disorders, 18(2). DOI:10.4088/PCC.15m01909
  • Nayak, J. K. (2018, August). The relationship among smartphone usage, addiction, academic performance and the moderating role of gender: A study of higher education students in India. Computers and Education, 123, 164-173. doi:https:// doi.org/10.1016/j.compedu.2018.05.007
  • Parikh, S., Desai, M., & Parikh, R. (2020). COVID-19 in the times of Social Media. In S. Parikh, M. Desai, & R. Parikh, The Coronavirus: What you Need to Know about the Global Pandemic (p. 23). New Delhi: Penguin Random House India Private Limited.
  • Pennycook, G., McPhetres, J., Zhang, Y., & Rand, D. (2020, March 17). Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy nudge intervention. doi:10.31234/osf.io/uhbk9
  • Roy, D., Tripathy, S., Kar, S. K., Sharma, N., Verma, S. K., & Kaushal, V. (2020, June). Study of knowledge, attitude, anxiety & perceived mental healthcare need in the Indian population during COVID-19 pandemic. Asian Journal of Psychiatry, 51. doi:https://doi.org/10.1016/j.ajp.2020.102083
  • Sahin, C. (2018, January). Social Media Addiction Scale - Student Form: The Reliability and Validity Study. The Turkish Online Journal of Educational Technology, 17(1), 169-182. Retrieved June 2, 2020, from http://www.tojet.net/articles/v17i1/17117.pdf
  • Sahin, C. (2018, January). Social Media Addiction Scale - Student Form: The Reliability and Validity Study. The Turkish Online Journal of Educational Technology, 17(1), 169-182. Retrieved June 4, 2020
  • Shah, R., Chauhan, N., Gupta, A. K., & Sen, M. S. (2016, October). Adolescentparent conflict in the age of social media: Case reports from India. Asian Journal of Psychiatry, 23, 24-26. doi:https://doi.org/10.1016/j.ajp.2016.07.002
  • Shensa, A., Escobar-Viera, C. G., Sidani, J. E., Bowman, N. D., Marshal, M. P., & Primack, B. A. (2017, June). Problematic social media use and depressive symptoms among U.S. young adults: A nationally- representative study. Social Science and Medicine, 182, 150-157. doi:https://doi.org/10.1016/j.socscimed.2017.03.061
  • Shettar, M., Karkal, R., Kakunje, A., Mendonsa, R. D., & Chandran, M. (2017, February 15). Facebook addiction and loneliness in the post-graduate students of a university in southern India. International Journal of Social Psychiatry, 63(4), 325329. doi:https://doi.org/10.1177/0020764017705895
  • Sriwilai, K., & Charoensukmongkol, P. (2015, March 30). Face it, do not Facebook it: Impacts of Social Media Addiction on Mindfulness, Coping Strategies and the Consequence on Emotional Exhaustion. Stress and Health, 32(4), 427-434. doi:https://doi.org/10.1002/smi.2637
  • Sulania, A., Sachdeva, S., & Dwivedi, N. (2016, April 8). aRisk of internet addiction among undergraduate medical, nursing, and lab technology students of a health institution from Delhi, India. Digital Media, 1, 72-78. Retrieved June 24, 2020, from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2760796
  • Turel, O., Brevers, D., & Bechara, A. (2018, February). Time distortion when users at-risk for social media addiction engage in non-social media tasks. Journal of Psychiatric Research, 97, 84-88. doi:https://doi.org/10.1016/j.jpsychires.2017.11.014
  • Viet-Phong, L., Pham, T.-H., Ho, M.-T., Nguyen, M.-H., Nguyen, K.-L., & Vuong, T.-T. (2020, April). Policy Response, Social Media and Science Journalism for the Sustainability of the Public Health System Amid the COVID-19 Outbreak: The Vietnam Lessons. Sustainability, 12, 29-31. doi:https://doi.org/10.3390/su12072931
  • Yan, Z. (2015). E: Effects and Impacts. In Z. Yan, Encyclopedia of Mobile Phone Behavior (p. 644). New York: Information Science Reference.
  • Zhou, S. X., & Leung, L. (2019). Gratification, Loneliness, Leisure Boredom, and Self-Esteem as Predictors of SNS-Game Addiction and Usage Pattern Among Chinese College Students. Internet and Technology Addiction: Breakthroughs in Research and Practice, 1-17. DOI:10.4018/978-1-5225-8900-6.ch034

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  • Social Media Addiction Among Indian Young Adults During COVID-19

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Authors

Sonia David
Ph.D. Scholar, Department of Psychology, JAIN (Deemed-to-be University), Bangalore, India
Uma Warrier
Chief Counsellor, Area Coordinator and Professor, Department of Management, JAIN (Deemed-to-be University), Bangalore, India

Abstract


Purpose: The study aims at understanding the prevalence and the paramount significance of the abuse of social media and its’ addiction during the present COVID-19. It also aims at understanding how accustomed or habituated people are, in terms of social media use.

Methodology: A survey was conducted on 204 young adults in India using the shortened version of Social media Addiction Survey (Sahin, 2018). Reliability and Validity Tests were conducted along with One Sample t-test to understand the effect that each item had on the use of social media among the participants.

Findings: Internal consistency coefficient (Cronbach’s alpha coefficient) is 0.896, andinter-item validity is significant at 0.01 level, i.e. at a 99% confidence interval. The majority of the participants are eager to use social media and be informed about the content shared by their respective groups. Most participants also tend to spend more time on social media when they are alone.

Study Implications: The paper suggests that the shortened version of the Social Media Addiction Scale is applicable for different populations irrespective of their age group and cultural backgrounds. However, further research indicated in the domain and field of social media in terms of addiction among more young adults is recommended.


Keywords


Social Media Addiction Questionnaire, Young Adults, COVID-19, The Prevalence of Social Media Use, Social Media Addiction.

References





DOI: https://doi.org/10.23862/kiit-parikalpana%2F2021%2Fv17%2Fi1%2F209027