Media variants, situation awareness, and protective public-health behaviors

References

• Abell, P. (1991). Rational choice theory. Aldershot, Hants, England; Brookfield, VT: E. Elgar.
   Google Scholar
• Adams, N. (2011). Review of the shallows: What the Internet is doing to our brains. Cognitive Technology, 16(1), 45–50.
   Google Scholar
• Austin, L., Liu, B. F., & Yan, J. (2012). How audiences use social media to navigate crisis information. Communication Currents, 7(3), 1–2.
   Google Scholar
• Becker, M. H. (1974). The health belief model and personal health behavior. Health Education Monographs, 2(4), 324–508. doi: 10.1177/109019817400200407
   Google Scholar
• Bilandzic, H. (2006). The perception of distance in the cultivation process: A theoretical consideration of the relationship between television content, processing experience, and perceived distance. Communication Theory, 16(3), 333–355. doi: 10.1111/j.1468-2885.2006.00273.x
   Web of Science ®Google Scholar
• Brewer, N. T., Chapman, G. B., Gibbons, F. X., Gerrard, M., McCaul, K. D., & Weinstein, N. D. (2007). Meta-analysis of the relationship between risk perception and health behavior: The example of vaccination. Health Psychology, 26(2), 136–145. doi: 10.1037/0278-6133.26.2.136
   PubMed Web of Science ®Google Scholar
• Brodie, M., Kjellson, N., Hoff, T., & Molly, P. (1999). Perceptions of Latinos, African Americans, and Whites on media as a health information source. Howard Journal of Communications, 10(3), 147–167. doi: 10.1080/106461799246799
   Google Scholar
• Brown, J. D., & Witherspoon, E. M. (2002). The mass media and American adolescents’ health. Journal of Adolescent Health, 31(6), 153–170. doi: 10.1016/S1054-139X(02)00507-4
   PubMed Web of Science ®Google Scholar
• Chaffee, S. H., & Schleuder, J. (1986). Measurement and effects of attention to media news. Human Communication Research, 13(1), 76–107. doi: 10.1111/j.1468-2958.1986.tb00096.x
   Web of Science ®Google Scholar
• Coleman, R., & Thorson, E. (2002). The effects of news stories that put crime and violence into context: Testing the public health model of reporting. Journal of Health Communication, 7(5), 401–425. doi: 10.1080/10810730290001783
   PubMed Web of Science ®Google Scholar
• Comer, J. S., Furr, J. M., Beidas, R. S., Babyar, H. M., & Kendall, P. C. (2008). Media use and children’s perceptions of societal threat and personal vulnerability. Journal of Clinical Child and Adolescent Psychology, 37(3), 622–630. doi: 10.1080/15374410802148145
   PubMed Web of Science ®Google Scholar
• Conrad, E. J., Becker, M., Powell, B., & Hall, K. C. (2018). Improving health promotion through the integration of technology, crowdsourcing, and social media. Health Promotion Practice, 1524839918811152–1524839918811152. doi: 10.1177/1524839918811152
   Google Scholar
• Cumming, G. (2009). Inference by eye: Reading the overlap of independent confidence intervals. Statistics in Medicine, 28(2), 205–220. doi: 10.1002/sim.3471
   PubMed Web of Science ®Google Scholar
• Czaja, R., Manfredi, C., & Price, J. (2003). The determinants and consequences of information seeking among cancer patients. Journal of Health Communication, 8(6), 529–562. doi: 10.1080/716100418
   PubMed Web of Science ®Google Scholar
• Endsley, M. R. (1988). Design and evaluation for situation awareness enhancement. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 32(2), 97–101. doi: 10.1177/154193128803200221
   Google Scholar
• Fox, S., Fallows, D., & Fellow, S. R. (2003). Internet health resources. Health (San Francisco) (July).
   Google Scholar
• Glik, D. C. (2007). Risk communication for public health emergencies. Annual Review of Public Health, 28, 33–54. doi: 10.1146/annurev.publhealth.28.021406.144123
   PubMed Web of Science ®Google Scholar
• Gollop, C. J. (1997). Health information-seeking behavior and older African American women. Bulletin of the Medical Library Association, 85(2), 141–146.
   PubMedGoogle Scholar
• Harris, D. M., & Guten, S. (1979). Health-protective behavior: An exploratory study. Journal of Health and Social Behavior, 20(1), 17–29. doi: 10.2307/2136475
   PubMed Web of Science ®Google Scholar
• Harwood, K., Bamett, B., & Wickms, C. (1988). Situational awareness: A conceptual and methodological framework. In F. E. McIntiw (Ed.), Proceedings of the 11th Symposium of Psychology in the Department of Defense (pp. 316–320). Colorado Springs. CO: U.S. Air Force Academy.
   Google Scholar
• Hauss, Y., & Eyferth, K. (2003). Securing future ATM-concepts’ safety by measuring situation awareness in ATC. Aerospace Science and Technology, 7(6), 417–427. doi: 10.1016/S1270-9638(02)00011-1
   Web of Science ®Google Scholar
• Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY: Guilford Press.
   Google Scholar
• Hayes, A. F., Montoya, A. K., & Rockwood, N. J. (2017). The analysis of mechanisms and their contingencies: Process versus structural equation modeling. Australasian Marketing Journal, 25(1), 76–81. doi: 10.1016/j.ausmj.2017.02.001
   Web of Science ®Google Scholar
• Hwang, Y., & Southwell, B. G. (2009). Science TV news exposure predicts science beliefs: Real world effects among a national sample. Communication Research, 36(5), 724–742. doi: 10.1177/0093650209338912
   Web of Science ®Google Scholar
• Jin, Y., Liu, B. F., & Austin, L. L. (2014). Examining the role of social media in effective crisis management: The effects of crisis origin, information form, and source on publics’ crisis responses. Communication Research, 41(1), 74–94. doi: 10.1177/0093650211423918
   Web of Science ®Google Scholar
• Kellermann, K., & Park, H. S. (2001). Situational urgency and conversational retreat: When politeness and efficiency matter. Communication Research, 28(1), 3–47. doi: 10.1177/009365001028001001
   Web of Science ®Google Scholar
• Kim, W.-C., & Brown, J. (2009). Effects of media on personal and public health. In J. Bryant & D. Zillmann (Eds.), Media effects: Advances in theory and research (pp. 389–415). Hillsdale, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Kurtz, M. E., Kurtz, J. C., Johnson, S. M., & Cooper, W. (2001). Sources of information on the health effects of environmental tobacco smoke among African-American children and adolescents. Journal of Adolescent Health, 28(6), 458–464. doi: 10.1016/S1054-139X(01)00197-5
   PubMed Web of Science ®Google Scholar
• Lecouturier, J., Rodgers, H., Murtagh, M. J., White, M., Ford, G. A., & Thomson, R. G. (2010). Systematic review of mass media interventions designed to improve public recognition of stroke symptoms, emergency response and early treatment. BMC Public Health, 10(1), 784–784. doi: 10.1186/1471-2458-10-784
   PubMedGoogle Scholar
• Lin, C. J., Hsieh, T.-L., Yang, C.-W., & Huang, R.-J. (2016). The impact of computer-based procedures on team performance, communication, and situation awareness. International Journal of Industrial Ergonomics, 51, 21–29. doi: 10.1016/j.ergon.2014.12.001
   Web of Science ®Google Scholar
• Liu, B. F., & Kim, S. (2011). How organizations framed the 2009 H1N1 pandemic via social and traditional media: Implications for U.S. health communicators. Public Relations Review, 37(3), 233–244. doi: 10.1016/j.pubrev.2011.03.005
   Web of Science ®Google Scholar
• Maddux, J. E., & Rogers, R. W. (1983). Protection motivation and self-efficacy: A revised theory of fear appeals and attitude change. Journal of Experimental Social Psychology, 19(5), 469–479. doi: 10.1016/0022-1031(83)90023-9
   Web of Science ®Google Scholar
• Martella, C., Li, J., Conrado, C., & Vermeeren, A. (2017). On current crowd management practices and the need for increased situation awareness, prediction, and intervention. Safety Science, 91, 381–393. doi: 10.1016/j.ssci.2016.09.006
   Web of Science ®Google Scholar
• Miller, S. M., Shoda, Y., & Hurley, K. (1996). Applying cognitive-social theory to health-protective behavior: Breast self-examination in cancer screening. Psychological Bulletin, 119(1), 70–94. doi: 10.1037/0033-2909.119.1.70
   PubMed Web of Science ®Google Scholar
• Mintz, A. P. (2012). Web of deceit: Misinformation and manipulation in the age of social media. Medford, NJ: CyberAge Books.
   Google Scholar
• Morley, D. (1993). Active audience theory: Pendulums and pitfalls. Journal of Communication, 43(4), 13–19. doi: 10.1111/j.1460-2466.1993.tb01299.x
   Web of Science ®Google Scholar
• Nelson, C., Lurie, N., Wasserman, J., & Zakowski, S. (2007). Conceptualizing and defining public health emergency preparedness. American Journal of Public Health, 97(Suppl 1), S9–S11. doi: 10.2105/AJPH.2007.114496
   PubMedGoogle Scholar
• Pentina, I., & Tarafdar, M. (2014). From “information” to “knowing”: Exploring the role of social media in contemporary news consumption. Computers in Human Behavior, 35, 211–223. doi: 10.1016/j.chb.2014.02.045
   Web of Science ®Google Scholar
• Potter, W. J. (1986). Perceived reality and the cultivation hypothesis. Journal of Broadcasting & Electronic Media, 30(2), 159–174. doi: 10.1080/08838158609386617
   Web of Science ®Google Scholar
• Prentice-Dunn, S., & Rogers, R. W. (1986). Protection motivation theory and preventive health: Beyond the health belief model. Health Education Research, 1(3), 153–161. doi: 10.1093/her/1.3.153
   Google Scholar
• Procopio, C. H., & Procopio, S. T. (2007). Do you know what it means to miss New Orleans? Internet communication, geographic community, and social capital in crisis. Journal of Applied Communication Research, 35(1), 67–87. doi: 10.1080/00909880601065722
   Web of Science ®Google Scholar
• Renn, O. (1998). The role of risk perception for risk management. Reliability Engineering & System Safety, 59(1), 49–62. doi: 10.1016/S0951-8320(97)00119-1
   Web of Science ®Google Scholar
• Reynolds, B., & Seeger, M. W. (2005). Crisis and emergency risk communication as an integrative model. Journal of Health Communication, 10(1), 43–55. doi: 10.1080/10810730590904571
   PubMed Web of Science ®Google Scholar
• Rimal, R. N., & Real, K. (2003). Perceived risk and efficacy beliefs as motivators of change. Human Communication Research, 29(3), 370–399. doi: 10.1111/j.1468-2958.2003.tb00844.x
   Web of Science ®Google Scholar
• Sarter, N. B., & Woods, D. D. (1991). Situation awareness: A critical but ill-defined phenomenon. The International Journal of Aviation Psychology, 1(1), 45–57. doi: 10.1207/s15327108ijap0101_4
   Google Scholar
• Schultz, F., Utz, S., & Göritz, A. (2011). Is the medium the message? Perceptions of and reactions to crisis communication via Twitter, blogs and traditional media. Public Relations Review, 37(1), 20–27. doi: 10.1016/j.pubrev.2010.12.001
   Web of Science ®Google Scholar
• Seale, C. (2003). Health and media: An overview. Sociology of Health & Illness, 25(6), 513–531. doi: 10.1111/1467-9566.t01-1-00356
   PubMed Web of Science ®Google Scholar
• Seeger, M. W., Sellnow, T., & Ulmer, R. R. (1998). Communication, organization and crisis. Annals of the International Communication Association, 21, Communication Yearbook 21. doi: 10.1080/23808985.1998.11678952
   Google Scholar
• Shi, J., & Smith, S. W. (2016). The effects of fear appeal message repetition on perceived threat, perceived efficacy, and behavioral intention in the Extended Parallel Process Model. Health Communication, 31(3), 275–286. doi: 10.1080/10410236.2014.948145
   PubMed Web of Science ®Google Scholar
• Shoemaker, P. J., & Vos, T. P. (2009). Gatekeeping theory. London England, New York: Routledge.
   Google Scholar
• Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychological Methods, 7(4), 422–445. doi: 10.1037/1082-989X.7.4.422
   PubMed Web of Science ®Google Scholar
• Steptoe, A., & Wardle, J. (2001). Health behaviour, risk awareness and emotional well-being in students from Eastern Europe and Western Europe. Social Science and Medicine, 53(12), 1621–1630. doi: 10.1016/S0277-9536(00)00446-9
   PubMed Web of Science ®Google Scholar
• Tewksbury, D., Jones, J., Peske, M. W., Raymond, A., & Vig, W. (2000). The interaction of news and advocate frames: Manipulating audience perceptions of a local public policy issue. Journalism & Mass Communication Quarterly, 77(4), 804–829. doi: 10.1177/107769900007700406
   Web of Science ®Google Scholar
• Thomas, T. L., Schrock, C., & Friedman, D. B. (2016). Providing health consumers with emergency information: A systematic review of research examining social media use during public crises. Journal of Consumer Health on the Internet, 20(1/2), 19–40. doi: 10.1080/15398285.2016.1142927
   Web of Science ®Google Scholar
• Tobias, E. (2011). Using Twitter and other social media platforms to provide situational awareness during an incident. Journal of Business Continuity & Emergency Planning, 5(3), 208–223.
   PubMedGoogle Scholar
• Van de Walle, B., Brugghemans, B., & Comes, T. (2016). Improving situation awareness in crisis response teams: An experimental analysis of enriched information and centralized coordination. International Journal of Human-Computer Studies, 95, 66–79. doi: 10.1016/j.ijhcs.2016.05.001
   Web of Science ®Google Scholar
• Vieweg, S., Hughes, A. L., Starbird, K., & Palen, L. (2010). Microblogging during two natural hazards events: What Twitter may contribute to situational awareness. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Atlanta, GA, 1079–1088. doi: 10.1145/1753326.1753486
   Google Scholar
• 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. doi: 10.1080/10810730.2015.1064495
   PubMed Web of Science ®Google Scholar
• Wåhlberg, A. A. F., & Sjöberg, L. (2000). Risk perception and the media. Journal of Risk Research, 3(1), 31–50. doi: 10.1080/136698700376699
   Google Scholar
• Wakefield, M. A., Loken, B., & Hornik, R. C. (2010). Use of mass media campaigns to change health behaviour. Lancet (London, England), 376(9748), 1261–1271. doi: 10.1016/S0140-6736(10)60809-4
   PubMed Web of Science ®Google Scholar
• Wang, S.-L., Charron-Prochownik, D., Sereika, S. M., Siminerio, L., & Kim, Y. (2006). Comparing three theories in predicting reproductive health behavioral intention in adolescent women with diabetes. Pediatric Diabetes, 7(2), 108–115. doi: 10.1111/j.1399-543X.2006.00154.x
   PubMed Web of Science ®Google Scholar
• Westerman, D., Spence, P. R., & Van Der Heide, B. (2014). Social media as information source: Recency of updates and credibility of information. Journal of Computer-Mediated Communication, 19(2), 171–183. doi: 10.1111/jcc4.12041
   Web of Science ®Google Scholar
• Witte, K., Cameron, K. A., McKeon, J. K., & Berkowitz, J. M. (1996). Predicting risk behaviors: Development and validation of a diagnostic scale. Journal of Health Communication, 1(4), 317–342. doi: 10.1080/108107396127988
   PubMedGoogle Scholar
• Yang, Z. J., McComas, K., Gay, G., Leonard, J. P., Dannenberg, A. J., & Dillon, H. (2010). Motivation for health information seeking and processing about clinical trial enrollment. Health Communication, 25(5), 423–436. doi: 10.1080/10410236.2010.483338
   PubMed Web of Science ®Google Scholar
• Yin, J., Lampert, A., Cameron, M., Robinson, B., & Power, R. (2012). Using social media to enhance emergency situation awareness. IEEE Intelligent Systems, 27(6), 52–59. doi: 10.1109/MIS.2012.6
   Web of Science ®Google Scholar