News/Entertainment Social Media Engagement and Social Media Health Literacy: Effects on Mental Health and Coping During COVID-19 Lockdown

Alyaa Anter 1 *
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1 College of Mass Communication, Ajman University, Ajman, UAE
* Corresponding Author
Online Journal of Communication and Media Technologies, Volume 12, Issue 4, Article No: e202244.
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This study examined the effects of news engagement (NE) vs. entertainment engagement (EE), and of social media health literacy (SMHL) on mental health and coping during the first COVID-19 lockdown. Further, it investigated the moderating effect of SMHL between NE, EE, mental health, and coping relations. The study is drawing on mood management theory and stress- coping theory and is based on a cross-sectional online survey of 478 participants aged 18 years and older. Moderated multiple regression and path analyses were used; the results indicated that both NE and EE predicted a significant increase in anxiety and depression and increased the participants’ online and offline coping. While SMHL predicted a substantial decrease in anxiety and depression, with an increase in online and offline coping. SMHL significantly moderated (weakened) the relations between NE and both anxiety and depression. Online coping significantly mediated the relations between both NE and EE and offline coping. This study proposes that EE has less effect on anxiety and depression than NE does. Findings support that online coping is an important factor in understanding the relationship between genre-specific social media engagement and offline coping in health crises. SMHL is a crucial moderator for managing the effects of NE on mental health. The study recommends algorithmic awareness as an item of SMHL and rationalization of social media use as a crucial coping mechanism.


Anter, A. (2022). News/Entertainment Social Media Engagement and Social Media Health Literacy: Effects on Mental Health and Coping During COVID-19 Lockdown. Online Journal of Communication and Media Technologies, 12(4), e202244.


  • Ahmad, A. R., & Murad, H. R. (2020). The impact of social media on panic during the COVID-19 pandemic in Iraqi Kurdistan: Online questionnaire study. Journal of Medical Internet Research, 22(5), e19556.
  • Akcayoglu, D. I., & Daggol, G. D. (2019). A study on the perceived media literacy level of preparatory year students in a university setting. Contemporary Educational Technology, 10(4), 416-429.
  • Arik, E., & Arik, M. B. (2021). A meta analysis study for graduate thesis on media literacy in Turkey. Online Journal of Communication and Media Technologies, 11(4), e202121.
  • Baker, D. A., & Algorta, G. P. (2016). The relationship between online social networking and depression: A systematic review of quantitative studies. Cyberpsychology, Behavior, & Social Networking, 19(11), 638-648.
  • Ballew, M., Bergquist, P., Goldberg, M., Gustafson, A., Kotcher, J., Marlon, J., Roess, A., Rosenthal, S., Maibach, E., & Leiserowitz, A. (2020). Americans’ risk perceptions and emotional responses to COVID-19, April 2020. Yale Program on Climate Change Communication.
  • Berryman, C., Ferguson, C. J., & Negy, C. (2018). Social media use and mental health among young adults. Psychiatric Quarterly, 89(2), 307-314.
  • Bode, L., & Vraga, E. K. (2018). See something, say something: Correction of global health misinformation on social media. Health Communication, 33(9), 1131-1140.
  • Boukes, M. (2019). Infotainment. In T. P. Vos, & F. Hanusch (Eds.), The international encyclopedia of journalism studies. ICAZ/Wiley Blackwell.
  • Bryant, J., & Zillmann, D. (1984). Using television to alleviate boredom and stress: Selective exposure as a function of inducing excitational states. Journal of Broadcasting, 28, 1-20.
  • Carpentier, F. R. (2008). Sad kids, sad media? Applying mood management theory to depressed adolescents’ use of media. Media & Psychology, 11(1), 143-166.
  • Chao, R. C. L. (2011). Managing stress and maintaining well-being: Social support, problem-focused coping, and avoidant coping. Journal of Counseling Development, 89(3), 338-348.
  • Choi, M., & Toma, C. L. (2014). Social sharing through interpersonal media: Patterns and effects on emotional well-being. Computers in Human Behavior, 36, 530-541.
  • Coates, R., Sykora, M., & Jackson, T. (2019). Browsing to breathe: Social media for stress reduction. In Proceedings of the 52nd Hawaii International Conference on System Sciences (pp. 4221-4230). University of Hawai’i Press.
  • Cotten, S. R., Ford, G., Ford, S., & Hale, T. M. (2014). Internet use and depression among retired older adults in the united states: A longitudinal analysis. Journal of Gerontology B: Psychological Science & Social Sciences, 69(5), 763-771.
  • Craft, S., Ashley, S., & Maksl, A. (2017). News media literacy and conspiracy theory endorsement. Communication and the Public, 2(4), 388-401.
  • Drentea, P., Goldner, M., Cotten, S., & Hale, T. (2008). The association among gender, computer use and online health searching, and mental health. Information Communication and Society, 11(4), 509-525.
  • Duvenage, M., Correia, H., Uink, B., Barber, B. L., Donovan, C. L., & Modecki, K. L. (2020). Technology can sting when reality bites: Adolescents’ frequent online coping is ineffective with momentary stress. Computers in Human Behavior, 102, 248-259.
  • Dvir-Gvirsman, S. (2020). Understanding news engagement on social media: A media repertoire approach. New Media & Society, 24(8), 1791-1812.
  • Eden, A. L., Johnson, B. K., Reinecke, L., & Grady, S. M. (2020) Media for coping during COVID-19 social distancing: Stress, anxiety, and psychological well-being. Frontiers in Psychology, 11, 577639.
  • Fletcher, R., Kalogeropoulos, A., & Nielsen, R. K. (2020). News avoidance in the UK remains high as lockdown restrictions are eased. Reuters Institute for the Study of Journalism.
  • Freimuth, V., Linnan, H. W., & Potter, P. (2000). Communicating the threat of emerging infections to the public. Emerging Infectious Diseases, 6(4), 337-347.
  • Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., Wang, Y., Fu, H., & Dai, J. (2020). Mental health problems and social media exposure during COVID-19 outbreak. PLOS ONE, 15(4), e0231924.
  • Goldstein, J. H. (2017). Applied entertainment: Positive uses of entertainment media. In R. Nakatsu, M. Rauterberg, & P. Ciancarini (Eds.), Handbook of digital games and entertainment technologies (pp. 1247-1269). Springer.
  • Hampton, K. N. (2019). Social media and change in psychological distress over time: The role of social causation. Journal of Computer-Mediated Communication, 24(5), 205-222.
  • Han, X., Li, B., Qu, J., & Zhu, Q. (2018). Weibo friends with benefits for people live with HIV/AIDS? The implications of Weibo use for enacted social support, perceived social support and health outcomes. Social Science & Medicine, 211(1982), 157-163.
  • Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. The Guilford Press.
  • Hou, Y., Xiong, D., Jiang, T., Song, L., & Wang, Q. (2019). Social media addiction: Its impact, mediation, and intervention. Cyberpsychology, 13(1), 4.
  • Huang, C. (2017). Time spent on social network sites and psychological well-being: A meta- analysis. Cyberpsychology, Behavior, & Social Networking, 20(6), 346-354.
  • Hurley, L. N. (2018). The relationship between resilience, coping, and social media [Master’s thesis, Eastern Illinois University].
  • Ingledew, D. K., Hardy, L., Cooper, C. L., & Jemal, H. (2013). Health behaviors reported as coping strategies: A factor analytical study. In C. L. Cooper (Ed.), From stress to wellbeing. Palgrave Macmillan.
  • Kemp, S. (2020). Most important data on digital audiences during coronavirus. Growth Quarters.
  • Khan, M. L. (2017). Social media engagement: What motivates user participation and consumption on YouTube? Computers in Human Behavior, 66, 236-247.
  • Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610.
  • Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ‐9: Validity of a brief depression severity measure. Journal of General & Internal Medicine, 16(9), 606-613.
  • Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal and coping. Springer.
  • Leiner, M., Argus-Calvo, B., Peinado, J., Keller, L., & Blunk, D. I. (2014). Is there a need to modify existing coping scales to include using electronic media for coping in young people? Frontiers in Pediatrics, 2, 127.
  • Lemish, D., & Elias, N. (2020). “We decided we don’t want children. We will let them know tonight”: Parental humor on social media in a time of coronavirus pandemic. International Journal of Communication, 14(27), 5261-5287.
  • Levin-Zamir, D., & Bertschi, I. (2018). Media health literacy, eHealth literacy, and the role of the social environment in context. International Journal of Environmental Research and Public Health, 15(8), 1643.
  • Li, J., Zheng, H. (2020). Online information seeking and disease prevention intent during COVID-19 outbreak. Journalism & Mass Communication Quarterly, 99(1), 69-88.
  • Liu, J., & Tong, E. (2020). The relation between official WhatsApp-distributed COVID-19 news exposure and psychological symptoms: Cross-sectional survey study. Journal of Medical Internet Research, 22(9), e22142.
  • Livingstone, S. (2010). Media literacy and the challenge of new information and communication technologies. Communication Review, 7(1), 3-14.
  • Falavarjani, S. A. M, Zarrinkalam, F., Jovanovic, J., Bagheri, E., & Ghorbani, A. A. (2019). The reflection of off-line activities on users’ online social behavior: An observational study. Information Processing & Management, 56(6), 102070., 102070
  • McNaughton-Cassill, M. E. (2001). The news media and psychological distress. Anxiety, Stress, & Coping, 14(2), 193-211.
  • Mingoia, J., Hutchinson, A. D., Gleaves, D. H., & Wilson, C. (2020). Does better media literacy protect against the desire for tanned skin and propensity for making appearance comparisons? Social Media + Society, 6(1).
  • Nabi, R. L., Pérez Torres, D. P., & Prestin, A. (2017). Guilty pleasure no more. Media Psychology, 3(3), 126-136.
  • NapoleonCat. (2020). Facebook users in Egypt.
  • Nguyen, M. H., Gruber, J., Fuchs, J., Marler, W., Hunsaker, A., & Hargittai, E. (2020). Changes in digital communication during the COVID-19 global pandemic: Implications for digital inequality and future research. Social Media + Society, 6(3).
  • Nielsen, R. K., Kalogeropoulos, A., & Fletcher, R. (2020). Most in the UK say news media have helped them respond to COVID-19, but a third say news coverage has made the crisis worse. Reuters Institute for the Study of Journalism.
  • Norman, C. D., & Skinner, H. A. (2006). eHEALS: The eHealth literacy scale. Journal of Medical Internet Research, 8(4), e27.
  • Oh, S. H., Paek, H. J., & Hove, T. (2015). Cognitive and emotional dimensions of perceived risk characteristics, genre-specific media effects, and risk perceptions: The case of H1N1 influenza in South Korea. Asian Journal of Communication, 25(1), 14-32.
  • Olagoke, A. A., Olagoke, O. O., & Hughes, A. M. (2020). Exposure to coronavirus news on mainstream media: The role of risk perceptions and depression. British Journal of Health Psychology, 25(4), 865-874.
  • Oliver, M. B. (2003). Mood management and selective exposure. In J. Bryant, D. R. Roskos-Ewoldsen, & J. Cantor (Eds.), Communication and emotion: Essays in honor of Dolf Zillmann (pp. 85-106). Routledge Taylor & Francis Group.
  • Pew Research Center. (2020). As COVID-19 emerged in U.S., Facebook posts about It appeared in a wide range of public pages, groups.
  • Potts, R., & Sanchez, D. (1994). Television viewing and depression: No news is good news. Journal of Broadcast & Electronic Media, 38(1), 79-90.
  • Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42(1), 185-227.
  • Puterman, E., Delongis, A., Lee-Baggley, D., & Greenglass, E. (2009). Coping and health behaviors in times of global health crises: Lessons from SARS and West Nile. Global Public Health, 4(1), 69-81.
  • Reinecke, L. (2017). Mood management theory. In P. Rössler (Ed.), The international encyclopedia of media effects (pp. 1271-1284). Wiley-Blackwell.
  • Reinecke, L., Klatt, J., & Krämer, N. C. (2011). Entertaining media use and the satisfaction of recovery needs: Recovery outcomes associated with the use of interactive and noninteractive entertaining media. Media Psychology, 14(2), 192-215.
  • Rieger, D., Reinecke, L., Frischlich, L., & Bente, G. (2014). Media entertainment and well-being-linking hedonic and eudaimonic entertainment experience to media-induced recovery and vitality. Journal of Communication, 64(3), 456-478.
  • Rosen, B. L., Wheldon, C., Thompson, E. L., Maness, S., & Massey, P. M. (2020). Social media engagement association with human papillomavirus and vaccine awareness and perceptions: Results from the 2017 US health information national trends survey. Preventive Medicine, 138, 106151.
  • Schreurs, L., & Vandenbosch, L. (2020). Introducing the social media literacy (SMILE) model with the case of the positivity bias on social media. Journal of Children & Media, 15(3), 320-337.
  • Shao, G. (2009). Understanding the appeal of user-generated media: A uses and gratification perspective. Internet Research, 19(1). 7-25.
  • Spitzer, R. L., Kroenke, K., Williams, J. B., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine, 166(10), 1092-1097.
  • Statcounter. (2021). Social media stats Egypt.
  • Stevens, E. M., & Dillman Carpentier, F.R. (2015). Facing our feelings: How natural coping tendencies explain when hedonic motivation predicts media use. Communication Research, 44(1), 3-28.
  • Suls, J., & Fletcher, B. (1985). The relative efficacy of avoidant and nonavoidant coping strategies: A meta-analysis. Health Psychology, 4(3), 249-288.
  • Szabo, A., & Hopkinson, K. L. (2007). Negative psychological effects of watching the news in the television: Relaxation or another intervention may be needed to buffer them! International Journal of Behavioral Medicine, 14(2), 57-62.
  • Tamplin, N. C., McLean, S. A., & Paxton, S. J. (2018). Social media literacy protects against the negative impact of exposure to appearance ideal social media images in young adult women but not men. Body Image, 26, 29-37.
  • Tasnim, S., Hossain, M. M., & Mazumder, H. (2020). Impact of rumors and misinformation on COVID-19 in social media. Journal of Preventive Medicine & Public Health, 53(3), 171-174.
  • Thompson, R. R., Garfin, D. R., Holman, E. A., & Silver, R. C. (2017). Distress, worry, and functioning following a global health crisis: A national study of Americans’ responses to Ebola. Clinical Psychology & Society, 5(3), 513-521.
  • Tully, M., Vraga, E. K., & Bode, L. (2020). Designing and testing news literacy messages for social media. Mass Communication & Society, 23(1), 22-46.
  • Van der Vaart, R., van Deursen, A. J., Drossaert, C. H., Taal, E., van Dijk, J. A., & van de Laar, M. A. (2011). Does the eHealth literacy scale (eHEALS) measure what it intends to measure? Validation of a Dutch version of the eHEALS in two adult populations. Journal of Medical Internet Research, 13(4), e86.
  • van Ingen, E., Utz, S., & Toepoel, V. (2016). Online coping after negative life events: Measurement, prevalence, and relation with internet activities and well-being. Social Science Computing Review, 34(5), 511-529.
  • Vraga, E. K., & Tully, M. (2021). News literacy, social media behaviors, and skepticism toward information on social media. Information, Communication, & Society, 24(2), 150-166.
  • Watson, B. R. (2018). “A window into shock, pain, and attempted recovery”: A decade of blogging as a coping strategy in New Orleans. New Media & Society, 20(3), 1068-1084.
  • WHO. (2020a). An ad hoc WHO technical consultation managing the COVID-19 infodemic: Call for action, 7-8 April 2020. World Health Organization.
  • WHO. (2020b). Mental health and psychosocial considerations during the COVID-19 outbreak. World Health Organization.
  • Wolfers, L. N., & Schneider, F. M. (2020). Using media for coping: A scoping review. Communication Research, 48(8), 1210-1234.
  • Yeung, D. Y., & Fung, H. H. (2007). Age differences in coping and emotional responses toward SARS: A longitudinal study of Hong Kong Chinese. Aging & Mental Health, 11(5), 579-587.
  • Yin, X. Q., de Vries, D. A., Gentile, D. A., & Wang, J. L. (2019). Cultural background and measurement of usage moderate the association between social networking sites (SNSs) usage and mental health: A meta-analysis. Social Science Computing Review, 37(5), 631-648.
  • Zhang, Y., & Ma, Z. F. (2020). Impact of the COVID-19 pandemic on mental health and quality of life among local residents in Liaoning Province, China: A cross-sectional study. International Journal of Environmental Research and Public Health, 17(7), 2381.
  • Zhong, B., Huang, Y., & Liu, Q. (2021). Mental health toll from the coronavirus: Social media usage reveals Wuhan residents’ depression and secondary trauma in the COVID-19 outbreak. Computers in Human Behavior, 114, 106524.
  • Zillmann, D. (1988). Mood management: Using entertainment to full advantage. In L. Donohew, H. E. Sypher, & E. T. Higgins (Eds.), Communication, social cognition, and affect (pp. 147-171). Lawrence Erlbaum Associates.