Experience Pandemic Fatigue? Social Media Use May Play a Role: Testing a Model of Pandemic Fatigue Development from a Social Media Perspective

References

• Aaronson, L. S., Teel, C. S., Cassmeyer, V., Neuberger, G. B., Pallikkathayil, L., Pierce, J., Press, A. N., Williams, P. D., & Wingate, A. (1999). Defining and measuring fatigue. Journal of Nursing Scholarship, 31(1), 45–50. https://doi.org/10.1111/j.1547-5069.1999.tb00420.x
   Google Scholar
• Abramson, L. Y., Metalsky, G. I., & Alloy, L. B. (1989). Hopelessness depression: A theory-based subtype of depression. Psychological Review, 96(2), 358–372. https://doi.org/10.1037/0033-295X.96.2.358
   Web of Science ®Google Scholar
• Alhabash, S., & Ma, M. (2017). A tale of four platforms: Motivations and uses of Facebook, Twitter, Instagram, and Snapchat among college students? Social Media and Society, 3(1), 1–13. https://doi.org/10.1177/2056305117691544
   Web of Science ®Google Scholar
• Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411
   Web of Science ®Google Scholar
• Arbuckle, J. L. (2014). Amos 23.0 User’s guide. IBM SPSS.
   Google Scholar
• Bawden, D., Holtham, C., & Courtney, N. (1999). Perspectives on information overload. ASLIB Proceedings, 51(8), 249–255. https://doi.org/10.1108/EUM0000000006984
   Web of Science ®Google Scholar
• Bayer, J. B., Triêu, P., & Ellison, N. B. (2020). Social media elements, ecologies, and effects. Annual Review of Psychology, 71(1), 471–497. https://doi.org/10.1146/annurev-psych-010419-050944
   PubMed Web of Science ®Google Scholar
• Bollen, K. A. (1989). A new incremental fit index for general structural equation models. Sociological Methods & Research, 17(3), 303–316. https://doi.org/10.1177/0049124189017003004
   Web of Science ®Google Scholar
• Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13(1), 210–230. https://doi.org/10.1111/j.1083-6101.2007.00393.x
   Web of Science ®Google Scholar
• Brailovskaia, J., & Margraf, J. (2021). The relationship between burden caused by coronavirus (Covid-19), addictive social media use, sense of control and anxiety. Computers in Human Behavior, 119, 106720. https://doi.org/10.1016/j.chb.2021.106720
   PubMed Web of Science ®Google Scholar
• Brehm, J. W. (1966). A theory of psychological reactance. Academic Press.
   Google Scholar
• Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21(2), 230–258. https://doi.org/10.1177/0049124192021002005
   Web of Science ®Google Scholar
• Brzezinski, A., Kecht, V., Van Dijcke, D., & Wright, A. L. (2021). Science skepticism reduced compliance with COVID-19 shelter-in-place policies in the United States. Nature Human Behaviour, 5(11), 1519–1527. https://doi.org/10.1038/s41562-021-01227-0
   PubMed Web of Science ®Google Scholar
• Burgess, J., & Woodford, D. (2014). Content creation and curation. The International Encyclopedia of Digital Communication and Society, 1–6. https://doi.org/10.1002/9781118767771.wbiedcs112
   Google Scholar
• Burke, M., Kraut, R., & Marlow, C. (2011). Social capital on Facebook: Differentiating uses and users. In Conference on Human Factors in Computing Systems - Proceedings (pp. 571–580). https://doi.org/10.1145/1978942.1979023
   Google Scholar
• Burke, M., Marlow, C., & Lento, T. (2010). Social network activity and social well-being. In Conference on Human Factors in Computing Systems - Proceedings (pp. 1909–1912). https://doi.org/10.1145/1753326.1753613
   Google Scholar
• Callaway, E. (2022). Why does the Omicron sub-variant spread faster than the original. Nature, 602(7898), 556–557. https://doi.org/10.1038/d41586-022-00471-2
   PubMedGoogle Scholar
• Carpenito, L. J. (1995). Nursing care plans and documentation. Nursing diagnoses and collaborative problems (2nd ed.). JB Lippincot Company.
   Google Scholar
• Caycho-Rodríguez, T., Ventura-León, J., Valencia, P. D., Vilca, L. W., Carbajal-León, C., Reyes-Bossio, M., Delgado-Campusano, M., Rojas-Jara, C., Polanco-Carrasco, R., Gallegos, M., & Cervigni, M. (2022). Network analysis of the relationships between conspiracy beliefs towards COVID-19 vaccine and symptoms of fear of COVID-19 in a sample of Latin American countries. Current Psychology, 1–16. https://doi.org/10.1007/s12144-022-03622-w
   Web of Science ®Google Scholar
• Charumilind, S., Craven, M., Lamb, J., & Wilson, M. (2020). When will the COVID-19 pandemic end?. McKinsey & Company. https://www.mckinsey.com/industries/healthcare-systems-and-services/our-insights/when-will-the-covid-19-pandemic-end
   Google Scholar
• Chen, A., Lu, Y., Chau, P. Y. K., & Gupta, S. (2014). Classifying, measuring, and predicting users’ overall active behavior on social networking sites. Journal of Management Information Systems, 31(3), 213–253. https://doi.org/10.1080/07421222.2014.995557
   Web of Science ®Google Scholar
• Cho, H., & Salmon, C. T. (2007). Unintended effects of health communication campaigns. The Journal of Communication, 57(2), 293–317. https://doi.org/10.1111/j.1460-2466.2007.00344.x
   Web of Science ®Google Scholar
• Cleofas, J. V., & Oducado, R. M. F. (2021). Optimistic but tired of hearing about COVID: Optimism as a predictor of COVID-19 information and behavioral fatigue among Filipino youth. The Social Science Journal, 1–11. https://doi.org/10.1080/03623319.2021.1986300
   Web of Science ®Google Scholar
• Dhir, A., Yossatorn, Y., Kaur, P., & Chen, S. (2018). Online social media fatigue and psychological wellbeing—a study of compulsive use, fear of missing out, fatigue, anxiety and depression. International Journal of Information Management, 40, 141–152. https://doi.org/10.1016/j.ijinfomgt.2018.01.012
   Web of Science ®Google Scholar
• Dillard, J. P., & Peck, E. (2001). Persuasion and the structure of affect. Dual systems and discrete emotions as complementary models. Human Communication Research, 27(1), 38–68. https://doi.org/10.1093/hcr/27.1.38
   Web of Science ®Google Scholar
• Dillard, J. P., & Shen, L. (2005). On the nature of reactance and its role in persuasive health communication. Communication Monographs, 72(2), 144–168. https://doi.org/10.1080/03637750500111815
   Web of Science ®Google Scholar
• Eppler, M. J., & Mengis, J. (2004). The concept of information overload: A review of literature from organization science, accounting, marketing, MIS, and related disciplines. Information Society, 20(5), 325–344. https://doi.org/10.1080/01972240490507974
   Web of Science ®Google Scholar
• Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G*power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. https://doi.org/10.3758/BF03193146
   PubMed Web of Science ®Google Scholar
• Feeney, B. C., & Collins, N. L. (2015). A new look at social support: A theoretical perspective on thriving through relationships. Personality and Social Psychology Review, 19(2), 113–147. https://doi.org/10.1177/1088868314544222
   PubMed Web of Science ®Google Scholar
• Ford, J. L., Douglas, M., & Barrett, A. K. (2022). The role of pandemic fatigue in seeking and avoiding information on COVID-19 among young adults. Health Communication, 1–14. https://doi.org/10.1080/10410236.2022.2069211
   PubMed Web of Science ®Google Scholar
• Franza, F., Basta, R., Pellegrino, F., Solomita, B., & Fasano, V. (2020). The role of fatigue of compassion, burnout and hopelessness in healthcare: Experience in the time of Covid-19 Outbreak. Psychiatria Danubina, 32(suppl. 1), 10–14.
   PubMedGoogle Scholar
• Frison, E., & Eggermont, S. (2016). Exploring the relationships between different types of Facebook use, perceived online social support, and adolescents’ depressed mood. Social Science Computer Review, 34(2), 153–171. https://doi.org/10.1177/0894439314567449
   Web of Science ®Google Scholar
• Gerson, J., Plagnol, A. C., & Corr, P. J. (2017). Passive and active Facebook use measure (PAUM): Validation and relationship to the reinforcement sensitivity theory. Personality and Individual Differences, 117, 81–90. https://doi.org/10.1016/j.paid.2017.05.034
   Web of Science ®Google Scholar
• Graf, B., & Antoni, C. H. (2021). A meta-analysis on the relation between information overload, behavior, and experience. Academy of Management Proceedings, 2021(1), 14954. https://doi.org/10.5465/ambpp.2021.14954abstract
   Google Scholar
• Guan, M., Li, Y., Scoles, J. D., & Zhu, Y. (2022). COVID-19 message fatigue: How does it predict preventive behavioral intentions and what types of information are people tired of hearing about? Health Communication, 1–10. https://doi.org/10.1080/10410236.2021.2023385
   Web of Science ®Google Scholar
• Haktanir, A., Can, N., Seki, T., Kurnaz, M. F., & Dilmaç, B. (2021). Do we experience pandemic fatigue? Current state, predictors, and prevention. Current Psychology, 41(10), 1–12. https://doi.org/10.1007/s12144-021-02397-w
   Web of Science ®Google Scholar
• Hann, D. M., Jacobsen, P. B., Azzarello, L. M., Martin, S. C., Curran, S. L., Fields, K. K., Greenberg, H., & Lyman, G. (1998). Measurement of fatigue in cancer patients: Development and validation of the Fatigue Symptom Inventory. Quality of Life Research, 7(4), 301–310. https://doi.org/10.1023/A:1008842517972
   PubMed Web of Science ®Google Scholar
• Harmon, J. L., Barroso, J., Pence, B. W., Leserman, J., & Salahuddin, N. (2008). Demographic and illness-related variables associated with HIV-related fatigue. Journal of the Association of Nurses in AIDS Care, 19(2), 90–97. https://doi.org/10.1016/j.jana.2007.08.005
   PubMed Web of Science ®Google Scholar
• Harvey, N. (2020). Behavioral fatigue: Real phenomenon, naïve construct, or policy contrivance? Frontiers in Psychology, 11, 2960. https://doi.org/10.3389/fpsyg.2020.589892
   Web of Science ®Google Scholar
• Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis, second edition: A regression-based approach. The Guilford Press.
   Google Scholar
• Holton, A. E., & Chyi, H. I. (2012). News and the overloaded consumer: Factors influencing information overload among news consumers. Cyberpsychology, Behavior and Social Networking, 15(11), 619–624. https://doi.org/10.1089/cyber.2011.0610
   PubMed Web of Science ®Google Scholar
• Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
   Web of Science ®Google Scholar
• IBM Corp. (2016). IBM SPSS Statistics for Windows, Version 24.0. IBM Corp.
   Google Scholar
• Jia, X., Ahn, S., & Carcioppolo, N. (2022). Measuring information overload and message fatigue toward COVID-19 prevention messages in USA and China. Health Promotion International. https://doi.org/10.1093/heapro/daac003
   Web of Science ®Google Scholar
• Jørgensen, F., Bor, A., Lindholt, M. F., & Petersen, M. B. (2021). Public support for government responses against COVID-19: Assessing levels and predictors in eight Western democracies during 2020. West European Politics, 44(5–6), 1129–1158. https://doi.org/10.1080/01402382.2021.1925821
   Web of Science ®Google Scholar
• Kim, S., & So, J. (2018). How message fatigue toward health messages leads to ineffective persuasive outcomes: Examining the mediating roles of reactance and inattention. Journal of Health Communication, 23(1), 109–116. https://doi.org/10.1080/10810730.2017.1414900
   PubMed Web of Science ®Google Scholar
• Kinnick, K. N., Krugman, D. M., & Cameron, G. T. (1996). Compassion fatigue: Communication and burnout toward social problems. Journalism and Mass Communication Quaterly, 73(3), 687–707. https://doi.org/10.1177/107769909607300314
   Web of Science ®Google Scholar
• Kreps, S., Dasgupta, N., Brownstein, J. S., Hswen, Y., & Kriner, D. L. (2021). Public attitudes toward COVID-19 vaccination: The role of vaccine attributes, incentives, and misinformation. npj Vaccines, 6(1), 1–7. https://doi.org/10.1038/s41541-021-00335-2
   PubMed Web of Science ®Google Scholar
• Larson, H. J. (2018). The biggest pandemic risk? Viral misinformation. Nature, 562(7726), 309–310. https://doi.org/10.1038/d41586-018-07034-4
   PubMed Web of Science ®Google Scholar
• Lazarsfeld, P. F., & Merton, R. K. (1951). Mass communication, popular taste, and organized social action. In L. Bryson (Ed.), The communication of ideas (pp. 95–118). Harper & Row.
   Google Scholar
• Lee, K. A., Hicks, G., & Nino-Murcia, G. (1991). Validity and reliability of a scale to assess fatigue. Psychiatry Research, 36(3), 291–298. https://doi.org/10.1016/0165-1781(91)90027-M
   PubMed Web of Science ®Google Scholar
• Lee, A. R., Son, S. M., & Kim, K. K. (2016). Information and communication technology overload and social networking service fatigue: A stress perspective. Computers in Human Behavior, 55, 51–61. https://doi.org/10.1016/j.chb.2015.08.011
   Web of Science ®Google Scholar
• Lilleholt, L., Zettler, I., Betsch, C., & Böhm, R. (2020). Pandemic fatigue: Measurement, correlates, and consequences. PsyArxiv preprints. https://doi.org/10.31234/osf.io/2xvbr
   Google Scholar
• Marinucci, M., Pancani, L., Aureli, N., & Riva, P. (2022). Online social connections as surrogates of face-to-face interactions: A longitudinal study under Covid-19 isolation. Computers in Human Behavior, 128, 107102. https://doi.org/10.1016/j.chb.2021.107102
   Web of Science ®Google Scholar
• Martinez-Garcia, M., Rabasa, A., Barber, X., Polotskaya, K., Roomp, K., & Oliver, N. (2021). Key factors affecting people’s unwillingness to be confined during the COVID-19 pandemic in Spain: A large-scale population study. Scientific Reports, 11(1), 1–18. https://doi.org/10.1038/s41598-021-97645-1
   PubMed Web of Science ®Google Scholar
• Michie, S., West, R., & Harvey, N. (2020). The concept of “fatigue” in tackling covid-19. The BMJ, 371, m4171. https://doi.org/10.1136/bmj.m4171
   PubMedGoogle Scholar
• Mohammed, M., Sha’Aban, A., Jatau, A. I., Yunusa, I., Isa, A. M., Wada, A. S., Obamiro, K., Zainal, H., & Ibrahim, B. (2022). Assessment of COVID-19 information overload among the general public. Journal of Racial and Ethnic Health Disparities, 9(1), 184–192. https://doi.org/10.1007/s40615-020-00942-0
   PubMed Web of Science ®Google Scholar
• Moran, P. (2020). Social media: A pandemic of misinformation. The American Journal of Medicine, 133(11), 1247. https://doi.org/10.1016/j.amjmed.2020.05.021
   PubMed Web of Science ®Google Scholar
• Morgul, E., Bener, A., Atak, M., Akyel, S., Aktaş, S., Bhugra, D., Ventriglio, A., & Jordan, T. R. (2021). COVID-19 pandemic and psychological fatigue in Turkey. The International Journal of Social Psychiatry, 67(2), 128–135. https://doi.org/10.1177/0020764020941889
   PubMed Web of Science ®Google Scholar
• Moyer-Gusé, E., & Nabi, R. L. (2010). Explaining the effects of narrative in an entertainment television program: Overcoming resistance to persuasion. Human Communication Research, 36(1), 26–52. https://doi.org/10.1111/j.1468-2958.2009.01367.x
   Web of Science ®Google Scholar
• Nikolaus, S., Bode, C., Taal, E., & Van De Laar, M. A. F. J. (2013). Fatigue and factors related to fatigue in rheumatoid arthritis: A systematic review. Arthritis Care & Research, 65(7), 1128–1146. https://doi.org/10.1002/acr.21949
   Web of Science ®Google Scholar
• Park, C. S. (2019). Does too much news on social media discourage news seeking? Mediating role of news efficacy between perceived news overload and news avoidance on social media. Social Media and Society, 5(3), 2056305119872956. https://doi.org/10.1177/2056305119872956
   Web of Science ®Google Scholar
• Pavelea, A. M., Neamțu, B., & Pavel, A. (2021). Do social media reduce compliance with COVID-19 preventive measures? Policy Studies, 43(5), 1156–1171. https://doi.org/10.1080/01442872.2021.2000595
   Web of Science ®Google Scholar
• Petherick, A., Goldszmidt, R., Andrade, E. B., Furst, R., Hale, T., Pott, A., & Wood, A. (2021). A worldwide assessment of changes in adherence to COVID-19 protective behaviours and hypothesized pandemic fatigue. Nature Human Behaviour, 5(9), 1145–1160. https://doi.org/10.1038/s41562-021-01181-x
   PubMed Web of Science ®Google Scholar
• Procidano, M. E., & Heller, K. (1983). Measures of perceived social support from friends and from family: Three validation studies. American Journal of Community Psychology, 11(1), 1–24. https://doi.org/10.1007/BF00898416
   PubMed Web of Science ®Google Scholar
• Queen, D., & Harding, K. (2020). Societal pandemic burnout: A COVID legacy. International Wound Journal, 17(4), 873. https://doi.org/10.1111/iwj.13441
   PubMed Web of Science ®Google Scholar
• Rains, S. A. (2013). The nature of psychological reactance revisited: A meta-analytic review. Human Communication Research, 39(1), 47–73. https://doi.org/10.1111/j.1468-2958.2012.01443.x
   Web of Science ®Google Scholar
• Rathore, F. A., & Farooq, F. (2020). Information overload and infodemic in the COVID-19 pandemic. Journal of the Pakistan Medical Association, 70(5), 162–165. https://doi.org/10.5455/JPMA.38
   PubMed Web of Science ®Google Scholar
• Seo, M., Kim, J., & Yang, H. (2016). Frequent interaction and fast feedback predict perceived social support: Using crawled and self-reported data of Facebook users. Journal of Computer-Mediated Communication, 21(4), 282–297. https://doi.org/10.1111/jcc4.12160
   Web of Science ®Google Scholar
• So, J. (2021). Counterproductive effects of overfamiliar antitobacco messages on smoking cessation intentions via message fatigue and resistance to persuasion. Psychology of Addictive Behaviors. https://doi.org/10.1037/adb0000776
   PubMed Web of Science ®Google Scholar
• Stuart, J., O’Donnell, K., O’Donnell, A., Scott, R., & Barber, B. (2021). Online social connection as a buffer of health anxiety and isolation during COVID-19. Cyberpsychology, Behavior and Social Networking, 24(8), 521–525. https://doi.org/10.1089/cyber.2020.0645
   PubMed Web of Science ®Google Scholar
• Thomas, F. (2006). Stigma, fatigue and social breakdown: Exploring the impacts of HIV/AIDS on patient and carer well-being in the Caprivi Region, Namibia. Social Science & Medicine, 63(12), 3174–3187. https://doi.org/10.1016/j.socscimed.2006.08.016
   PubMed Web of Science ®Google Scholar
• Tsao, S. F., Chen, H., Tisseverasinghe, T., Yang, Y., Li, L., & Butt, Z. A. (2021). What social media told us in the time of COVID-19: A scoping review. Lancet Digital Health, 3(3), e175–194. https://doi.org/10.1016/S2589-7500(20)30315-0
   PubMedGoogle Scholar
• Welter, V. D. E., Welter, N. G. E., & Großschedl, J. (2021). Experience and health‐related behavior in times of the corona crisis in Germany: An exploratory psychological survey considering the identification of compliance‐enhancing strategies. International Journal of Environmental Research and Public Health, 18(3), 933. https://doi.org/10.3390/ijerph18030933
   PubMed Web of Science ®Google Scholar
• Wiederhold, B. K. (2020). Using social media to our advantage: Alleviating anxiety during a pandemic. Cyberpsychology, Behavior and Social Networking, 23(4), 197–198. https://doi.org/10.1089/cyber.2020.29180.bkw
   PubMed Web of Science ®Google Scholar
• Williams, S. N., Armitage, C. J., Tampe, T., & Dienes, K. A. (2021). Public perceptions of non-adherence to pandemic protection measures by self and others: A study of COVID-19 in the United Kingdom. PLoS One, 16(10), e0258781. https://doi.org/10.1371/journal.pone.0258781
   PubMed Web of Science ®Google Scholar
• World Health Organization. (2022, May 5). Weekly epidemiological update on COVID-19 - 4 May 2022. https://www.who.int/publications/m/item/weekly-epidemiological-update-on-covid-19—4-may-2022
   Google Scholar
• Yang, C. C., Tsai, J. Y., & Pan, S. (2020). Discrimination and well-being among Asians/Asian Americans during COVID-19: The role of social media. Cyberpsychology, Behavior and Social Networking, 23(12), 865–870. https://doi.org/10.1089/cyber.2020.0394
   PubMed Web of Science ®Google Scholar
• Zuo, B., Yang, K., Yao, Y., Han, S., Nie, S., & Wen, F. (2021). The relationship of perceived social support to feelings of hopelessness under COVID-19 pandemic: The effects of epidemic risk and meaning in life. Personality and Individual Differences, 183, 111110. https://doi.org/10.1016/j.paid.2021.111110
   PubMed Web of Science ®Google Scholar