An Assessment of the Rapid Decline of Trust in US Sources of Public Information about COVID-19

References

• Abraham, T. (2009). Risk and outbreak communication: Lessons from alternative paradigms. Bulletin of the World Health Organization, 87, 604–607. doi:10.2471/BLT.08.058149
   PubMed Web of Science ®Google Scholar
• Ali, S. H., Foreman, J., Tozan, Y., Capasso, A., Jones, A. M., & DiClemente, R. J. (2020). Trends and predictors of COVID-19 information sources and their relationship with knowledge and beliefs related to the pandemic: Nationwide cross-sectional study. JMIR Public Health and Surveillance, 6(4), e21071. doi:10.2196/21071
   PubMedGoogle Scholar
• Allington, D., Duffy, B., Wessely, S., Dhavan, N., & Rubin, J. (2020). Health-protective behaviour, social media usage and conspiracy belief during the COVID-19 public health emergency. Psychological Medicine, (1–7), 1–7. doi:10.1017/S003329172000224X
   PubMed Web of Science ®Google Scholar
• Balog-Way, D. H. P., & McComas, K. A. (2020). COVID-19: Reflections on trust, tradeoffs, and preparedness. Journal of Risk Research, 23, 838–848. doi:10.1080/13669877.2020.1758192
   Web of Science ®Google Scholar
• Berinsky, A. J., Huber, G. A., & Lenz, G. S. (2012). Evaluating online labor markets for experimental research: Amazon.com’s mechanical turk. Political Analysis, 20(3), 351–368. doi:10.1093/pan/mpr057
   Web of Science ®Google Scholar
• Cairns, G., de Andrade, M., & MacDonald, L. (2013). Reputation, relationships, risk communication, and the role of trust in the prevention and control of communicable disease: A review. Journal of Health Communication, 18(12), 1550–1565. doi:10.1080/10810730.2013.840696
   PubMed Web of Science ®Google Scholar
• Chandler, J., & Shapiro, D. (2016). Conducting clinical research using crowdsourced convenience samples. Annual Review of Clinical Psychology, 12(1), 53–81. doi:10.1146/annurev-clinpsy-021815-093623
   PubMed Web of Science ®Google Scholar
• Cuffee, Y. L., Hargraves, J. L., Rosal, M., Briesacher, B. A., Schoenthaler, A., Person, S., … Allison, J. (2013). Reported racial discrimination, trust in physicians, and medication adherence among inner-city African Americans with hypertension. American Journal of Public Health, 103(11), 55–62. doi:10.2105/AJPH.2013.301554
   Web of Science ®Google Scholar
• de Bruin, W. B., Saw, H., & Goldman, D. P. (2020). Political polarization in US residents’ COVID-19 risk perceptions, policy preferences, and protective behaviors. Journal of Risk and Uncertainty, 61, 177–194.
   PubMed Web of Science ®Google Scholar
• Follmer, D., Sperline, R., & Suen, H. (2017). The role of MTurk in education research: Advantages, issues, and future directions. Educational Researcher, 46(6), 329–334. doi:10.3102/0013189X17725519
   Web of Science ®Google Scholar
• Gilson, L. (2003). Trust and the development of health care as a social institution. Social Science & Medicine, 56, 1453–1468. doi:10.1016/S0277-9536(02)00142-9
   PubMed Web of Science ®Google Scholar
• Gollwitzer, A., Martel, C., Brady, W. J., Pärnamets, P., Freedman, I. G., Knowles, E. D., & Van Bavel, J. J. (2020). Partisan differences in physical distancing are linked to health outcomes during the COVID-19 pandemic. Nature Human Behaviour, 4(11), 1186–1197.
   PubMed Web of Science ®Google Scholar
• Huff, C., & Tingley, D. (2015). “Who are these people?” Evaluating the demographic characteristics and political preferences of MTurk survey respondents. Research and Politics, 2, 3. doi:10.1177/2053168015604648
   Web of Science ®Google Scholar
• Jacobs, E. A., Rolle, I., Ferrans, C. E., Whitaker, E. E., & Warnecke, R. B. (2006). Understanding African Americans’ views of the trustworthiness of physicians. Journal of General Internal Medicine, 21(6), 642–647. doi:10.1111/j.1525-1497.2006.00485.x
   PubMed Web of Science ®Google Scholar
• Jurkowitz, M., Mitchell, A., Shearer, E., & Walker, M. (2020). U.S. media polarization and the 2020 election: A nation divided. Retrieved from https://www.journalism.org/2020/01/24/democrats-report-much-higher-levels-of-trust-in-a-number-of-news-sources-than-republicans/
   Google Scholar
• Kanekar, A. S., & Thombre, A. (2019). Fake medical news: Avoiding pitfalls and perils. Family Medicine and Community Health, 7(4), 1–4. doi:10.1136/fmch-2019-000142
   Web of Science ®Google Scholar
• Kühberger, A. (1998). The influence of framing on risky decisions: A meta-analysis. Organizational Behavior and Human Decision Processes, 75(1), 23–55. doi:10.1006/obhd.1998.2781
   PubMed Web of Science ®Google Scholar
• Larson, H., Leask, J., Aggett, S., Sevdalis, N., & Thomson, A. (2013). A multidisciplinary research agenda for understanding vaccine-related decisions. Vaccines, 1(3), 293–304. doi:10.3390/vaccines1030293
   PubMedGoogle Scholar
• Larson, H. J., Clarke, R. M., Jarrett, C., Eckersberger, E., Levine, Z., Schulz, W. S., & Paterson, P. (2018). Measuring trust in vaccination: A systematic review. Human Vaccines & Immunotherapeutics, 14(7), 1599–1609. doi:10.1080/21645515.2018.1459252
   PubMed Web of Science ®Google Scholar
• Larson, H. J., Jarrett, C., Eckersberger, E., Smith, D. M., & Paterson, P. (2014). Understanding vaccine hesitancy around vaccines and vaccination from a global perspective: A systematic review of published literature, 2007–2012. Vaccines, 32(19), 2150–2159. doi:10.1016/j.vaccine.2014.01.081
   PubMed Web of Science ®Google Scholar
• Lazer, D. M. J., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., … Zittrain, J. L. (2018). The science of fake news: Addressing fake news requires a multidisciplinary effort. Science, 359(6380), 1094–1096. doi:10.1126/science.aao2998
   PubMed Web of Science ®Google Scholar
• Lee, T.-T. (2010). Why they don’t trust the media: An examination of factors predicting trust. American Behavioral Scientist, 54(1), 8–21. doi:10.1177/0002764210376308
   Web of Science ®Google Scholar
• Lipton, E., Goodnough, A., Shear, M., Twohey, M., Mandavilli, A., Fink, S., & Walker, M. (2020). The C.D.C. waited ‘Its entire existence for this moment.’ what went wrong? Retrieved from https://www.nytimes.com/2020/06/03/us/cdc-coronavirus.html.
   Google Scholar
• MacDonald, N. E. (2015). Vaccine hesitancy: Definition, scope and determinants. Vaccine, 33(34), 4161–4164. doi:10.1016/j.vaccine.2015.04.036
   PubMed Web of Science ®Google Scholar
• Menon, K., & Goh, K. T. (2005). Transparency and trust: Risk communications and the Singapore experience in managing SARS. Journal of Communication Management, 9(4), 375–383. doi:10.1108/13632540510621614
   Google Scholar
• Miller, G. (2020). Researchers are tracking another pandemic, too—of coronavirus misinformation. Retrieved from https://www.sciencemag.org/news/2020/03/researchers-are-tracking-another-epidemic-too-misinformation
   Google Scholar
• Motta, M., Stecula, D., & Farhart, C. (2020). How right-leaning media coverage of COVID-19 facilitated the spread of misinformation in the early stages of the pandemic in the U.S. Canadian Journal of Political Science. Revue Canadienne De Science Politique, 1–8. doi:10.1017/S0008423920000396
   Web of Science ®Google Scholar
• Necka, E. A., Cacioppo, S., Norman, G. J., & Cacioppo, J. T. (2016). Measuring the prevalence of problematic respondent behaviors among MTurk, campus, and community participants. PLoS ONE, 11(6), 1–19. doi:10.1371/journal.pone.0157732
   Web of Science ®Google Scholar
• Paolacci, G., & Chandler, J. (2014). Inside the Turk: Understanding mechanical Turk as a participant pool. Current Directions in Psychological Science, 23(3), 184–188. doi:10.1177/0963721414531598
   Web of Science ®Google Scholar
• Pennycook, G., & Rand, D. G. (2019). Fighting misinformation on social media using crowdsourced judgments of news source quality. Proceedings of the National Academy of Sciences of the United States of America, 116(7), 2521–2526. doi:10.1073/pnas.1806781116
   PubMed Web of Science ®Google Scholar
• Peters, A., Tartari, E., Lotfinejad, N., Parneix, P., & Pittet, D. (2018). Fighting the good fight: The fallout of fake news in infection prevention and why context matters. Journal of Hospital Infection, 100(4), 365–370. doi:10.1016/j.jhin.2018.08.001
   PubMed Web of Science ®Google Scholar
• Pew Research Center. (2020). Election news pathways project. Retrieved from https://www.pewresearch.org/pathways-2020/covidegfp_f/total_us_adults/us_adults/
   Google Scholar
• Rouse, S. V. (2015). A reliability analysis of mechanical Turk data. Computers in Human Behavior, 43, 304–307. doi:10.1016/j.chb.2014.11.004
   Web of Science ®Google Scholar
• Sbaffi, L., & Rowley, J. (2017). Trust and credibility in web-based health information: A review and agenda for future research. Journal of Medical Internet Research, 19(6), 1–17. doi:10.2196/jmir.7579
   Web of Science ®Google Scholar
• Scheufele, D. A., & Krause, N. M. (2019). Science audiences, misinformation, and fake news. Proceedings of the National Academy of Sciences of the United States of America, 116(16), 7662–7669. doi:10.1073/pnas.1805871115
   PubMed Web of Science ®Google Scholar
• Shavers, V. L., Lynch, C. F., & Burmeister, L. F. (2000). Knowledge of the Tuskegee Study and its impact on the willingness to participate in medical research studies. Journal of the National Medical Association, 92(12), 563–572.
   PubMed Web of Science ®Google Scholar
• Shimizu, K. (2020). 2019-nCoV, fake news, and racism. The Lancet, 395(10225), 685–686. doi:10.1016/S0140-6736(20)30357-3
   PubMed Web of Science ®Google Scholar
• Strickland, J. C., & Stoops, W. W. (2019). The use of crowdsourcing in addiction science research: Amazon mechanical Turk. Experimental and Clinical Psychopharmacology, 27(1), 1–18. doi:10.1037/pha0000235
   PubMed Web of Science ®Google Scholar
• Tversky, A., & Kahneman, D. (1991). Loss aversion in riskless choice: A reference-dependent model. The Quarterly Journal of Economics, 106(4), 1039–1061. doi:10.2307/2937956
   Web of Science ®Google Scholar
• Wang, Y., McKee, M., Torbica, A., & Stuckler, D. (2019). Systematic literature review on the spread of health-related misinformation on social media. Social Science and Medicine, 240(August), 112552. doi:10.1016/j.socscimed.2019.112552
   PubMed Web of Science ®Google Scholar
• Young, J., & Young, K. (2019). Don’t get lost in the crowd: best practices for using amazon’s mechanical turk in behavioral research. Journal of the Midwest Association for Information Systems, (July), 7–34. doi:10.17705/3jmwa.000050
   Google Scholar
• Zhao, E., Wu, Q., Crimmins, E. M., & Ailshire, J. A. (2020). Media trust and infection mitigating behaviours during the COVID-19 pandemic in the USA. BMJ Global Health, 5(10), e003323. doi:10.1136/bmjgh-2020-003323
   PubMed Web of Science ®Google Scholar