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Blogging during a Crisis: Threat and Efficacy in Online Communication during a Hurricane

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Abstract (2. Language): 
Analyses of weather blogs reveal topics discussed by bloggers before Hurricane Ike. Messages included all four components (perceived susceptibility, perceived severity, response efficacy, and self-efficacy) of the Extended Parallel Process Model only 13% of the time. As time approached hurricane landfall, findings suggest bloggers fail to motivate protective behavior, for which threat and efficacy appeals must be present. The threat/efficacy disproportion could have profound effects when one considers the timing of the messages. Overall, perceived severity appeared most frequently in posts, and response efficacy was present more in readers’ comments.
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REFERENCES

References: 

Aguirre, B.E. (2004). Homeland security warnings: Lessons learned and unlearned.
International Journal of Mass Emergencies and Disasters, 22(2), 103-115.
Barnes, M. D., Hanson, C. L., Novilla, L. M. B., Meacham, A. T., McIntyre, E., & Erickson,
B. C. (2008). Analysis of media agenda setting during and after Hurricane Katrina:
Implications of emergency preparedness, disaster response, and disaster policy.
American Journal of Public Health, 98(4), 604-610.
Bucher, H. J. (2002). Crisis communication and the Internet: Risk and trust in global media.
First Monday, 7(4). Retrieved March 3, 2009 from
http://www.firstmonday.org/issues/issue7_4/bucher/
Cho, H., & Witte, K. (2005). Managing fear in public health campaigns: A theory-based
formative evaluation process. Health Promotion Practice, 6(4), 482–490.
Choi, Y., & Lin, Y. H. (2008). A content analysis of the newspaper coverage of the three
major hurricanes in 2005. Public Relations Review, 34, 294-296.
Cohen, J. (1960). A coefficient of agreement of nominal scales. Educational and
Psychological Measurement, 20(1), 37-46.
Dow, K., & Cutter, S. L. (2000). Public orders and personal opinions: Household strategies
for hurricane risk assessment. Environmental Hazards, 2, 143-155.
Garnett, J. L., Kouzmin, A. (2007). Communicating throughout Katrina: Competing and
complementary conceptual lenses on crisis communication. Public Administration
Review, 67, 171-188.
Gore, T. D., & Bracken, C. C. (2005). Testing the theoretical design of a health risk message:
Reexamining the major tenets of the extended parallel process model. Health
Education & Behavior, 32(1), 27-41.
Janis, I. L. (1967). Effects of fear arousal on attitude change: Recent developments in theory
and experimental research. In L. Berkowitz (Ed.), Advances in experimental and
social psychology. (Vol. 3, pp. 166-255). New York: Academic Press.
Kim, J. R. (2004). A theoretical perspective on “fear” as an organizational motivator for
initiating public relations activities. Paper presented at the Associated for Education in
Journalism in Mass Communication, Toronto.
LaVela, S. L., Smith, B., & Weaver, F. M. (2007). Perceived risk for influenza in veterans
with spinal cord injuries and disorders. Rehabilitation Psychology, 52(4), 458-462.
Online Journal of Communication and Media Technologies
Volume: 5 – Issue: 2 April - 2015
© Online Journal of Communication and Media Technologies
25
Lazo, J. K., Morss, R. E., & Demuth, J. L. (2009). 300 billion served: Households’ sources,
perceptions, uses, and values for weather forecast information. Bulletin of the
American Meteorological Society.
Lerner, J. S., & Keltner, D. (2000). Beyond valence: Toward a model of emotion-specific
influences on judgment and choice. Cognition and Emotion, 14(4), 473-493.
Leventhal, H. (1970). Findings and theory in the study of fear communications. In L.
Berkowitz (Ed.), Advances in experimental and social psychology. (Vol. 5, pp. 119-
186). New York: Academic Press.
Lindell, M. K., Lu, J. C., & Prater, C. S. (2005). Household decision making and evacuation
in response to Hurricane Lili. National Hazards Review, 6(4), 171-179.
McMahan, S., Witte, K., Meyer, J. (2009). The perception of risk messages regarding
electromagnetic fields: Extending the extended parallel processing model to an
unknown risk. Health Communication, 10(3), 247-259.
Murray-Johnson, L., Witte, K., Patel, D., Orrego, V., Zuckerman, C., Maxfield, A. M., &
Thimons, E. D. (2004). Using the extended parallel process model to prevent noiseinduced
hearing loss among coal miners in Appalachia. Health Education &
Behavior, 31(6), 741-755.
Nelson, D. L. (1979). Remembering pictures and words: Appearance, significance, and name.
In L. S. Cermak and F. I. M. Craik (Eds.) Levels of processing in human memory (pp.
45-76). Hillsdale, NJ: Lawrence Erlbaum Associates.
Paivio, A., & Csapo, K. (1973). Picture superiority in free recall: Imagery or dual coding?
Cognitive Psychology, 5, 176-206.
Perry, D. C., Taylor, M., & Doerfel, M. L. (2003). Internet-based communication in crisis
management. Management Communication Quarterly, 17(2), 206-232.
Pfau, M., Haigh, M., Fifrick, A., Holl, D., Tedesco, A., Cope, J., Nunnally, D., Schiess, A.,
Preston, D., Roszkowski, P., & Martin, M. (2006). The effects of print news
photographs of the casualties of war. Journalism and Mass Communication
Quarterly, 83(1), 150-168.
Piotrowski, C., & Armstrong, T. R. (1998). Mass media preferences in disaster: A study of
Hurricane Danny. Social Behavior and Personality, 26(4), 341-346.
Rainie, L. (2005, January 2). The state of blogging. The Pew Internet & American Life
Project. Retrieved March 26, 2009 from
http://www.pewinternet.org/Reports/2005/The-State-of-Blogging.aspx
Online Journal of Communication and Media Technologies
Volume: 5 – Issue: 2 April - 2015
© Online Journal of Communication and Media Technologies
26
Riffe, D., Lacy, S., & Fico, F. G. (1998). Analyzing media messages: Using quantitative
content analysis in research. Mahwah, NJ: Lawrence Erlbaum Associates.
Roberto, A. J., Meyer, G., Johnson, A. J., & Atkin, C. K. (2000). Using the extended parallel
process model to prevent firearm injury or death: Field experiment results of a videobased
intervention. Journal of Communication, 50(4), 157-175.
Rogers, R. W. (1975). A protection motivation theory of fear appeals and attitude change.
Journal of Psychology, 91, 93-114.
Rogers, R. W. (1983). Cognitive and physiological processes in fear arousal upon emotion,
attitudes, and cigarette smoking. In J. Cacioppo & R. Petty (Eds.), Social
psychophysiology (pp. 153-176). New York: Guilford.
Roscoe, J. T., & Byars, J. A. (1971). An investigation of the restraints with respect to sample
size commonly imposed on the use of the chi-square statistic. Journal of the American
Statistical Association, 66(366), 755-759.
Slovic, P., Fischoff, B., Lichtenstein, S. (1982). Why study risk perception? Risk Analysis,
2(2), 83-93.
Sutton, S. R., & Hallett, R. (1988). Understanding the effects of fear-arousing
communications: The role of cognitive factors and amount of fear aroused. Journal of
Behavioral Medicine, 11, 353-360.
Sutton, S. R., & Hallett, R. (1989). Understanding seat belt intentions and behavior: A
decision-making approach. Journal of Applied Social Psychology, 19, 1310-1325.
Sweetser, K. D., & Metzgar, E. (2007). Communicating during crisis: Use of blogs as a
relationship management tool. Public Relations Review, 33, 340-342.
Taylor, M., & Perry. D. C. (2005). Diffusion of traditional and new media tactics in crisis
communication. Public Relations Review, 31, 209-217.
Technorati (n.d.). State of blogosphere 2008. Technorati. Retrieved March 26, 2009 from
http://technorati.com/blogging/state-of-the-blogosphere/Thelwall, M., & Stuart, D.
(2007). RUOK? Blogging communication technologies during crises. Journal of
Computer-Mediated Communication, 12, 189-214.
Wenger, D., & Friedman, B. (1986). Local and national media coverage of disaster: A
content analysis of the print media’s treatment of disaster myths. International
Journal of Mass Emergencies and Disasters, 4, 27-50.
Witte, K. (1992). Putting fear back into fear appeals: The extended parallel process model.
Communication Monographs, 59, 329-349.
Online Journal of Communication and Media Technologies
Volume: 5 – Issue: 2 April - 2015
© Online Journal of Communication and Media Technologies
27
Witte, K., Meyer, G., & Martell, D. (2001). Effective health risk messages: A step-by-step
guide. Thousand Oaks, CA: Sage Publications.
Witte, K., Peterson, T. R., Vallabhan, S., Stephenson, M. T., Plugge, C. D., Givens, V. K., et
al. (1993). Preventing tractor-related injuries and deaths in rural populations: Using a
persuasive health message (PHM) framework in formative evaluation research.
International Quarterly of Communication Health Education, 13, 219-251.
Wright, A. J., French, D. P., Weinman, J., & Marteau, T. M. (2006). Can genetic risk
information enhance motivation for smoking cessation? An analogue study. Health
Psychology, 25(6), 740-752.
Wright, K. B. (2000). Computer-mediated social support, older adults, and coping. Journal of
Communication, 50, 100-118.
Wright, K. B., & Bell, S. B. (2003). Health-related support groups on the Internet: Linking
empirical findings to social support and computer-mediated communication theory.
Journal of Health Psychology, 8(1), 39-54.

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