帳號:guest(3.14.83.50)          離開系統
字體大小: 字級放大   字級縮小   預設字形  

詳目顯示

以作者查詢圖書館館藏以作者查詢臺灣博碩士以作者查詢全國書目勘誤回報
作者(中):康美涵
作者(英):Mihaela Constantin
論文名稱(中):施打疫苗的病毒行銷? 抖音平台上的新冠疫苗健康宣傳內容分析研究
論文名稱(英):Viral Vaccinations: A Visual Content Analysis of COVID-19 Vaccine Related Videos on TikTok
指導教授(中):蕭宏祺
指導教授(英):Hong-Chi Shiau
口試委員:鄭怡卉
陳聖智
口試委員(外文):I-Hui Cheng
Sheng-Chih Chen
學位類別:碩士
校院名稱:國立政治大學
系所名稱:國際傳播英語碩士學位學程(IMICS)
出版年:2022
畢業學年度:110
語文別:英文
論文頁數:57
中文關鍵詞:疫苗猶豫TikTok元語音能見度
英文關鍵詞:Vaccine hesitancyTikTokMeta-voicingVisibility
Doi Url:http://doi.org/10.6814/NCCU202201558
相關次數:
  • 推薦推薦:0
  • 點閱點閱:77
  • 評分評分:系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔
  • 下載下載:15
  • gshot_favorites title msg收藏:0
中文摘要
本研究旨在確定 TikTok 向平台用戶提供哪些類型的功能,這些功能將有助於在技術可供性概念的指導下創建和消費疫苗視頻。為此,本研究對從 TikTok 檢索到的視頻採用混合方法視覺內容分析 (n = 50)。關於 TikTok 元語音功能(可見視圖、喜歡、評論和分享計數)的調查結果表明,就這些指標而言,TikTok 有能力在四個平台(YouTube、Instagram、Twitter)上超越最受歡迎的視頻和 Facebook)——所有這些都表明分析如何在 TikTok 上談論 COVID-19 疫苗視頻的重要性。此外,有關 TikTok 的可見性可供性(即視頻類型和疫苗立場)的結果表明,該平台的非正式性質吸引了內容創建者和觀眾,以便討論 COVID-19 疫苗信息。然而,儘管大多數視頻表達了對 COVID-19 疫苗的支持立場,但大量視頻表明疫苗產生了嚴重的副作用,儘管沒有經過喜劇剪輯。因此,視頻的這種非正式和喜劇性質,以及缺乏權威/可信的創作者(即衛生專業人員)可能會導致疫苗猶豫而不是接受。
ABSTRACT
This study sought to identify what types of features TikTok provides to users of the platform that would assist in the creation and consumption of vaccine videos guided by the concept of technological affordances. To accomplish this, this present study employed a mixed method visual content analysis (n = 50) for videos retrieved from TikTok. Findings regarding the meta-voicing affordance of TikTok (visible view, like, comment, and share counts), showcase that TikTok, in terms of these metrics, has the capability of outperforming the most popular videos across four platforms (YouTube, Instagram, Twitter, and Facebook) – all of which indicates the importance of analyzing how COVID-19 vaccine videos are talked about on TikTok. Furthermore, results regarding the visibility affordance of TikTok (i.e., video type and vaccine stance) showcase that the informal nature of the platform is what appeals to content creators and viewers alike in order to discuss COVID-19 vaccine information. However, although the majority of videos voiced a supportive stance for COVID-19 vaccines, a large number of videos indicate severe side-effects from the vaccine, albeit uncut with comedy. Thus, this informal and comedic nature of the videos, as well as the lack of authoritative/credible creators (i.e., health professionals) might result in vaccine hesitancy rather than acceptance.

TABLE OF CONTENTS

Title Page …………………………………………………………………………………………1
Secondary Page …………………………………………………………………………………...2
Acknowledgement ………………………………………………………………………………..3
Abstract …………………………………………………………………………………………...4
Table of Contents ………………………………….....…………………………………………...5
List of Table and Figure …………………………………………………………………………..6
1. Introduction ………………………………………………………………………………….....7
2. Literature Review ……………………………………………………………………...……..11
2.1. Social Media and Vaccination Campaigns ………..…………..11
2.2 The Impact of Health-Related Videos on Social Media………….12
2.3 Why Use TikTok to Analyze Viral Videos…………………………………………..13
2.4 Technological Affordances…………………………………………………………..17
2.4 TikTok Affordances for Health Communication……………………….…19
3. Method………………………………………………………………………………………...23
3.1 Data Collection………………………………………………………………………24
3.2 Data Analysis………………………………………………………………………...25
3.3 Coding Instrument…………………………………………………………………...25
4. Results…………………………………………………………………………………………30
4.1 Meta-Voicing Features Evidenced in Vaccine TikToks…………..30
4.2 Visibility Features Evidenced in Vaccine TikToks……………….32
5. Dissucion……………………………………………………..40
5.1 Meta-voicing and Visibility TikTok Affordances ……………..40
5.2 Limitations…………………………………………………………………………...44
5.3 Conclusions and Future Research…………………………………………………....45
6. References……………………………………………………………………………………..47

LIST OF FIGURES AND TABLES

Figure 1. Active users across social media platforms (Shopify, 2022)………...………….............14
Figure 2. Average monthly hours spent per user across TikTok, Facebook, Instagram, and WhatsApp (Doyle, 2022)…………………………………………………………………………….……15
Figure 3. US YouTube vs. TikTok Users, by Generation (Aho Williamson, 2022)………………..16
Figure 4. Example of search results on mobile (left) and desktop (right) for TikTok videos using the #covidvaccine……………………………………………………………………………………….....24
Figure 5. Analysis results from 5.7 billion videos across YouTube, Instagram, Twitter, and Facebook (Calabrese, 2018)…………………………………………………………………….31
Figure 6. Example of a video utilizing ‘oral speech’ to explain the science behind vaccines (@simplebiologist)………………………………………………………………………………………...34
Figure 7. Example of a stitched ‘oral speech’ video explaining the science behind vaccines (@christinaaaaaaanp)…………………………………………………………………………….………35
Figure 8. Example of ‘documenting social realities’ video made to showcase the vaccination process (@grandadjoe1933)……………………………………………………………………………..36
Figure 9. A ‘documenting social realities’ video made to showcase the vaccination process of a woman with Tourette’s syndrome (@thestrippyhippie)………………………………………………37
Figure 10. Example of an ‘acting’ video made to showcase the potential vaccine side effects (@ericryanericryan)……………………………………………………………………………………....38
Figure 11. An ‘acting’ video made to showcase vaccines having magnetic microchips (@hellomynameis_theo)…………………………………………………………………………………..39
Table 1. TikTok Affordances…………………………………………………..………………...............20
Table 2. Meta-Voicing Affordance Features………..…………..……………...................................26
Table 3. Visibility Affordance Features ………………..………………………………..............28
Table 4. Descriptive Statistics for Meta-Voicing Affordance Features …………….…...............30
Table 5. Frequency of Video Types ……………………………………………………...............33
REFERENCES
Aakhus, M., Ågerfalk, P. J., Lyytinen, K., & Te’eni, D. (2014). Symbolic action research in information systems. Mis Quarterly, 38(4), 1187-1200.
Aho Williamson, D. (2022, March 8). TikTok is eating into YouTube’s dominance – here’s what marketers should know. Insider Intelligence. https://www.emarketer.com/content/tiktok-youtube-marketers
Ajao, O., Bhowmik, D., & Zargari, S. (2018, July). Fake news identification on twitter with hybrid cnn and rnn models. In Proceedings of the 9th international conference on social media and society (pp. 226-230).
Ashley, J. (2022, April 30). 11 vlogging statistics that matter in 2022. Vlogging.Co.Uk. https://vlogging.co.uk/11-vlogging-statistics-that-matter-in-2022
Basch, C. H., Fera, J., Pellicane, A., & Basch, C. E. (2022). Handwashing videos on TikTok during the COVID-19 pandemic: Potential for disease prevention and health promotion. Infection, Disease & Health, 27(1), 31-37.
Basch, C. H., Meleo-Erwin, Z., Fera, J., Jaime, C., & Basch, C. E. (2021). A global pandemic in the time of viral memes: COVID-19 vaccine misinformation and disinformation on TikTok. Human Vaccines & Immunotherapeutics, 1-5.
BBC. (2020, June 04). Social media firms fail to act on Covid-19 fake news. https://www.bbc.com/news/technology-52903680
Belicove, M. E. (2011). Facebook posting techniques that really work. Entrepreneur.com. http://www.entrepreneur.com/blog/220166#.
Basch, C. H., Yalamanchili, B., & Fera, J. (2022). # Climate change on TikTok: a content analysis of videos. Journal of community health, 47(1), 163-167.
Bösch, M., Ricks, B., & Mozilla. (2021, November 5). Strategies for studying TikTok D]during the German election. Mozilla. https://foundation.mozilla.org/en/campaigns/strategies-for-studying-tiktok-during-the-german-election/
Brummette, J., DiStaso, M., Vafeiadis, M., & Messner, M. (2018). Read all about it: The politicization of “fake news” on Twitter. Journalism & Mass Communication Quarterly, 95(2), 497-517.
Burki, T. (2020). The online anti-vaccine movement in the age of COVID-19. The Lancet Digital Health, 2(10), e504-e505.
Caddell, N. (2022, May 16). How to get verified on TikTok: 5 steps to get your blue check. Hootsuite. https://blog.hootsuite.com/how-to-get-verified-on-tiktok/#:~:text=lights%20and%20iMovie.-,What%20does%20getting%20verified%20on%20TikTok%20mean%3F,to%20be%20targeted%20by%20copycats.
Calabrese, J. (2018, February 21). You like me! Analysis of user engagement with videos on the world’s biggest social media sites. Pex. https://pex.com/blog/analysis-of-user-engagement-videos-worlds-biggest-social-sites/
Cameron, L. D., & Chan, C. K. (2008). Designing health communications: Harnessing the power of affect, imagery, and self‐regulation. Social and Personality Psychology Compass, 2(1), 262-282.
Campan, A., Cuzzocrea, A., & Truta, T. M. (2017, December). Fighting fake news spread in online social networks: Actual trends and future research directions. In 2017 IEEE International Conference on Big Data (Big Data) (pp. 4453-4457). IEEE.
CDC. (2022, January 12). Possible side effects after getting the COVID-19 vaccine. CDC. https://www.cdc.gov/coronavirus/2019-ncov/vaccines/expect/after.html
Common Sense Media. (2019, August 12). New Survey Reveals Teens Get Their News from Social Media and YouTube. Common Sense Media. https://www.commonsensemedia.org/about-us/news/press-releases/new-survey-reveals-teens-get-their-news-from-social-media-and-youtube
Dayan, Z. (2018, April 2). Visual content: The future of storytelling. Forbes. https://www.forbes.com/sites/forbestechcouncil/2018/04/02/visual-content-the-future-of-storytelling/?sh=5570ad293a46
Dean, B. (2021a, September 7). How many people use YouTube in 2022. Backlinko. https://backlinko.com/youtube-users
Dean, B. (2021b, October 11). TikTok User Statistics: 2021Visual. Backlinko. https://backlinko.com/tiktok-users
De Choudhury, M., Morris, M. R., & White, R. W. (2014, April). Seeking and sharing health information online: comparing search engines and social media. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 1365-1376).
Deshpande, S. (2021, October 22). What is vlogging and why is it so popular? Make Use Of. https://www.makeuseof.com/what-is-vlogging-why-is-it-popular/
Deyan. (2022, April 29). 33+ Amazing TikTok Statistics You Should Know in 2022. TechJury https://techjury.net/blog/tiktok-statistics/#gref
Doyle, A. (2022, April 21). TikTok statistics – updated April 2022. Wallaroo. https://wallaroomedia.com/blog/social-media/tiktok-statistics/
Dubé, E., Laberge, C., Guay, M., Bramadat, P., Roy, R., & Bettinger, J. A. (2013). Vaccine hesitancy: an overview. Human vaccines & immunotherapeutics, 9(8), 1763-1773.
Gabarron, E., Bradway, M., Fernandez-Luque, L., Chomutare, T., Hansen, A. H., Wynn, R., & Årsand, E. (2018). Social media for health promotion in diabetes: study protocol for a participatory public health intervention design. BMC health services research, 18(1), 1-5.
Geyser, W. (2022, March 31). TikTok statistics – 63 TikTok stats you need to know [2022 update]. Influencer Marketing Hub. https://influencermarketinghub.com/tiktok-stats/#toc-8
Ghosh, I., (2020, February 15). Ranked: The 100 most spoken languages around the world. Visual Capitalist. https://www.visualcapitalist.com/100-most-spoken-languages/
Goldstein, C. S. (2009). Capturing the German eye: American visual propaganda in occupied Germany. London, UK: University of Chicago Press.
Grajales III, F. J., Sheps, S., Ho, K., Novak-Lauscher, H., & Eysenbach, G. (2014). Social media: a review and tutorial of applications in medicine and health care. Journal of medical Internet research, 16(2), e13.
Gui, X., Wang, Y., Kou, Y., Reynolds, T. L., Chen, Y., Mei, Q., & Zheng, K. (2017). Understanding the patterns of health information dissemination on social media during the Zika outbreak. In AMIA Annual Symposium Proceedings (Vol. 2017, p. 820). American Medical Informatics Association.
Elo, S., & Kyngäs, H. (2008). The qualitative content analysis process. Journal of advanced nursing, 62(1), 107-115.
Evans, S. K., Pearce, K. E., Vitak, J., & Treem, J. W. (2017). Explicating affordances: A conceptual framework for understanding affordances in communication research. Journal of Computer-Mediated Communication, 22(1), 35-52.
Feng, B., Malloch, Y. Z., Kravitz, R. L., Verba, S., Iosif, A. M., Slavik, G., & Henry, S. G. (2021). Assessing the effectiveness of a narrative-based patient education video for promoting opioid tapering. Patient Education and Counseling, 104(2), 329-336.
Fergie, G., Hilton, S., & Hunt, K. (2016). Young adults' experiences of seeking online information about diabetes and mental health in the age of social media. Health Expectations, 19(6), 1324-1335.
Finney Rutten, L. J., Blake, K. D., Greenberg-Worisek, A. J., Allen, S. V., Moser, R. P., & Hesse, B. W. (2019). Online health information seeking among US adults: measuring progress toward a healthy people 2020 objective. Public Health Reports, 134(6), 617-625.
Gaver, W. W. (1991, March). Technology affordances. In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 79-84).
Gibson, J.J. (1979). The Ecological Approach to Visual Perception. Houghton Mifflin.
Gibbs, J. L., Rozaidi, N. A., & Eisenberg, J. (2013). Overcoming the “ideology of openness”: Probing the affordances of social media for organizational knowledge sharing. Journal of Computer-Mediated Communication, 19(1), 102-120.
Hafezieh, N., & Eshraghian, F. (2017, June). Affordance theory in social media research: systematic review and synthesis of the literature. In 25th European Conference on Information Systems (ECIS 2017).
Haymes, A. T., & Harries, V. (2016). ‘How to stop a nosebleed’: an assessment of the quality of epistaxis treatment advice on YouTube. The Journal of Laryngology & Otology, 130(8), 749-754.
Hochbaum, G. M. (1958). Public participation in medical screening programs: A socio-psychological study (No. 572). US Department of Health, Education, and Welfare, Public Health Service, Bureau of State Services, Division of Special Health Services, Tuberculosis Program.
Islam, M. S., Sarkar, T., Khan, S. H., Mostofa Kamal, A. H., Hasan, S. M. M., Kabir, A., ... & Chughtai, A. A. (2020). COVID-19–Related Infodemic and Its Impact on Public Health: A Global Social Media Analysis. The American Journal of Tropical Medicine and Hygiene, tpmd200812.
Jewitt, C. E. (2009). The Routledge handbook of multimodal analysis. Routledge/Taylor & Francis Group.
Johns Hopkins (October, 2021) What is Coronavirus? Retrieved October 26, 2021, from https://www.hopkinsmedicine.org/health/conditions-and-diseases/coronavirus
Kaid, L. L., & Wadsworth, A. J. (1989). Content analysis, Measurement of Communication Behavior. Emmert P, Baker LL, eds.
Karahanna, E., Xu, S. X., Xu, Y., & Zhang, N. A. (2018). The needs–affordances–features perspective for the use of social media. Mis Quarterly, 42(3), 737-756.
Kohlbacher, F. (2005). The use of qualitative content analysis in case study research. In Forum Qualitative Sozialforschung/Forum: Qualitative Social Research (Vol. 7, No. 1, pp. 1-30). Institut für Qualitative Forschung.
Koller, U., Waldstein, W., Schatz, K. D., & Windhager, R. (2016). YouTube provides irrelevant information for the diagnosis and treatment of hip arthritis. International Orthopaedics, 40(10), 1995-2002. Kricorian, K., Civen, R., & Equils, O. (2021). COVID-19 vaccine hesitancy: misinformation and perceptions of vaccine safety. Human Vaccines & Immunotherapeutics, 1-8.
Leeuwen, T. V., & Jewitt, C. (2013). Handbook of visual analysis. Los Angeles: Sage.
Leonardi, P. M. (2011). When flexible routines meet flexible technologies: Affordance, constraint, and the imbrication of human and material agencies. MIS quarterly, 147-167.
Leonardi, P. M., & Barley, S. R. (2008). Materiality and change: Challenges to building better theory about technology and organizing. Information and organization, 18(3), 159-176.
Li, Y., Guan, M., Hammond, P., & Berrey, L. E. (2021). Communicating COVID-19 information on TikTok: a content analysis of TikTok videos from official accounts featured in the COVID-19 information hub. Health education research, 36(3), 261-271.
Li, H. O. Y., Pastukhova, E., Brandts-Longtin, O., Tan, M. G., & Kirchhof, M. G. (2022). YouTube as a source of misinformation on COVID-19 vaccination: a systematic analysis. BMJ global health, 7(3), e008334.
Limaye, R. J., Holroyd, T. A., Blunt, M., Jamison, A. F., Sauer, M., Weeks, R., ... & Gellin, B. (2021). Social media strategies to affect vaccine acceptance: a systematic literature review. Expert review of vaccines, 1-15.
McLachlan, S. (2021, October 19). How to Get More Views on TikTok: 14 Essential Strategies. Hootsuite. https://blog.hootsuite.com/how-to-get-more-views-on-tiktok/#:~:text=Different%20social%20media%20platforms%20measure,all%20count%20as%20new%20views.
Miller, E. (2020, June 29). As TikTok grapples with weightier topics, journalists are tuning in to deliver the news. Poynter. https://www.poynter.org/reporting-editing/2020/as-tiktok-
Newman, T. (2022, January 28). Top 10 countries with the largest number of TikTok users in 2022. Routenote. https://routenote.com/blog/countries-by-tiktok-users/
Nizam, A. (2021, May 19). What do people watch the most on YouTube in 2021? Lemonlight. https://www.lemonlight.com/blog/what-do-people-watch-on-youtube-in-2021/
Norman, D. A. (1988). The psychology of everyday things. Basic books.
Oh, S., Zhang, Y., & Park, M. S. (2016). Cancer information seeking in social question and answer services: identifying health-related topics in cancer questions on Yahoo! Answers.
Oliver, M. (2005). The problem with affordance. E-Learning and Digital Media, 2(4), 402-413.
Omicore. (2021, January 4). TikTok by the Numbers: Stats, Demographics & Fun Facts. Omnicore. https://www.omnicoreagency.com/tiktok-statistics/
O’Reilly, M., Dogra, N., Hughes, J., Reilly, P., George, R., & Whiteman, N. (2019). Potential of social media in promoting mental health in adolescents. Health promotion international, 34(5), 981-991.
Parchoma, G. (2014). The contested ontology of affordances: Implications for researching technological affordances for collaborative knowledge production. Computers in Human Behavior, 37, 360-368.
Pian, W., Song, S., & Zhang, Y. (2020). Consumer health information needs: A systematic review of measures. Information Processing & Management, 57(2), 102077.
Rus, H. M., & Cameron, L. D. (2016). Health communication in social media: message features predicting user engagement on diabetes-related Facebook pages. Annals of behavioral medicine, 50(5), 678-689.
Shopify. (2022, April 26). Most popular social media platforms in 2022. Shopify. https://www.shopify.com/blog/most-popular-social-media-platforms
Song, S., Zhao, Y. C., Yao, X., Ba, Z., & Zhu, Q. (2021). Short video apps as a health information source: an investigation of affordances, user experience and users’ intention to continue the use of TikTok. Internet Research.
Southerton, C. (2021). Lip-Syncing and Saving Lives: Healthcare Workers on TikTok. International Journal of Communication (19328036), 15.
TikTok. (2020, June 18). How TikTok recommends videos #ForYou. https://newsroom.tiktok.com/en-us/how-tiktok-recommends-videos-for-you
TikTok (2022a). Comments: Tiktok help center. Retrieved April 18, 2022, from https://support.tiktok.com/en/using-tiktok/messaging-and-notifications/comments
TikTok (2022b). Liking: Tiktok help center. https://support.tiktok.com/en/using-tiktok/exploring-videos/liking
TikTok (2022c). Sharing: Tiktok help center. https://support.tiktok.com/en/using-tiktok/exploring-videos/sharing
TikTok (2022d). Stitch: Tiktok help center. https://support.tiktok.com/en/using-tiktok/creating-videos/stitch
TikTok (2022e). #covidvaccine. https://www.tiktok.com/tag/covidvaccine?lang=en
Treem, J. W., & Leonardi, P. M. (2013). Social media use in organizations: Exploring the affordances of visibility, editability, persistence, and association. Annals of the International Communication Association, 36(1), 143-189.
ReferralMD. (2021, March 18). 24 outstanding statistics & figures on how social media has impacted the Health Care Industry. Retrieved October 26, 2021, from https://getreferralmd.com/2013/09/healthcare-social-media-statistics/.
Unni, Z., & Weinstein, E. (2021). Shelter in place, connect online: Trending TikTok content during the early days of the US COVID-19 pandemic. Journal of adolescent health, 68(5), 863-868.
Wardle, C. (2017). Fake news. It’s complicated. First Draft. Retrieved from https://medium.com/1st-draft/fake-news-its-complicated-d0f773766c79
Withagen, R., De Poel, H. J., Araújo, D., & Pepping, G. J. (2012). Affordances can invite behavior: Reconsidering the relationship between affordances and agency. New Ideas in Psychology, 30(2), 250-258.
Witteman, H. O., Fagerlin, A., Exe, N., Trottier, M. E., & Zikmund-Fisher, B. J. (2016). One-sided social media comments influenced opinions and intentions about home birth: An experimental study. Health Affairs, 35(4), 726-733.
WHO (2021, October). WHO coronavirus (COVID-19) dashboard. https://covid19.who.int/.
WHO (2022, March 16). Coronavirus disease (COVID-19): Vaccines. https://www.who.int/news-room/q-a-detail/coronavirus-disease-(covid-19)-vaccines?topicsurvey=v8kj13)&gclid=Cj0KCQjwiNSLBhCPARIsAKNS4_fWP4mfa3nuHopK38JM41oj-Kq6_o9CAiNm9I2u0Vezl5IRS29QyZEaAgqdEALw_wcB
Wu, D., Xu, H., & Fan, S. (2021). Research on consumers' health information consultation patterns. Aslib Journal of Information Management.
Zadrozny, B. (2021). On TikTok, audio gives new virality to misinformation. NBC News. https://www.nbcnews.com/tech/tech-news/tiktok-audio-gives-new-virality-misinformation-rcna1393
Zhang, Y., Sun, Y., & Xie, B. (2015). Quality of health information for consumers on the web: a systematic review of indicators, criteria, tools, and evaluation results. Journal of the Association for Information Science and Technology, 66(10), 2071-2084.
Zhang, Y., Sun, Y., & Kim, Y. (2017). The influence of individual differences on consumer's selection of online sources for health information. Computers in Human Behavior, 67, 303-312.
Zhu, C., Xu, X., Zhang, W., Chen, J., & Evans, R. (2020). How health communication via Tik Tok makes a difference: A content analysis of Tik Tok accounts run by Chinese provincial health committees. International journal of environmental research and public health, 17(1), 192
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
* *