Effects of race and ethnic identity on audience evaluation of HIV public service announcements

Howard Journal of Communications

Volumn 19, Issue 1, 2008, Pages 44-63

  Wang, Xiao ^a   Arpan, Laura M ^b  

^a EASTERN CONNECTICUT STATE UNIVERSITY   (United States)

^b FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Health communication; Race; Source effects

Indexed keywords

EID: 38949146327     PISSN: 10646175     EISSN: 10964649     Source Type: Journal    
DOI: 10.1080/10646170701802019     Document Type: Article

References (60)

1. Airhihenbuwa, C. O., DiClemente, R. J., Wingood, G. M., & Lowe, A. (1992). HIV/AIDS education and prevention among African-Americans: A focus on culture. AIDS Education and Prevention, 4, 267-276.
2. Appiah, O. (2001a). Black, White, Hispanic, and Asian American adolescents' response to culturally embedded ads. The Howard Journal of Communications, 12, 29-48.
3. Appiah, O. (2001b). Ethnic identity on adolescents' evaluations of advertisements. Journal of Advertising Research, 41(5), 7-22.
4. Appiah, O. (2002). Black and white viewers' perception, and recall of occupational characters on Television. Journal of Communication, 52, 776-793.
5. Appiah, O. (2003). Americans online: Differences in surfing and evaluating race-targeted Websites by Black and White users. Journal of Broadcasting & Electronic Media, 47, 537-555.
6. Appiah, O. (2004). Effects of ethnic identification on Web browsers' attitudes toward and navigation patterns on race-targeted sites. Communication Research, 31, 312-337.
7. Arpan, L. M. (2002). When in Rome? The effects of spokesperson ethnicity on audience evaluation of crisis communication. Journal of Business Communication, 39, 314-339.
8. Basil, M. D. (1996). Identification as a mediator of celebrity effects. Journal of Broadcasting and Electronic Media, 40, 478-495.
9. Berry, J. W. (1980). Acculturation as varieties of adaptation. In A. M. Padilla (Ed.), Acculturation: Theory, models, and some new findings (pp. 9-26). Boulder, CO: Westview.
10. Beaudoin, C. E. & Thorson, E. (2005). Credibility perceptions of news coverage of ethnic groups: The predictive roles of race and news use. The Howard Journal of Communications, 16, 33-48.
11. Brumbaugh, A. M. (2002). Source and nonsource cues in advertising and their effects on the activation of cultural and subcultural knowledge on the route to persuasion. Journal of Consumer Research, 29, 258-269.
12. CDC News. (2003). Black media unite for AIDS prevention campaign. Retrieved Febmary 21, 2006, from http://www.thebody.com/cdc/ news_updates_archive/2003/janl7_03/aids_prevention.html.
13. Centers for Disease Control and Prevention. (2005). A glance at the HIV/AIDS epidemic. Retrieved February 21, 2006, from http://www.cdc.gov/hiv/ PUBS/Facts/At-A-Glance. htm.
14. Centers for Disease Control and Prevention. (2006a). African Americans: CDC response Retrieved February 13, 2006, from http://www.cdc.gov/hiv/topics/aa/ cdc.htm.
15. Centers for Disease Control and Prevention. (2006b). African Americans: Overview. Retrieved on Febmary 13, 2006, from http://www.cdc.gov/hiv/topics/aa/ index.htm.
16. Centers for Disease Control and Prevention. (2006c). Fact sheet: HIV/AIDS among African Americans. Retrieved February 13, 2006, from http://www.cdc.gov/ hiv/topics/aa/resources/factsheets/aa.htm.
17. Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences. Mahwah, NJ: Lawrence Erlbaum Associates.
18. Chaiken, S. (1980). Heuristic versus systematic information-processing and the use of source versus message cues in persuasion. Journal of Personality and Social Psychology, 39, 752-766.
19. Cochran, S. D. & Mays, V. M. (1993). Applying social psychological models to predicting HIV-related sexual risk behaviors among African Americans. Journal of Black Psychology, 19, 142-154.
20. Coleman, L. M., Jussin, L., & Kelley, S. H. (1995). A study of stereotyping: Testing three models with a sample of blacks. Journal of Black Psychology, 21, 332-356.
21. Desphande, R., Hoyer, W., & Donthu, W. (1986). The intensity of ethnic affiliation: A study of the sociology of Hispanic consumption. Journal of Consumer Research, 13, 214-220.
22. Desphande, R. & Stayman, D. (1994). A tale of two cities: Distinctiveness theory and advertising effectiveness. Journal of Marketing Research, 31(4), 57-64.
23. Donthu, N. & Cherian, J. (1992). Hispanic coupon usage: The impact of strong and weak ethnic identification. Psychology & Marketing, 9, 501-510.
24. Durantini, M. R., Albarracín, D., Mitchell, A. L., Earl, A., & Gillette, J. C. (2006). Conceptualizing the influence of social agents of change: A. meta-analysis of HIV prevention interventions for different groups. Psychological Bulletin, 132, 212-248.
25. Farrelly, M. C., Davis, K. C., Haviland, M. L., Messeri, P., & Healton, C. G. (2005). Evidence of a dose-response relationship between "truth" antismoking ads and youth smoking prevalence. American Journal of Public Health, 95, 425-431.
26. Fishbein, M., Hall-Jamieson, K., Zimmer, E., von Haeften, I., & Nabi, R. (2002). Avoiding the boomerang: Testing the relative effectiveness of antidrug public service announcements before a national campaign. American Journal of Public Health, 92, 238-245.
27. Green, C. L. (1999). Ethnic evaluation of advertising: Interaction effects of strength of ethnic identity, media placement, and degree of racial composition. Joumal of Advertising, 28, 49-64.
28. Grier, S. A. & Brumbaugh, A. M. (1999). Noticing cultural differences: Ad meanings created by target and non-target markets. Journal of Advertising, 28, 79-93.
29. Hardy, A. M. (1992). AIDS knowledge and attitudes for January-March 1991: Data from vital and health statistics. Hyattville, MD: U.S. Department of Health and Human Services, National Center for Health Statistics.
30. Herek, G. M., Gills, J. R., Glunt, E. K., Lewis, J., Welton, D., & Capitanio,J. P. (1998). Culturally sensitive AIDS educational videos for African. American audiences: Effects of source, message, receiver, and context. American Journal of Community Psychology, 26, 705-743.
31. Hornik, R. C. (2002). Public health communication: Making sense of contradictory evidence. In R. C. Hornik (Ed.), Public health communication: Evidence for behavior change (pp. 1-19). Mahwah, NJ: Lawrence Erlbaum.
32. Hovland, C. I., Janis, I. K., & Kelley, H. H. (1953). Communication and persuasion. New Haven, CT: Yale University.
33. Hovland, C. I. & Weiss, W. (1951), The influence of source credibility on communication effectiveness. Public Opinion Quarterly, 15, 635-650.
34. Huntemann, N. & Morgan, M. (2001). Mass media and identity development. In D. Singer & J. Singer (Eds.), Handbook of children and the media (pp. 309-222). Thousand Oaks, CA: Sage.
35. Jemmott, L. S., Catan, V., Nyamathi, A., & Anastasia, J. (1995). African American and HIV-risk reduction issues. In A. O'Leary & L. S. Jemmott (Eds.), Women at risk: Issues in the primary prevention of AIDS (pp. 113-157). New York: Plenum Press.
36. Jemmott, J. B., Jemmott, L. S., Fong, G. T., & McCaffree, K. (1999). Reducing HIV risk-associated sexual, behavior among African American adolescents: Testing the generality of intervention effects. American Journal of Community Psychology, 27, 161-187.
37. Jenkins, R. A. & Kim, B. (2002). Cultural norms and risky: Lessons learned from HIV in Thailand. The Journal of Primary Prevention, 25, 17-40.
38. Kelman, H. C. (1958). Compliance, identification, and internalization: Three processes of attitude change. Journal of Conflict Resolution, 2, 51-60.
39. Kelman, H. C. (196T), "Process of Opinion Change," Public Opinion Quarterly, 25(1), 57-78.
40. Maxwell, S. E. & Delaney, H. D. (1993). Bivariate median splits and spurious statistical significance. Psychological Bulletin, 113, 181-190.
41. McGuire, W. (1968). Attitudes and attitude change. In. G. Lindzey & E. Aronson, (Eds.), Handbook of social psychology (pp. 136-314). New York: Random House.
42. McGuire, W. J., McGuire, C. V., Child, P., & Fujioka, T. (1978). Salience of ethnicity in the spontaneous self-concept as a function of one's ethnic distinctiveness in the social environment. Journal of Personality and Social Psychology, 36, 511-520.
43. Michigan Department of Community Health. (2006). Retrieved March. 1, 2006, from http://www.michigan.gov/mdch/0,l607,7-132-8347-135329-M,00.html.
44. Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers' perceived expertise, trustworthiness, and attractiveness. Journal of Advertising, 19(5), 39-52.
45. Ohanian, R. (1991). The impact of celebrity spokespersons' perceived image on consumers' intention to purchase. Journal of Advertising Research, 31(A), 46-54.
46. Petty, R. E. & Cacioppo, J. T. (1986). The elaboration liklihood model of persuasion. In L. Berkowitz (Ed.), Advances in experimental social psychology (Vol. 19, pp. 123-205). New York: Academic Press.
47. Phinney, J. S. (1992), The multigroups ethnic identity measure: A new scale for use with diverse groups. Journal of Adolescent Research, 7(2), 156-176.
48. Quails, W. J. & Moore, D. J. (1990). Stereotyping effects on consumer evaluation of advertising: Impact of racial differences between actors and viewers. Psychology & Marketing, 7(2), 135-151.
49. Snyder, L. B. (2001). How effective are mediated health campaigns? In R. E. Rice & C. K. Atkin (Eds.), Public communication campaigns (pp. 181-192). Thousand Oaks, CA: Sage.
50. Snyder, L. B. & Hamilton, M. A. (2002). A. meta-analysis of U.S. health campaign effects on behavior: Emphasize enforcement, exposure, and new information, and beware the secular trend. In R. C. Hornik (Ed.), Public health communication: Evidence for behavior change (pp. 357-384). Mahwah, NJ: Lawrence Erlbaum.
51. Solomon, L., Celentano, D. D., & Vladov, D. (1991, July 19). HIV-infection prevention messages for injecting drug users: Sources of information and use of mass media-Baltimore 1989. Morbidity and Mortality Report, 40, 465-471.
52. The Joint United Nations Programme on HIV/AIDS. (2004). UNAIDS fact sheet: North America, Western and Central Europe. Retrieved February 12, 2006, from http://data.unaids.org/Publication.s/Fact-Sh.eets04/FS_High-income_e.n.pdf
53. The Joint United Nations Programme on HIV/AIDS. (2005). AIDS epidemic update: December 2005. Retrieved February 12, 2006 from http://www.unaids.org/ epi/2005/doc/EPIupdate2005_pdf_en/epi-update2005_en.pdf
54. U.S. Department of Health and Human Services. (2004). HIV/AIDS surveillance report: Cases of HIV infections and AIDS in the United States, 2003. Retrieved February 13, 2006, from http://www.cdc.gov/hiv/stats/ 2003surveillancereport.pdf.
55. Wellings, K. (2002). Evaluating AIDS public education in Europe: A. cross-national comparison. In R. C. Hornik (Ed.), Public health communication: Evidence for behavior change (pp. 357-384). Mahwah, NJ: Lawrence Erlbaum..
56. Williams, J. D., Quails, W. J., & Grier, S. A. (1995). Racially exclusive advertising: Public policy implications for fair housing practices. Journal of Public Policy and Marketing, 14, 225-244.
57. Windham, C. (2005, February 16). Viacom seeks to rejigger AIDS ads: Warning of viailent strain prods campaigns to reflect the new challenges of HIV. Wall Street Journal (Eastern edition), p. B4
58. Whittler, T. E. (1990). Viewers' processing of actors' race and message claims in advertising stimuli. Psychology & Marketing, 6, 287-309.
59. Whittler, T. E. (1991). The effects of actors' race in commercial advertising: Review and extension. Journal of Advertising, 20, 54-60.
60. Whittler, T. E. & DiMeo, J. (1991). Viewer's reactions to racial cues in advertising stimuli. Journal of Advertising Research, 3KN, 37-46.