Character of COVID-19 Prevention Information of CDC and its Impact on Online Engagement

Abstract

Alhabash, S., McAlister, A., Lou, C., Hagerstrom, A. (2015). From clicks to behaviors: the mediating effect of intentions to like, share, and comment on the relationship between message evaluations and offline behavioral intentions. Journal of Interactive Advertising, 15(2), 82-96. DOI: 10.1080/15252019.2015.1071677.

Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84,191-215. https://doi.org/10.1037/0033-295X.84.2.191

Barbosa, L., & Feng, J. (2010). Robust sentiment detection on twitter from biased and noise data. COLING '10: Proceedings of the 23rd International Conference on Computational Linguistics, 36-44.

Brehm, J.W., Strires, L.K., Sensenig, J., & Shaban, J. (1966). The attractiveness of an eliminated choice alternative. Journal of Experimental Social Psychology, 2,301-313.

Brehm, S.S., & Brehm, J.W. (1981).Psychological reactance: A theory of freedom and control. New York, NY: Academic Press.

Bronner, F., & Neijens, P. (2006). Audience experiences of media context and embedded advertising: A comparison of eight media. International Journal of Market Research, 48, 81-100. https://doi.org/10.1177/147078530604800106

CDC (August, 8th, 2020). Cases in the U.S. https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html

Chen, L., Guo, Y., Shi, J. (2019). Social support seeking on social media among Chinese gay men living with HIV/AIDS: the role of perceived threat. Telemedicine and e-Health. 25(7), 655-659. https://doi.org/10.1089/tmj.2018.0136

Chen, L., Yang, X., Fu, L., Liu, X. (2019). Using the Extended Parallel Process Model to Examine the Nature and Impact of Breast Cancer Prevention Information on Mobile-Based Social Media: Content Analysis. JMIR mHealth and uHealth. 7(6). DOI: 10.2196/13987

Chou, W.Y., Prestin, A., Lyons, C., Wen, K.Y. (2013). Web 2.0 for health promotion: reviewing the current evidence. American Journal of Public Health, 103(1), 9-18. DOI: 10.2105/AJPH.2012.301071.

Crook, B., Glowacki, E.M., Suran, M., Harris, J.K., & Bernhardt, J.M.(2016).Content analysis of a live CDC Twitter chat during the 2014 Ebola outbreak. Communication Research Reports, 33(4), 349-355.DOI:10.1080/08824096.2016.1224171

Crutzen, R., deNooijer, J., Brouwer, W., Oenema, A., Brug, J., & de Vries, N.K. (2011). Strategies to facilitate exposure to internet-delivered health behavior change interventions aimed adolescent or young adults: A systematic review. Health Education & Behavior, 38, 49-62. DOI: 10.1177/1090198110372878

Dillard, J.P. & Shen, L. (2005). On the nature of reactance and the role in persuasive health communication. Communication Monographs, 72,144-168.

Gostin, L.O. (2000). Public health law: Power, duty, restraint. Berkeley.CA: University of California Press.

Helene, B. (2012). Measuring social media and the greater digital landscape, Computers In Libraries, 32(7), 27-29.

Jiang, S., & Beaudoin, C.E. (2016).Smoking prevention in China: A content analysis of anti-smoking social media campaign. Journal of health Communication, 21, 755-764. DOI:10.1080/10810730.2016.1157653

Krippendorff, K. (1970).Estimating the reliability, systematic error and random error of interval data. Educational and Psychological Measurement, 30, 61-70. DOI: 10.1177/001316447003000105

Kim, Y., & Kim, J.H. (2020).Using photos for public health communication: A computational analysis of the centers for disease control and prevention Instagram photos and public responses. Health Informatics Journal, 00(0), 1-22. DOI: 10.1177/1460458219896673

McKay, D.L., Berkowitz, J.M., Blumberg, J.B., & Goldberg, J.P. (2004). Communicating cardiovascular disease risk due to elevated homocysteine levels: Using the EPPM to develop print materials. Health Education & Behavior, 31,355-371. DOI: 10.1177/1090198104263353

O'Connor, B., Balasubramanyan, R., Routledge, B.R., & Smith, N.A. (2010). From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series. AAAI Publications, Fourth International AAAI Conference on Weblogs and Social Media.https://www.scribd.com/document/31302916/From-Tweets-to-Polls-Linking-Text-Sentiment-to-Public-Opinion-Time-Series

O'Keefe, D.J. & Jensen, J.D. (2007). The relative persuasiveness of Gain-framed Loss-Framed messages for encouraging disease prevention behaviors: A meta-analytic review. Journal of Health communication, 12,633-644. DOI: 10.1080/10810730701615198

Park, H., Reber, B.H., & Chon, M.G. (2015). Tweeting as health communication: health organizations' use of Twitter for health promotion and public engagement. Journal of Health Communication: International Perspectives, 21,188-198. DOI: 10.1080/10810730.2015.1058435

Platt, T, Platt, J, Thiel, D.B., Kardia, S.L.R. (2016). Facebook advertising across an engagement spectrum: a case example for public health communication. JMIR Public Health Surveillance, 2(1):e27. DOI: 10.2196/publichealth.5623

Milne, S., Sheeran, P. & Orbell, S. (2000). Prediction and intervention in health-related behavior: A meta-analytic review of protection motivation theory. Journal of Applied Social Psychology 30, 106-143. https://doi.org/10.1111/j.1559-1816.2000.tb02308.x

Neiger, B.L., Thackeray, R., Burton, S.H. Thackeray, C.R., & Reese, J.H. (2013).Use of Twitter among local health departments: An analysis of information sharing engagement, and action. Journal of Medical Internet Research, 15（8), 177. DOI: 10.2196/jmir.2775.

Nyilasy, G., & Reid, L.N. (2009). Agency practitioner theories of how advertising works. Journal of Advertising, 38, 81-96. https://doi.org/10.2753/JOA0091-3367380306

Rains, S.A., & Turner, M. (2007). Psychological reactance and persuasive health communication: A test and extension of the intertwined model. Human Communication Research, 33(2), 241-269. https://doi.org/10.1111/j.1468-2958.2007.00298.x

Rus, H.M., & Cameron, L.D. (2016).Health Communication in social media: Message features predicting user engagement on diabetes-relate Facebook page. Annals of Behavioral Medicine, 50,678-689. DOI: 10.1007/s12160-016-9793-9

Salovery, P., Schneider, T.R., & Apanovitch, A.M. (2002) .Messages framing in the prevention and early detection of illness. In J. P. Dillard & M. Pfau (Eds.). The persuasion handbook: Developments in theory and practice (pp.391-406).Thousand Oaks, CA: Sage.

Shi, J.Y & Chen, L. (2014). Social support on Weibo for people living with HIV/AIDS in China: a quantitative content analysis. Chinese Journal of Communication, 7(3):285-298. DOI: 10.1080/17544750.2014.926954.

Stavrakantonakis, I., Gagui, A, E., toma, Il, & Fensel, D. (2013). Towards online engagement via the social web. Paper presented at the First International Conference on Building and Exploring Web Based Environments, Seville, Spain.

Strecher, V. J., McClure, J.Alexander, G., Chakraborty, B., Nair, V., Konkel, J., Pomerleau, O. (2008). The role of engagement in a tailored web-based smoking cessation program: Randomized controlled trial. Journal of Medical Internet Research, 10(5), e36.doi:10.2196/jmir.1002

Thackeray,R., Neiger,B.L., Smith, A.K.& Van Wagenen, S.B.(2012).Adoption and use of social media among public health departments. BMC Public Health, 12,242.

Tumasjan, A., Sprenger, T.O., Sandner, P.G., & Welpe, I.M. (2010).Predicting elections with twitter: What 140 characters reveal about political sentiment. In Proc.4th Intl. AAAI. Conf. on Weblogs and Social media (ICWSM).

Thrasher J. F., Swayampakala K., Cummings K. M., Hammond D., Anshari D., Krugman D. M., Hardin J. W. (2016). Cigarette package inserts can promote efficacy beliefs and sustained smoking cessation attempts: A Longitudinal assessment of an innovative policy in Canada. Preventive Medicine, 88:59-65. DOI: 10.1016/j.ypmed.2016.03.006.

Tversky, A., & Kahneman, D. (1981).The framing of decisions and the psychology of choice. Science, 211, 453-458. . DOI: 10.1126/science.7455683.

Vos, S.C. & Buckner, M.M. (2016). Social Media Messages in an Emerging Health Crisis: Tweeting Bird Flu. Journal of Health Communication, 21(3), 301-308.https://doi-org.wiulibraries.idm.oclc.org/10.1080/10810730.2015.1064495

Wakefield, M., Loken, B., Hornik, R. (2010). Use of mass media campaigns to change health behaviour. Lancet, 376(9748), 1261-71. DOI: 10.1016/S0140-6736(10)60809-4.

White, C.M. (2011). Social media, crisis communication, and emergency management: Leveraging Web2.0 technologies. Boca Raton, FL: CRC Press.

Witte, K. (1991). Preventing AIDS through persuasive communication: Fear appeals and preventive-action efficacy. Unpublished doctoral dissertation, University of California, Irvine.

Witte, K (1992), Putting the fear back into fear appeals: The extended parallel process model. Communication Monographs, 59(4):329-349, https://doi.org/10.1080/03637759209376276

Witte, K. (1994).Fear control and danger control: A test of the extended parallel process model (EPPM).Communication Monographs, 61, 113-134. DOI: 10.1080/03637759409376328

Witte, K., & Allen, M. (2000). A meta-analysis of fear appeals: Implications for effective public health campaign. Health Education and Behavior, 27(5), 591-615. https://doi.org/10.1177/109019810002700506

Wojcik, S., & Hughes, A. (2019, APRIL 24).Sizing Up Twitter Users.https://www.pewresearch.org/internet/2019/04/24/sizing-up-twitter-users/

Yates, D., & Paquette, S. (2011).Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake. International Journal of Information Management, 31(1), 6-13.DOI:10.1016/j.ijinfomgt.2010.10.001