資通訊技術的發達，改變人們取得資訊方式，社群媒體已逐漸取代傳統媒體的角色，在COVID-19疫情期間，利用社群媒體的傳播效率，可讓疫情資訊迅速傳播，但同時伴隨錯誤資訊也大量傳遞的風險，正確且適當的資訊，可有助於促進遵循防疫規定之意願。
經整理疫情相關資訊之研究，將常見之傳播內容進行分類，並參考期刊論文之內容制訂問卷，以橫斷式研究，透過社群媒體進行問卷調查，探究影響遵循防疫規定行為意願之因素。
結果發現疫情威脅認知、疫情資訊瞭解程度、親友訊息與情感支持、政府與社會支持等四個構面，對遵循防疫規定具相關性，在疫情迅速突變且持續影響下，妥善運用並傳達這些資訊，將可降低對正常生活之衝擊，促使民眾更加遵循防疫規定。

Development of information and communication technology, changing the way people access to information. Social media has gradually taken over the role of traditional media. During the COVID-19 outbreak, the efficiency of social media dissemination allowed the outbreak information to spread quickly, but at the same time there was a significant risk of misinformation being transmitted. Correct and appropriate information can help promote a willingness to comply with epidemic prevention principles.
Through organizing the research of the relevant information of the epidemic, the common communication content is classified and the questionnaire is formulated with reference to the journal papers. Using cross-sectional study, a questionnaire survey conducted through social media to explore the factors affecting epidemic prevention principles the willing of behavior.
The results found that four dimensions: awareness of the epidemic threat, understanding of epidemic information, information and emotional support from relatives and friends, and government and social support are relevant for compliance with epidemic prevention principles. Under the rapid mutations and sustained impact of the epidemic, the proper use and transmission of this information will reduce the impact on normal life and encourage the people to follow the epidemic prevention principles more closely.

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. J Med Internet Res, 22(5), e19556. https://doi.org/10.2196/19556
Al-Hasan, A., Khuntia, J., & Yim, D. (2020). Threat, Coping, and Social Distance Adherence During COVID-19: Cross-Continental Comparison Using an Online Cross-Sectional Survey. J Med Internet Res, 22(11), e23019. https://doi.org/10.2196/23019
Barnes, S. J. (2020). Information management research and practice in the post-COVID-19 world. Int J Inf Manage, 55, 102175. https://doi.org/10.1016/j.ijinfomgt.2020.102175
Bavel, J. J. V., Baicker, K., Boggio, P. S., Capraro, V., Cichocka, A., Cikara, M., Crockett, M. J., Crum, A. J., Douglas, K. M., Druckman, J. N., Drury, J., Dube, O., Ellemers, N., Finkel, E. J., Fowler, J. H., Gelfand, M., Han, S., Haslam, S. A., Jetten, J., Kitayama, S., Mobbs, D., Napper, L. E., Packer, D. J., Pennycook, G., Peters, E., Petty, R. E., Rand, D. G., Reicher, S. D., Schnall, S., Shariff, A., Skitka, L. J., Smith, S. S., Sunstein, C. R., Tabri, N., Tucker, J. A., Linden, S. v. d., Lange, P. v., Weeden, K. A., Wohl, M. J. A., Zaki, J., Zion, S. R., & Willer, R. (2020). Using social and behavioural science to support COVID-19 pandemic response. Nature Human Behaviour, 4(5), 460-471. https://doi.org/10.1038/s41562-020-0884-z
Block, P., Hoffman, M., Raabe, I. J., Dowd, J. B., Rahal, C., Kashyap, R., & Mills, M. C. (2020). Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world. Nat Hum Behav, 4(6), 588-596. https://doi.org/10.1038/s41562-020-0898-6
Brewer, L. C., Asiedu, G. B., Jones, C., Richard, M., Erickson, J., Weis, J., Abbenyi, A., Brockman, T. A., Sia, I. G., Wieland, M. L., White, R. O., & Doubeni, C. A. (2020). Emergency Preparedness and Risk Communication Among African American Churches: Leveraging a Community-Based Participatory Research Partnership COVID-19 Initiative. Prev Chronic Dis, 17, E158. https://doi.org/10.5888/pcd17.200408
Bunker, D. (2020). Who do you trust? The digital destruction of shared situational awareness and the COVID-19 infodemic. Int J Inf Manage, 55, 102201. https://doi.org/10.1016/j.ijinfomgt.2020.102201
Canning, D., Karra, M., Dayalu, R., Guo, M., & Bloom, D. E. (2020). The association between age, COVID-19 symptoms, and social distancing behavior in the United States. medRxiv. https://doi.org/10.1101/2020.04.19.20065219
Champion, V. L., & Skinner, C. S. (2008). The health belief model. In Health behavior and health education: Theory, research, and practice, 4th ed. (pp. 45-65). Jossey-Bass.
Chen, C. F., Tsai, T. Y., Yu, C. H., Cheng, H. L., & Yeh, T. Y. (2020). Prolonged viral shedding and new mutations of COVID-19 could complicate the control of the pandemic. Access Microbiol, 2(7), acmi000133. https://doi.org/10.1099/acmi.0.000133
Chen, S. C. (2021). Taiwan's experience in fighting COVID-19. Nat Immunol, 22(4), 393-394. https://doi.org/10.1038/s41590-021-00908-2
Constantinou, C. S. (2020). “People Have to Comply with the Measures”: Covid-19 in “Risk Society”. Journal of Applied Social Science. https://doi.org/10.1177/1936724420980374
Danaei, A., & Sadat Sanei, N. (2019). The effect of health-related messages on the behavior of social network audiences according to attention, interest, desire, action model. Journal of Research & Health, 525-532. https://doi.org/10.32598/jrh.9.6.525
De Vaus, J., Hornsey, M. J., Kuppens, P., & Bastian, B. (2017). Exploring the East-West Divide in Prevalence of Affective Disorder: A Case for Cultural Differences in Coping With Negative Emotion. Personality and Social Psychology Review, 22(3), 285-304. https://doi.org/10.1177/1088868317736222
Depoux, A., Martin, S., Karafillakis, E., Preet, R., Wilder-Smith, A., & Larson, H. (2020). The pandemic of social media panic travels faster than the COVID-19 outbreak. J Travel Med, 27(3). https://doi.org/10.1093/jtm/taaa031
Directorate General of Budget, A. a. S., Executive Yuan,. (2020). Report on the Survey of Family Income and Expenditure, 2019. Directorate General of Budget, Accounting and Statistics, Executive Yuan,. Retrieved May 23rd, 2021 from https://win.dgbas.gov.tw/fies/doc/result/108.pdf
Dong, E., Du, H., & Gardner, L. (2020). An interactive web-based dashboard to track COVID-19 in real time. The Lancet Infectious Diseases, 20(5), 533-534. https://doi.org/10.1016/s1473-3099(20)30120-1
Doyle, R., & Conboy, K. (2020). The role of IS in the covid-19 pandemic: A liquid-modern perspective. Int J Inf Manage, 55, 102184. https://doi.org/10.1016/j.ijinfomgt.2020.102184
Dwivedi, Y. K., Hughes, D. L., Coombs, C., Constantiou, I., Duan, Y., Edwards, J. S., Gupta, B., Lal, B., Misra, S., Prashant, P., Raman, R., Rana, N. P., Sharma, S. K., & Upadhyay, N. (2020). Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life. International Journal of Information Management, 55. https://doi.org/10.1016/j.ijinfomgt.2020.102211
Fahey, R. A., & Hino, A. (2020). COVID-19, digital privacy, and the social limits on data-focused public health responses. Int J Inf Manage, 55, 102181. https://doi.org/10.1016/j.ijinfomgt.2020.102181
Freitas, A. R. R., Napimoga, M., & Donalisio, M. R. (2020). Assessing the severity of COVID-19. Epidemiol Serv Saude, 29(2), e2020119. https://doi.org/10.5123/S1679-49742020000200008 (Analise da gravidade da pandemia de Covid-19.)
Galea, S., Merchant, R. M., & Lurie, N. (2020). The Mental Health Consequences of COVID-19 and Physical Distancing: The Need for Prevention and Early Intervention. JAMA Intern Med, 180(6), 817-818. https://doi.org/10.1001/jamainternmed.2020.1562
Garcia, T., Massoni, S., & Villeval, M. C. (2020). Ambiguity and excuse-driven behavior in charitable giving. European Economic Review, 124(C). https://doi.org/10.1016/j.euroecorev.2020 (European Economic Review)
Gesualdo, F., Romano, M., Pandolfi, E., Rizzo, C., Rava, L., Lucente, D., & Tozzi, A. E. (2010). Surfing the web during pandemic flu: availability of World Health Organization recommendations on prevention. BMC Public Health, 10, 561. https://doi.org/10.1186/1471-2458-10-561
Gilpin, E. A., Pierce, J. P., & Farkas, A. J. (1997). Duration of smoking abstinence and success in quitting. J Natl Cancer Inst, 89(8), 572-576. https://doi.org/10.1093/jnci/89.8.572
Gino, F., Norton, M. I., & Weber, R. A. (2016). Motivated Bayesians: Feeling Moral While Acting Egoistically. Journal of Economic Perspectives, 30(3), 189-212. https://doi.org/10.1257/jep.30.3.189
Habersaat, K. B., Betsch, C., Danchin, M., Sunstein, C. R., Bohm, R., Falk, A., Brewer, N. T., Omer, S. B., Scherzer, M., Sah, S., Fischer, E. F., Scheel, A. E., Fancourt, D., Kitayama, S., Dube, E., Leask, J., Dutta, M., MacDonald, N. E., Temkina, A., Lieberoth, A., Jackson, M., Lewandowsky, S., Seale, H., Fietje, N., Schmid, P., Gelfand, M., Korn, L., Eitze, S., Felgendreff, L., Sprengholz, P., Salvi, C., & Butler, R. (2020). Ten considerations for effectively managing the COVID-19 transition. Nat Hum Behav, 4(7), 677-687. https://doi.org/10.1038/s41562-020-0906-x
Hills, S., & Eraso, Y. (2021). Factors associated with non-adherence to social distancing rules during the COVID-19 pandemic: a logistic regression analysis. BMC Public Health, 21(1), 352. https://doi.org/10.1186/s12889-021-10379-7
Hossain, M. P., Junus, A., Zhu, X., Jia, P., Wen, T.-H., Pfeiffer, D., & Yuan, H.-Y. (2020). The effects of border control and quarantine measures on the spread of COVID-19. Epidemics, 32, 100397. https://doi.org/https://doi.org/10.1016/j.epidem.2020.100397
Hyland-Wood, B., Gardner, J., Leask, J., & Ecker, U. K. H. (2021). Toward effective government communication strategies in the era of COVID-19. Humanities and Social Sciences Communications, 8(1), 30. https://doi.org/10.1057/s41599-020-00701-w
Khan, M. L., & Idris, I. K. (2019). Recognise misinformation and verify before sharing: a reasoned action and information literacy perspective. Behaviour & Information Technology, 38(12), 1194-1212. https://doi.org/10.1080/0144929x.2019.1578828
Laato, S., Islam, A. K. M. N., Islam, M. N., & Whelan, E. (2020). What drives unverified information sharing and cyberchondria during the COVID-19 pandemic? European Journal of Information Systems, 29(3), 288-305. https://doi.org/10.1080/0960085x.2020.1770632
Li, H. O., Bailey, A., Huynh, D., & Chan, J. (2020). YouTube as a source of information on COVID-19: a pandemic of misinformation? BMJ Glob Health, 5(5). https://doi.org/10.1136/bmjgh-2020-002604
Li, J., & Zheng, H. (2020). Online InformationSeeking and Disease Prevention Intent During COVID-19 Outbreak. Journalism & Mass Communication Quarterly. https://doi.org/10.1177/1077699020961518
Lim, N. (2016). Cultural differences in emotion: East-West differences in emotional arousal level. Integrative Medicine Research, 5. https://doi.org/10.1016/j.imr.2016.03.004
Liu, P. L., & Huang, L. V. (2020). Digital Disinformation About COVID-19 and the Third-Person Effect: Examining the Channel Differences and Negative Emotional Outcomes. Cyberpsychol Behav Soc Netw, 23(11), 789-793. https://doi.org/10.1089/cyber.2020.0363
Miniwatts Marketing Group. (2020). Internet World Stats usage and population statistics. Miniwatts Marketing Group,. Retrieved Dec 21st from https://www.internetworldstats.com/stats3.htm#asia
Moorthy, V., Henao Restrepo, A. M., Preziosi, M. P., & Swaminathan, S. (2020). Data sharing for novel coronavirus (COVID-19). Bull World Health Organ, 98(3), 150. https://doi.org/10.2471/BLT.20.251561
Nabity-Grover, T., Cheung, C. M. K., & Thatcher, J. B. (2020). Inside out and outside in: How the COVID-19 pandemic affects self-disclosure on social media. Int J Inf Manage, 55, 102188. https://doi.org/10.1016/j.ijinfomgt.2020.102188
Nguyen, N. P. T., Hoang, T. D., Tran, V. T., Vu, C. T., Siewe Fodjo, J. N., Colebunders, R., Dunne, M. P., & Vo, T. V. (2020). Preventive behavior of Vietnamese people in response to the COVID-19 pandemic. PLoS One, 15(9), e0238830. https://doi.org/10.1371/journal.pone.0238830
Norman, P., Boer, H., & Seydel, E. R. (2005). Protection motivation theory. In M. Conner & P. Norman (Eds.), Predicting Health Behaviour: Research and Practice with Social Cognition Models (pp. 81-126). Open University Press.
Nunnally, J. C., & Nunnaly, J. C. (1978). Psychometric Theory. McGraw-Hill. https://books.google.com.tw/books?id=arJqAAAAMAAJ
Okabe-Miyamoto, K., Folk, D., Lyubomirsky, S., & Dunn, E. W. (2021). Changes in social connection during COVID-19 social distancing: It’s not (household) size that matters, it’s who you’re with. PLoS One, 16(1), e0245009. https://doi.org/10.1371/journal.pone.0245009
Oosterhoff, B., & Palmer, C. A. (2020). Attitudes and Psychological Factors Associated With News Monitoring, Social Distancing, Disinfecting, and Hoarding Behaviors Among US Adolescents During the Coronavirus Disease 2019 Pandemic. JAMA Pediatr. https://doi.org/10.1001/jamapediatrics.2020.1876
Paykani, T., Zimet, G. D., Esmaeili, R., Khajedaluee, A. R., & Khajedaluee, M. (2020). Perceived social support and compliance with stay-at-home orders during the COVID-19 outbreak: evidence from Iran. BMC Public Health, 20(1), 1650. https://doi.org/10.1186/s12889-020-09759-2
Petersen, M. B., Bor, A., Jorgensen, F., & Lindholt, M. F. (2021). Transparent communication about negative features of COVID-19 vaccines decreases acceptance but increases trust. Proc Natl Acad Sci U S A, 118(29). https://doi.org/10.1073/pnas.2024597118
Peterson, R. (1994). A Meta-Analysis of Cronbach's Coefficient Alpha. Journal of Consumer Research, 21, 381-391. https://doi.org/10.1086/209405
Pietromonaco, P. R., & Collins, N. L. (2017). Interpersonal mechanisms linking close relationships to health. The American psychologist, 72(6), 531-542. https://doi.org/10.1037/amp0000129
Pinquart, M., & Sörensen, S. (2000). Influences of Socioeconomic Status, Social Network, and Competence on Subjective Well-Being in Later Life: A Meta-Analysis. Psychology and aging, 15, 187-224. https://doi.org/10.1037/0882-7974.15.2.187
Reed, C., Biggerstaff, M., Finelli, L., Koonin, L. M., Beauvais, D., Uzicanin, A., Plummer, A., Bresee, J., Redd, S. C., & Jernigan, D. B. (2013). Novel framework for assessing epidemiologic effects of influenza epidemics and pandemics. Emerg Infect Dis, 19(1), 85-91. https://doi.org/10.3201/eid1901.120124
Rohan Durugkar. (2016). Three and a half degrees of separation. Facebook Research,. Retrieved May 24th, 2021 from https://www.it.lut.fi/wiki/lib/exe/fetch.php/courses/ct60a7000/spring2016/critical/degrees.pdf
Saha, K., Torous, J., Caine, E. D., & De Choudhury, M. (2020). Psychosocial Effects of the COVID-19 Pandemic: Large-scale Quasi-Experimental Study on Social Media. J Med Internet Res, 22(11), e22600. https://doi.org/10.2196/22600
Sallam, M., Dababseh, D., Yaseen, A., Al-Haidar, A., Taim, D., Eid, H., Ababneh, N. A., Bakri, F. G., & Mahafzah, A. (2020). COVID-19 misinformation: Mere harmless delusions or much more? A knowledge and attitude cross-sectional study among the general public residing in Jordan. PLoS One, 15(12), e0243264. https://doi.org/10.1371/journal.pone.0243264
Scheibe, K., Fietkiewicz, K. J., & Stock, W. G. (2016). Information Behavior on Social Live Streaming Services. Journal of Information Science Theory and Practice, 4(2), 6-20. https://doi.org/10.1633/JISTaP.2016.4.2.1
Simon Kemp. (2021). Digital 2021: Taiwan. Hootsuite＆We Are Social. Retrieved May 22nd. 2021 from https://datareportal.com/reports/digital-2021-taiwan
Smith, G. D., Ng, F., & Ho Cheung Li, W. (2020). COVID-19: Emerging compassion, courage and resilience in the face of misinformation and adversity. J Clin Nurs, 29(9-10), 1425-1428. https://doi.org/10.1111/jocn.15231
Song, E., & Yoo, H. J. (2020). Impact of Social Support and Social Trust on Public Viral Risk Response: A COVID-19 Survey Study. Int J Environ Res Public Health, 17(18). https://doi.org/10.3390/ijerph17186589
Summers, J., Cheng, H.-Y., Lin, H.-H., Barnard, L. T., Kvalsvig, A., Wilson, N., & Baker, M. G. (2020). Potential lessons from the Taiwan and New Zealand health responses to the COVID-19 pandemic. The Lancet Regional Health – Western Pacific, 4. https://doi.org/10.1016/j.lanwpc.2020.100044
VoPham, T., Weaver, M. D., Hart, J. E., Ton, M., White, E., & Newcomb, P. A. (2020). Effect of social distancing on COVID-19 incidence and mortality in the US. medRxiv. https://doi.org/10.1101/2020.06.10.20127589
Wang, C. J., Ng, C. Y., & Brook, R. H. (2020). Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing. JAMA, 323(14), 1341-1342. https://doi.org/10.1001/jama.2020.3151
Wang, P.-W., Lu, W.-H., Ko, N.-Y., Chen, Y.-L., Li, D.-J., Chang, Y.-P., & Yen, C.-F. (2020). COVID-19-Related Information Sources and the Relationship With Confidence in People Coping with COVID-19: Facebook Survey Study in Taiwan. J Med Internet Res, 22(6), e20021. https://doi.org/10.2196/20021
World Health Organization. (2020a). Coronavirus. World Health Organization,. Retrieved May 23rd, 2021 from https://www.who.int/health-topics/coronavirus#tab=tab_3
World Health Organization. (2020b). SARS-CoV-2 Variant – United Kingdom of Great Britain and Northern Ireland. World Health Organization. Retrieved May 22nd, 2021 from https://www.who.int/csr/don/21-december-2020-sars-cov2-variant-united-kingdom/en/?fbclid=IwAR38nbYtU95uxRRK7QqzsLp72kDiTiHJ01rVDhnsEjIOEMlmdRnA9GNv5_w
World Health Organization. (2020c). WHO Coronavirus Disease (COVID-19) Dashboard. World Health Organization. Retrieved May 22nd, 2021 from https://covid19.who.int/
Wu, A. W., Connors, C., & Everly, G. S., Jr. (2020). COVID-19: Peer Support and Crisis Communication Strategies to Promote Institutional Resilience. Annals of internal medicine, 172(12), 822-823. https://doi.org/10.7326/M20-1236
Yeh, M.-J., & Cheng, Y. (2020). Policies Tackling the COVID-19 Pandemic: A Sociopolitical Perspective from Taiwan. Health Security, 18(6), 427-434. https://doi.org/10.1089/hs.2020.0095
Yeh, T. Y., & Contreras, G. P. (2020). Emerging viral mutants in Australia suggest RNA recombination event in the SARS-CoV-2 genome. Med J Aust, 213(1), 44-44 e41. https://doi.org/10.5694/mja2.50657