請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/83359完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 許詩嫺(Shih-Hsien Hsu) | |
| dc.contributor.author | Hsu-Jui Chang | en |
| dc.contributor.author | 張旭睿 | zh_TW |
| dc.date.accessioned | 2023-03-19T21:05:34Z | - |
| dc.date.copyright | 2022-10-21 | |
| dc.date.issued | 2022 | |
| dc.date.submitted | 2022-09-21 | |
| dc.identifier.citation | 中文部分 iThome新聞（1998）。給阿扁市長的電子信件，可上網查詢受理進度。引自：https://www.ithome.com.tw/node/5689 Newtalk（2021）。三級警戒》疫苗覆蓋率已達23.5％！累計567萬人次施打。引自：https://newtalk.tw/news/view/2021-07-21/607779 王建楠、李璧伊（2015）。臺灣南部某醫院常見癌症篩檢推動策略及成效分析。中華職業醫學雜誌，22（4），263-272。 王善航（2021）。新冠疫情下的韓國臺灣防疫政策比較。發展與前瞻學報，（31），55-76。 公視P新聞實驗室（2020）。公部門經營社群成風潮 地方政府缺資源靠小編苦撐。引自：https://newslab.pts.org.tw/news/271-%E5%85%AC%E9%83%A8%E9%96%80%E7%B6%93%E7%87%9F%E7%A4%BE%E7%BE%A4%E6%88%90%E9%A2%A8%E6%BD%AE%E3%80%80%E5%9C%B0%E6%96%B9%E6%94%BF%E5%BA%9C%E7%BC%BA%E8%B3%87%E6%BA%90%E9%9D%A0%E5%B0%8F%E7%B7%A8%E8%8B%A6%E6%92%90 中華電視公司（2020）。Facebook新表情符號！「加油」愛心抱抱暖抗疫。引自：https://news.cts.com.tw/cts/life/202004/202004301998946.html 立大健保藥局（2012）。被罵不放棄 就是要妳來做乳房檢查。引自：http://webcache.googleusercontent.com/search?q=cache:OrycfOLkvm4J:www.legislation.tn/77125jxapvgc.loc+&cd=10&hl=zh-TW&ct=clnk&gl=tw 阮?儀（2005）。政府風險溝通研究—以農委會和衛生署因應禽流感風險為例。師大典藏學位論文。 行政院（2022）。蘇揆：「新臺灣模式」兼顧國家經濟與國人生計 政府視疫情發展調整防疫策略。引自：https://www.ey.gov.tw/Page/9277F759E41CCD91/efb25003-da33-4e0a-a7c9-f4ed38bdc521 泛科學（2022）。認識 Omicron 變異株的厲害！Covid-19 確診數上升，未來可能會流感化嗎？引自：https://pansci.asia/archives/347967 吳宜蓁（2001）。危機溝通策略與媒體效能之模式建構－關於腸病毒風暴的個案研究。新聞學研究。62，1-34。 吳宜蓁（2004）。SARS風暴的危機溝通與現階段宣導策略檢視：以臺灣政府為例。遠景基金會其刊，5，107-150。 吳宜蓁（2005）。危機傳播—公共關係與語藝觀點的理論與實證。臺北：五南。 吳宜蓁（2011）。運用網路社交媒體於風險溝通-以2009-2010 年台灣政府H1N1 防疫宣導為例。傳播與社會學刊，15，125-159。 周芷?（2018）。應用危機溝通概念營造登革熱病媒孳生源清除示範里之研究。高雄大學機構典藏。 周桂田（2005）。爭議性科技之風險溝通：以基因改造工程為思考點。 宜蘭縣政府（2010）。婦女健康受惠：人類乳突病毒免費篩檢。引自：https://www.e-land.gov.tw/News_Content.aspx?n=770C4B84956BD13B&s=188E 28D017AF8D2A 施伯燁（2014）。社群媒體：使用者研究之概念，方法與方法論初探。傳播研究與實踐，4（2），207-227。 施琮仁。（2021）。新冠肺炎的日常防疫行為：媒體，情緒與風險認知的作用。新聞學研究，（148），153-196。 風傳媒（2020）。新新聞》小編鍵盤治國時代，政府網路行銷預算爆增。引自: https://www.storm.mg/article/2497081?mode=whole 徐仁輝、邱筠惠（2020）。從政策哲學檢視我國新冠病毒的防疫。文官制度，12（3），1-16。 陳敦源、黃東益、蕭乃沂、郭思禹（2006）。官僚回應性與內部顧客關係管理： 臺北市政府市長信箱個案研究。行政暨政策學報，42，143-182。 陳敦源、潘競恆（2011）。政府就是「我們」：Web2.0時代民主治理的希望或幻夢？研考雙月刊，35(4)，23-35。 陳靜君、陶振超（2018）。偏見同化效果：網路新聞不文明留言對態度極化的影響。中華傳播學刊，（33），137-179。 陳憶寧（2011）。健康傳播與公共衛生。傳播與社會學刊，（17），19-29。 陳憶寧（2018）。傳統媒體與社群媒體上呈現的食安危機比較：頂新餿水油事件的個案研究。傳播與社會學刊，45，47-89。 疾病管制署（2016）。衛生福利部疾病管制署官方Instagram粉絲團。引自：https://www.instagram.com/taiwancdc/?hl=zh-tw 疾病管制署（2009）。衛生福利部疾病管制署官方YouTube頻道。引自：https://www.youtube.com/channel/UCyh91eTE9jA3ykg8W3_v3DQ 張卿卿（2018）。編輯室報告。新聞學研究。引自：https://mcr.nccu.edu.tw/web/backissues/backissues_editorial.jsp?jp_no=JP1559292239025 張馨方（2016）。媒體在食品安全事件中的風險傳播：以食用油報導為例（Vol. 3）。財團法人吉星福張振芳伉儷文教基金會。 黃哲斌（2016）。歐巴馬到川普的社群奇謀：社群媒體與政治變奏曲。天下雜誌。引自：https://www.cw.com.tw/article/5077410 黃浩榮（2003）。風險社會下的大眾媒體：公共新聞學作為重構策略。國家發展研究，3（1），99-147。 黃毓超（2020）。公領域私語化：臺灣社群媒體政治新聞貼文與討論分析。中華傳播期刊，38，215-252。 報導者（2022）。COVID-19病毒變身全解析：從Alpha、Delta到Omicron。引自：https://www.twreporter.org/a/sars-cov-2-variants 報導者（2022）。疫苗接種率。引自：https://covid-19.nchc.org.tw/dt_002-csse_covid_19_daily_reports_vaccine_city2.php 新北市永和區衛生所（2017）。溫馨婦女月 乳癌首篩送好禮。引自：https://yonghe.health.ntpc.gov.tw/news/index.php?mode=data&id=768&parent_id=10005&type_id=10007 廖?華、蔡勝興、蔡麗華、謝景祥、周蕙苓、楊鉑釧、...、鍾斐如（2011）。嘉義地區民眾癌症預防衛生教育成效之探討。非營利組織管理學刊。 潘競恆、羅晉（2013）。政府運用Web 2.0社群媒體行銷的新思維與策略。行政院研究發展考核委員會。 鄭少智、鄒亞寶（2003） 談“算術平均數”,“中位數”,“眾數” 的代表性問題。統計與決策，（11）， 94-95。 衛生福利部（2011）。衛生福利部官方Youtube頻道。引自：https://www.youtube.com/user/hpagov/about 衛生福利部（2012）。乳房攝影檢查政府用心婦女安心。引自：https://www.mohw.gov.tw/fp-3159-24452-1.html 衛生福利部（2017）。衛生福利部及所屬機關 LINE@頻道。引自：https://www.mohw.gov.tw/cp-81-37724-1.html 衛生福利部（2017）。衛生福利部官方Facebook粉絲團。引自： https://www.mohw.gov.tw/cp-81-9428-1.html 衛生福利部（2021）。衛福部桃園醫院事件。引自： https://covid19.mohw.gov.tw/ch/cp-5122-58855-205.html 衛生福利部（2022）。COVID-19 防疫關鍵決策時間軸。引自： https://covid19.mohw.gov.tw/ch/sp-timeline0-205.html 數位時代（2016）。終於！Twitter將在9月19日解除140字數限制。引自：https://www.bnext.com.tw/article/40942/twitter-cancel-140-words-limit 顏嘉俊（2021）。蔡英文總統的領袖魅力對民眾支持度影響之研究：以社群媒體及傳統媒體的使用行為為干擾變項。 鏡周刊（2020）。【政治小編網路戰2】政府議題操作藏玄機：網路上的訊息都被精密安排過。引自：https://www.mirrormedia.mg/story/20201125cul002/ 英文部分 Aerts, S. (2013). Applying the CERC model within the context of extreme weather: A study about the influence of the timing and efficacy beliefs on information seeking and self-protective behaviors. Alfonso Viguria, U., & Casamitjana, N. (2021). Early interventions and impact of covid-19 in Spain. International Journal of Environmental Research and Public Health, 18(8), 4026. Andrade, E. L., Barrett, N. D., Edberg, M. C., Rivera, M. I., Latinovic, L., Seeger, M. W., ... & Santos-Burgoa, C. (2020). Mortality reporting and rumor generation: An assessment of crisis and emergency risk communication following Hurricane Mar?a in Puerto Rico. Journal of International Crisis and Risk Communication Research, 3(1), 2. Atalan, A. (2020). Is the lockdown important to prevent the COVID-19 pandemic? Effects on psychology, environment and economy-perspective. Annals of medicine and surgery, 56, 38-42. Avery, E. J. (2017). Public information officers’ social media monitoring during the Zika virus crisis, a global health threat surrounded by public uncertainty. Public Relations Review, 43(3), 468-476. Bernard, N. R., Basit, A., Sofija, E., Phung, H., Lee, J., Rutherford, S., ... & Wiseman, N. (2021). Analysis of crisis communication by the Prime Minister of Australia during the COVID-19 pandemic. International Journal of Disaster Risk Reduction, 62, 102375. Bertot, J. C., Jaeger, P. T., & Grimes, J. M. (2010). Using ICTs to create a culture of transparency: E-government and social media as openness and anti-corruption tools for societies. Government information quarterly, 27(3), 264-271. Bimber, B. (1999). The Internet and citizen communication with government: Does the medium matter?. Political communication, 16(4), 409-428. Brandtzaeg, P. B., & Haugstveit, I. M. (2014). Facebook likes: a study of liking practices for humanitarian causes. Int. J. Web Based Communities, 10(3), 258-279. Brodie, M., Hamel, E. C., Altman, D. E., Blendon, R. J., & Benson, J, M. (2003). Health news and the American public, 1996-2002. J Health Polit Law, 28(5), 927-950. Castells-Talens, A., Ramos Rodr?guez, J. M., & Chan Concha, M. (2009). Radio, control, and indigenous peoples: The failure of state-invented citizens' media in Mexico. Development in Practice, 19(4-5), 525-537. Catal?n-Matamoros, D., & Pe?afiel-Saiz, C. (2019). The use of traditional media for public communication about medicines: a systematic review of characteristics and outcomes. Health communication, 34(4), 415-423. Centers for Disease Control and Prevention. (2010). 2009 H1N1: Overview of a Pandemic. Retrieved from: https://www.cdc.gov/h1n1flu/yearinreview/yir8.htm Centers for Disease Control and Prevention. (2018). CERC Manual. Retrieved from: https://emergency.cdc.gov/cerc/manual/index.asp Centers for Disease Control and Prevention. (2019). Cost of Ebola Epidemic. Retrieved from: https://www.cdc.gov/vhf/ebola/history/2014-2016-outbreak/cost-of-ebola.html#N3 Centers for Disease Control and Prevention. (2020). Data and Statistics on Zika and Pregnancy. Retrieved from: https://www.cdc.gov/pregnancy/zika/data/index.html Cha, M., Haddadi, H., Benevenuto, F., & Gummadi, K. (2010, May). Measuring user influence in twitter: The million follower fallacy. In Proceedings of the international AAAI conference on web and social media (Vol. 4, No. 1). Chan, M. S., Winneg, K., Hawkins, L., Farhadloo, M., Jamieson, K. D., & Albarracin, D. (2018). Legacy and social media respectively influence risk perceptions and protective behaviors during emerging health threats: A multi-wave analysis of communications on Zika virus cases. Social Science & Medicine, 212, 50-59. doi: 10.1016/j.socscimed.2018.07.007 Chen, H., Shi, L., Zhang, Y., Wang, X., & Sun, G. (2021). A cross-country core strategy comparison in China, Japan, Singapore and South Korea during the early COVID-19 pandemic. Globalization and health, 17(1), 1-10. Chen, Q., Min, C., Zhang, W., Wang, G., Ma, X., & Evans, R. (2020). Unpacking the black box: How to promote citizen engagement through government social media during the COVID-19 crisis. Computers in Human Behavior, 106380. Chen, S., Xu, Q., Buchenberger, J., Bagavathi, A., Fair, G., Shaikh, S., & Krishnan, S. (2018). Dynamics of health agency response and public engagement in public health emergency: a case study of CDC tweeting patterns during the 2016 Zika epidemic. JMIR public health and surveillance, 4(4), e10827. Chou, W. Y. S., Hunt, Y. M., Beckjord, E. B., Moser, R. P., & Hesse, B. W. (2009). Social media use in the United States: implications for health communication. Journal of medical Internet research, 11(4), e48. Clement, J. (2020). Facebook: Number of monthly active users worldwide 2008-2020. Statista. Collins, E. L., & Zoch, L. N. (2001). Targeting the young, the poor, the less educated: Thinking beyond traditional media. Public Relations Review, 27(2), 197-212. Datareportal. (2021). Digital 2021: Taiwan. Retrieved from: https://datareportal.com/reports/digital-2021-taiwan Ding, H., & Zhang, J. (2010). Social media and participatory risk communication during the H1N1 flu epidemic: A comparative study of the United States and China. China Media Research, 6(4), 80-91. Dixon, B. E. (2010). Towards e-government 2.0: An assessment of where e-government 2.0 is and where it is headed. Elgammal, N. (2021). COVID-19 Crisis Communication: The Strategic Use of Instagram Messages by the Bahraini Ministry of Health in Light of the Crisis and Emergency Risk Communication Model (CERC). Arab Media and Society, 31, 25-46. Eriksson, M. (2018). Lessons for crisis communication on social media: A systematic review of what research tells the practice. International Journal of Strategic communication, 12(5), 526-551. doi: 10.1080/155311/X.2018.1510405 Facebook. (2021). What does Most Relevant mean on a Facebook Page post? .Retrieved from: https://www.facebook.com/help/www/539680519386145 Fissi, S., Gori, E., & Romolini, A. (2022). Social media government communication and stakeholder engagement in the era of Covid-19: evidence from Italy. International Journal of Public Sector Management. Fung, I. C. H., & Wong, K. (2013). Efficient use of social media during the avian influenza A (H7N9) emergency response. Western Pacific surveillance and response journal: WPSAR, 4(4), 1. Gesser-Edelsburg, A., Mordini, E., James, J., Greco, D., & Green, M. S. (2014). Risk communication recommendations and implementation during emerging infectious diseases: A case study of the 2009 H1N1 influenza pandemic. Disaster Medicine and Public Health Preparedness, 8(2), 1-12. doi: 10.1017/dmp.2014.27 Graham, M. W. (2014). Government communication in the digital age: Social media’s effect on local government public relations. Public Relations Inquiry, 3(3), 361-376. Graham, M. W., Avery, E. J., & Park, S. (2015). The role of social media in local government crisis communications. Public Relations Review, 41(3), 386-394. Gregory, A. (2019). UK Government Communication: The Cameron years and their ongoing legacy. Public Relations Review, 45(2), 202-216. Habermas, J. (1962/1991). The structural transformation of the public sphere: An inquiry into a category of bourgeois society (T. Burger & F. Lawrence, Trans.). Boston, MA: MIT Press. Hagen, L., Neely, S., Scharf, R., & Keller, T. E. (2020). Social media use for crisis and emergency risk communications during the Zika health crisis. Digital Government: Research and Practice, 1(2), 1-21. Haktanir, A., Can, N., Seki, T., Kurnaz, M. F., & Dilma?, B. (2021). Do we experience pandemic fatigue? current state, predictors, and prevention. Current Psychology, 1-12. Hall, V. J., Foulkes, S., Saei, A., Andrews, N., Oguti, B., Charlett, A., ... & Cowley, A. (2021). COVID-19 vaccine coverage in health-care workers in England and effectiveness of BNT162b2 mRNA vaccine against infection (SIREN): a prospective, multicentre, cohort study. The Lancet, 397(10286), 1725-1735. Hayes, J. E. (1996). “Touching the sentiments of everyone”: Nationalism and state broadcasting in thirties Mexico. Communication Review (The), 1(4), 411-439. Hofmann, S., Beverungen, D., R?ckers, M., & Becker, J. (2013). What makes local governments' online communications successful? Insights from a multi-method analysis of Facebook. Government information quarterly, 30(4), 387-396. Holmes, B. J. (2008). Communicating about emerging infectious disease: The importance of research. Health, Risk & Society, 10(4), 349-360. doi: 10.1080/13698570802166431 Holmes, B. J., Henrich, N., Hancock, S., & Lestou, V. (2009). Communicating with the public during health crises: Experts' experiences and opinions. Journal of Risk Research, 12(6), 793-807. doi: 10.1080/13669870802648486 Hong, H. (2013). Government websites and social medias’ influence on government-public relationships. Public Relations Review, 39(4), 346-356. doi: 10.1013/j.pubrev.2013.07.007 Howlett, M. (2009). Government communication as a policy tool: A framework for analysis. Canadian Political Science Review, 3(2), 23-37. Johns Hopkins University and Medicine. (2021). COVID-19 dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). Retrieved from: https://coronavirus.jhu.edu/map.html Kang, M., Kim, J. R., & Cha, H. (2018). From concerned citizens to activists: A case study of 2015 South Korean MERS outbreak and the role of dialogic government communication and citizens’ emotions on public activism. Journal of Public Relations Research, 30(5-6), 202-229. Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business horizons, 53(1), 59-68. Keller, T. R., & Kleinen-von K?nigsl?w, K. (2018). Followers, spread the message! Predicting the success of Swiss politicians on Facebook and Twitter. Social Media+ Society, 4(1), 2056305118765733. Kim, S., & Liu, B. F. (2012). Are all crises opportunities? A comparison of how corporate and government organizations responded to the 2009 flu pandemic. Journal of Public Relations Research, 24(1), 69-85. Kim, C., & Yang, S. U. (2017). Like, comment, and share on Facebook: How each behavior differs from the other. Public relations review, 43(2), 441-449. Knill, C., & Tosun, J. (2020). Public policy: A new introduction. Red Globe Press. Kott, A., & Limaye, R. J. (2016). Delivering risk information in a dynamic information environment: Framing and authoritative voice in Centers for Disease Control (CDC) and primetime broadcast news media communications during the 2014 Ebola outbreak. Social Science & Medicine, 169, 42-49. Kudchadkar, S. R., & Carroll, C. L. (2020). Using social media for rapid information dissemination in a pandemic:# PedsICU and coronavirus disease 2019. Pediatric Critical Care Medicine, 21(8), e538. Kuzma, J. (2010). Asian government usage of Web 2.0 social media. European Journal of ePractice, (9), 1-13. Lachlan, K. A., Spence, P. R., Lin, X., Najarian, K., & Del Greco, M. (2016). Social media and crisis management: CERC, search strategies, and Twitter content. Computers in Human Behavior, 54, 647-652. Landsbergen, D. (2010, June). Government as part of the revolution: Using social media to achieve public goals. In Proceedings of the European Conference on e-Government, ECEG (Vol. 8, No. 2, pp. 243-250). Laursen, B., & Valentini, C. (2015). Mediatization and government communication: press work in the European Parliament. The International Journal of Press/Politics, 20(1), 26-44. Lyu, J. C., Le Han, E., & Luli, G. K. (2021). COVID-19 vaccine–related discussion on Twitter: topic modeling and sentiment analysis. Journal of medical Internet research, 23(6), e24435. Lazard, A. L., Scheinfeld, E., Bernhardt, J. M., Wilcox, G. B., & Suran, M. (2015). Detecting themes of public concern: A text mining analysis of the Centers for disease control and prevention's Ebola live Twitter chat. American Journal of Infection Control, 43(10), 1109-1111. doi: 10.1016/j.ajic.2015.05.025 Lee, K. (2009). How the Hong Kong government lost the public trust in SARS: Insights for government communication in a health crisis. Public relations review, 35(1), 74-76. Lee, M., Neeley, G., & Stewart, K. (Eds.). (2011). The practice of government public relations. CRC Press. Lee, T., Park, H., & Lee, J. (2019). Collaborative accountability for sustainable public health: A Korean perspective on the effective use of ICT-based health risk communication. Government Information Quarterly. 36(2), 226-236. Lebni, J. Y., Abbas, J., Moradi, F., Salahshoor, M. R., Chaboksavar, F., Irandoost, F., … & Ziapour, A. (2020). How the COVID-19 pandemic effected economic, social, political, and cultural factors: A lesson from Iran. International Journal of Social Psychiatry. doi: 10.1177/0020764020939984 Lindsay, B. R. (2011). Social media and disasters: Current uses, future options, and policy considerations. In Lindsay, B. R. (Ed.), Congressional Research Service, (pp. 1-10). Washington D. C.: Library of Congress. Liu, Q., Zhao, G., Ji, B., Liu, Y., Zhang, J., Mou, Q., & Shi, T. (2020). Analysis of the influence of the psychology changes of fear induced by the COVID-19 epidemic on the body. World Journal of Acupuncture – Moxibustion. doi: 10.1016/j.wjam.2020.06.007 Lwin, M., Lu, J., Sheldenkar, A., & Schulz, P. J. (2018). Strategic uses of facebook in Zika outbreak communication: Implications for the crisis and emergency risk communication model. International Journal of Environmental Research and Public Health, 15(9), 1974. McGuire, D., Cunningham, J. E., Reynolds, K., & Matthews-Smith, G. (2020). Beating the virus: An examination of the crisis communication approach taken by New Zealand Prime Minister Jacinda Ardern during the Covid-19 pandemic. Human resource development international, 23(4), 361-379. McLaughlin, B., & Macafee, T. (2019). Becoming a Presidential candidate: social media following and politician identification. Mass Communication and Society, 22(5), 584-603. Mergel, I. (2013). Social media adoption and resulting tactics in the US federal government. Government Information Quarterly, 30(2), 123-130. Miller, A. N., Collins, C., Neuberger, L., Todd, A., Sellnow, T. L., & Boutemen, L. (2021). Being First, Being Right, and Being Credible Since 2002: A Systematic Review of Crisis and Emergency Risk Communication (CERC) Research. Journal of International Crisis and Risk Communication Research, 4(1), 1. Malik, A., Khan, M. L., & Quan-Haase, A. (2021). Public health agencies outreach through Instagram during the COVID-19 pandemic: Crisis and Emergency Risk Communication perspective. International Journal of Disaster Risk Reduction, 61, 102346. Manuel, J. (2014). Crisis and emergency risk communication: Lessons from the Elk River spill. Environmental Health Perspectives, 122(8), 214-219. Matamoros Fernandez, A. (2018). Inciting anger through Facebook reactions in Belgium: The use of emoji and related vernacular expressions in racist discourse. Mulyadi, U., & Fitriana, L. (2018). Hashtag (#) as message identity in virtual community. Jurnal The Messenger, 10(1), 44-53. Ngai, C. S. B., Singh, R. G., & Yao, L. (2022). Impact of COVID-19 Vaccine Misinformation on Social Media Virality: Content Analysis of Message Themes and Writing Strategies. Journal of Medical Internet Research, 24(7), e37806. 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). Obamiro, K., West, S., & Lee, S. (2020). Like, comment, tag, share: Facebook interactions in health research. International Journal of Medical Informatics, 137, 104097. OECD. (2020). The territorial impact of COVID-19: Managing the crisis across levels of government. Retrieved from: http://www.oecd.org/coronavirus/policy-responses/the-territorial-impact-of-covid-19-managing-the-crisis-across-levels-of-government-d3e314e1/ Ottah, G. A., & Umar, H. (2016). Traditional Media of communication as tools for effective rural development: A study of Ibaji local government area of Kogi State. International Journal of Communication: An Interdisciplinary Journal of Communication Studies, 19(1), 102-117. Paek, H. J., & Hove, T. (2020). Communicating uncertainties during the COVID-19 outbreak. Health Communication, 35(14), 1729-1731. Panagiotopoulos, P., Barnett, J., Bigdeli, A. Z., & Sams, S. (2016). Social media in emergency management: Twitter as a tool for communicating risks to the public. Technological Forecasting and Social Change, 111, 86-96. Paris, M. (2006). Website accessibility: A survey of local e-government websites and legislation in Northern Ireland. Universal access in the information society, 4(4), 292-299.s Pascual-Ferr?, P., Alperstein, N., Barnett, D. J., & Rimal, R. N. (2021). Toxicity and verbal aggression on social media: Polarized discourse on wearing face masks during the COVID-19 pandemic. Big Data & Society, 8(1), 20539517211023533. Perrin, A. (2015). Social media usage. Pew research center, 125, 52-68. Peters, K., Chen, Y., Kaplan, A. M., Ognibeni, B., & Pauwels, K. (2013). Social media metrics—A framework and guidelines for managing social media. Journal of interactive marketing, 27(4), 281-298. Pew Research Center. (2021). More than eight-in-ten Americans get news from digital devices. Retrieved from: https://www.pewresearch.org/fact-tank/2021/01/12/more-than-eight-in-ten-americans-get-news-from-digital-devices/ Pew Research Center. (2021). Social media use in 2021. Retrieved from: https://www.pewresearch.org/internet/2021/04/07/social-media-use-in-2021/ Powell, A. (2021). COVID and Cuomo: Using the CERC Model to Evaluate Strategic Uses of Twitter on Pandemic Communications. In Pandemic Communication and Resilience (pp. 107-124). Springer, Cham. Quinn, S. C. (2008). Crisis and emergency risk communication in a pandemic: a model for building capacity and resilience of minority communities. Health Promotion Practice, 9(4_suppl), 18S-25S. Ramos, R. F., Rita, P., & Moro, S. (2019). From institutional websites to social media and mobile applications: A usability perspective. European Research on Management and Business Economics, 25(3), 138-143. Ratzan, S. C., & Moritsugu, K. P. (2014). Ebola crisis—communication chaos we can avoid. Reynolds, B., Galdo, J. H., Sokler, L., & Freimuth, V. S. (2002). Crisis and emergency risk communication. Retrieved from: https://stacks.cdc.gov/view/cdc/6574/cdc_6574_DS1.pdf Reynolds, B., & Quinn, S. C. (2008). Effective communication during an influenza pandemic: the value of using a crisis and emergency risk communication framework. Health promotion practice, 9(4_suppl), 13S-17S. Reynolds, B., & Seeger, M. W. (2005). Crisis and emergency risk communication as an integrative model. Journal of Health Communication, 10(1), 43-55. Reynolds, B., & Seeger, M. W. (2014). Crisis and emergency risk communication. Retrieved from: https://emergency.cdc.gov/cerc/ppt/cerc_2014edition_Copy.pdf Rickard, L. N., McComas, K. A., Clarke, C. E., Stedman, R. C., & Decker, D. J. (2013). Exploring risk attenuation and crisis communication after a plague death in Grand Canyon. Journal of Risk Research, 16(2), 145-167. Sanders, K., & Canel, M. J. (Eds.). (2013). Government communication: Cases and challenges. A&C Black. Small, T. A. (2012). e?Government in the age of social media: An analysis of the Canadian government's use of Twitter. Policy & Internet, 4(3-4), 91-111. Tang, L., Bie, B., Park, S. E., & Zhi, D. (2018). Social media and outbreaks of emerging infectious diseases: A systematic review of literature. American Journal of Infection Control, 46(9), 962-972. doi: 10.1016/j.ajic.2018.02.010 The New York Times. (2022). The World Tries to Move Beyond Covid. China May Stand in the Way. Retrieved from: https://www.nytimes.com/2022/05/13/business/china-zero-covid-xi.html The World Bank Group. (2020). The global economic outlook during the COVID-19 pandemic: A changed world. Retrieved from: https://www.worldbank.org/en/news/feature/2020/06/08/the-global-economic-outlook-during-the-covid-19-pandemic-a-changed-world Toppenberg-Pejcic, D., Noyes, J., Allen, T., Alexander, N., Vanderford, M., & Gamhewage, G. (2018). Emergency risk communication: Lessons learned from a rapid review of recent gray literature on Ebola, Zika, and Yellow Fever. Health Communication, 34(4), 437-455. doi: 10.1080/10410236.2017.1405488 Utz, S., Schultz, F., & Glocka, S. (2013). Crisis communication online: How medium, crisis type and emotions affected public reactions in the Fukushima Daiichi nuclear disaster. Public Relations Review, 39(1), 40-46. doi: 10.1016/j.pubrev.2012.09.010 Veil, S., Reynolds, B., Sellnow., T. L., & Seeger, M. W. (2008). CERC as a theoretical framework for research and practice. Health Promotion Practice, 9(4), 26-34. Vos, S. C., & Buckner, M. M. (2015). Social media messages in an emerging health crisis: Tweeting bird flu. Journal of Health Communication, 21(3). Walgrave, S., Soroka, S., & Nuytemans, M. (2008). The mass media's political agenda-setting power: A longitudinal analysis of media, parliament, and government in Belgium (1993 to 2000). Comparative Political Studies, 41(6), 814-836. Warren, G. W., & Lofstedt, R. (2021). COVID-19 vaccine rollout risk communication strategies in Europe: a rapid response. Journal of Risk Research, 1-11. Weick, K. E. (1995). Sensemaking in organizations (Vol. 3). Sage. West, D. M. (2004). E?government and the transformation of service delivery and citizen attitudes. Public administration review, 64(1), 15-27. Witte, K. (1992). Putting the fear back into fear appeals: The extended parallel process model. Communications Monographs, 59(4), 329-349. Woolley, J. K., Limperos, A. M., & Oliver, M. B. (2010). The 2008 presidential election, 2.0: A content analysis of user-generated political Facebook groups. Mass Communication and Society, 13(5), 631-652. World Health Organization. (2018). Communicating risk in public health emergencies. Retrieved from: https://www.who.int/risk-communication/guidance/download/en/ World Health Organization. (2020). Coronavirus. Retrieved from: https://www.who.int/health-topics/coronavirus?fbclid=IwAR1ASVo7BourHIz5Y-ch_1mq4wzWUqSNWAgzefiLgY_go18YtlSyPCY5_QE#tab=tab_3 World Health Organization. (2021). General information on risk communication. Retrieved from: https://www.who.int/risk-communication/background/en/ World Tourism Organization. (2021). 2020 'worst year in tourism history' with losses estimated at $1.3 trillion. Retrieved from: https://www.france24.com/en/business /2021 0128-2020-worst-year-in-tourism-history-with-losses-estimated-at-1-3-trillion Zahry, N. R., McCluskey, M., & Ling, J. (2022). Risk governance during the COVID?19 pandemic: A quantitative content analysis of governors' narratives on twitter. Journal of Contingencies and Crisis Management. Zorn, T. E., Page, D. J., & Cheney, G. (2000). Nuts about change: Multiple perspectives on change-oriented communication in a public sector organization. Management Communication Quarterly, 13(4), 515-566. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/83359 | - |
| dc.description.abstract | 本文旨在分析COVID-19疫情期間，衛福部如何使用社群媒體與民眾溝通，及衛福部在社群媒體上採用何種傳播策略向民眾傳遞疫情資訊，最後探討民眾對於不同疫情危機事件和傳播策略的反應。研究以在臺灣發生的三起重大群聚事件，部桃醫院群聚事件、Alpha本土感染事件及Omicron本土感染事件為對象，運用Reynolds與Seeger的危機與緊急風險傳播模型（CERC），搭配敘述統計、卡方檢定、Kruskal-Wallis H檢定及Mann-Whitney U檢定進行分析。 研究發現COVID-19疫情期間，衛福部Facebook粉絲團的發文頻率與防疫政策及疫苗接種程度有關，而衛福部在貼文標籤使用上以傳遞感謝醫護人員資訊為主。在卡方分析部份，衛福部於部桃危機使用「降低不確定策略」比例明顯高於其他危機；在Alpha危機使用「安心策略」比例明顯高於其他危機；在Omicron危機則是使用「效能策略」之次要策略「個人預防措施」比例明顯高於其他危機。此外，在無母數分析部份，民眾集中於針對Alpha危機貼文傳遞表情符號與留言，及集中分享Omicron危機貼文，而民眾亦集中對「降低不確定策略」貼文進行留言與分享。研究最後將上述結果進行文獻討論，並提出衛福部Facebook粉絲團的經營問題與建議改善之方式。 | zh_TW |
| dc.description.abstract | This study aimed to analyze how the Ministry of Health and Welfare (MOHW) uses social media to communicate with the public during the COVID-19 pandemic; discussed the communication strategies adopted by the MOHW; and explored the public’s response to different pandemic crisis events and communication strategies. The study focused on three major cluster events in Taiwan, namely local cluster at Taoyuan General Hospital, local cluster caused by the Alpha variant, and local cluster caused by the Omicron variant. Crisis and Emergency Risk Communication Model proposed by Reynolds and Seeger,descriptive statistics, Chi-squared test, Kruskal-Wallis H test, and Mann-Whitney U test were used for analysis. The results revealed that during the COVID-19 pandemic, the frequency of posting by the MOHW on their Facebook fan page was related to pandemic prevention policy and vaccination rate. The MOHW mainly used hashtags to convey their gratitude to the medical staff. In terms of the Chi-squared test, 'Uncertainty Reduction Strategies' were used significantly more frequently in response to local cluster at Taoyuan General Hospital than other cluster events. 'Reassurance Strategies' were used significantly more frequently in response to the local cluster caused by the Alpha variant than other cluster events. 'Personal Prevention Measures'—the secondary strategy of 'Efficacy Stragies'—was used significantly more frequently in response to the local cluster caused by the Omicron variant than other cluster events. In terms of the nonparametric test, the public focused on leaving emojis and comments under the post about the Alpha variant crisis, sharing the post about the Omicron variant crisis, and leaving comments under and sharing the post about 'Uncertainty Reduction Strategies'. Finally, this study conducted a literature review on the aforementioned results, identified the problems with the operation of the MOHW’s Facebook fan page, and proposed suggestions for improvement. | en |
| dc.description.provenance | Made available in DSpace on 2023-03-19T21:05:34Z (GMT). No. of bitstreams: 1 U0001-2109202214421200.pdf: 3991109 bytes, checksum: 2ee37b02010d40a1f9b29a75c645731f (MD5) Previous issue date: 2022 | en |
| dc.description.tableofcontents | 中文摘要 I 英文摘要 II 圖目錄 VI 表目錄 VII 第一章 緒論 1 第一節 研究背景 1 第二節 研究動機與目的 6 第二章 文獻探討 10 第一節 政府之傳播媒介 10 一、政府傳播與傳統媒體 10 二、政府傳播與社群媒體 13 三、社群媒體應用於疫病情境 18 第二節 危機和緊急風險傳播模式 22 一、CERC的起源 22 二、CERC的缺口與應用領域 29 三、CERC應用於社群媒體 34 第三節 疫情下的防疫政策 39 第三章 研究方法 46 第一節 樣本選取 46 第二節 類目建構 52 第三節 信度檢定 55 第四章 研究結果 57 第五章 討論與結論 86 參考文獻 103 中文部分 103 英文部分 107 | |
| dc.language.iso | zh-TW | |
| dc.subject | 傳播策略 | zh_TW |
| dc.subject | 社群媒體 | zh_TW |
| dc.subject | 危機與緊急風險傳播 | zh_TW |
| dc.subject | 衛福部 | zh_TW |
| dc.subject | 新冠肺炎 | zh_TW |
| dc.subject | Social Media | en |
| dc.subject | Communication Strategy | en |
| dc.subject | COVID-19 | en |
| dc.subject | MOHW | en |
| dc.subject | CERC | en |
| dc.title | 以CERC模型探討衛生福利部在COVID-19疫情下的社群媒體傳播策略 | zh_TW |
| dc.title | Using the CERC model to explore the social media communication strategy of MOHW during the COVID-19 pandemic | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 110-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 張鎧如(Kai-ju Chang),韓義興(Yi-Hsing Han) | |
| dc.subject.keyword | 社群媒體,危機與緊急風險傳播,衛福部,新冠肺炎,傳播策略, | zh_TW |
| dc.subject.keyword | Social Media,CERC,MOHW,COVID-19,Communication Strategy, | en |
| dc.relation.page | 121 | |
| dc.identifier.doi | 10.6342/NTU202203725 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2022-09-23 | |
| dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
| dc.contributor.author-dept | 生物產業傳播暨發展學研究所 | zh_TW |
| 顯示於系所單位： | 生物產業傳播暨發展學系 | |
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