Reexamining Health Messages in the Digital Age: A Fresh Look at Source Credibility Effects

REFERENCES

• Ajzen, Icek, and Martin Fishbein (1980), Understanding Attitudes and Predicting Social Behavior, Englewood Cliffs, NJ: Routledge.
   Google Scholar
• Allsop, Dee T., Bryce R. Bassett, and James A. Hoskins (2007), “Word-of-Mouth Research: Principles and Applications,” Journal of Advertising Research, 47 (4), 398–412.
   Web of Science ®Google Scholar
• Anderson, Ashley A., Dominique Brossard, Dietram A. Scheufele, Michael A. Xenos, and Peter Ladwig (2014), “The ‘Nasty Effect’: Online Incivility and Risk Perceptions of Emerging Technologies,” Journal of Computer-Mediated Communication, 19 (3), 373–87.
   Web of Science ®Google Scholar
• Atkin, Charles (2001), “Impact of Public Service Advertising: Research Evidence and Effective Strategies,” Routledge.
   Google Scholar
• Baker, Jeffrey P. (2008), “Mercury, Vaccines, and Autism,” American Journal of Public Health, 98 (2), 244–53.
   PubMed Web of Science ®Google Scholar
• Biswas, Dipayan, Abhijit Biswas, and Neel Das (2006), “The Differential Effects of Celebrity and Expert Endorsements on Consumer Risk Perceptions: The Role of Consumer Knowledge, Perceived Congruency, and Product Technology Orientation,” Journal of Advertising, 35 (2), 17–31.
   Web of Science ®Google Scholar
• Brooks, Robert C. (1957), “‘Word-of-Mouth’ Advertising in Selling New Products,” Journal of Marketing, 22 (2), 154–61.
   Web of Science ®Google Scholar
• Brown, Jacqueline Johnson, and Peter H. Reingen (1987), “Social Ties and Word-of-Mouth Referral Behavior,” Journal of Consumer Research, 14 (3), 350–62.
   Web of Science ®Google Scholar
• Brown, Steven P., Pamela M. Homer, and J. Jeffrey Inman (1998), “A Meta-Analysis of Relationships between Ad-Evoked Feelings and Advertising Responses,” Journal of Marketing Research, 35 (1), 114–26.
   Web of Science ®Google Scholar
• Centers for Disease Control and Prevention (2013a), “Measles Cases and Outbreaks,” http://www.cdc.gov/measles/cases-outbreaks.html.
   Google Scholar
• ——— (2013b), “Measles Still Threatens Health Security,” http://www.cdc.gov/media/releases/2013/p1205-meales-threat.html.
   Google Scholar
• ——— (2014a), “CDC: Immunization PSAs,” http://www.cdc.gov/vaccines/cdcmediaresources/.
   Google Scholar
• ——— (2014b), “Social Marketing Resources,” http://www.cdc.gov/nccdphp/dnpao/socialmarketing/index.html.
   Google Scholar
• Chen, Yubo, and Jinhong Xie (2008), “Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix,” Management Science, 54 (3), 477–91.
   Web of Science ®Google Scholar
• Cheung, Man Yee, Chuan Luo, Choon Ling Sia, and Huaping Chen (2009), “Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-line Consumer Recommendations,” International Journal of Electronic Commerce, 13 (4), 9–38.
   Web of Science ®Google Scholar
• Chevalier, Judith A., and Dina Mayzlin (2006), “The Effect of Word of Mouth on Sales: Online Book Reviews,” Journal of Marketing Research, 43 (3), 345–54.
   Web of Science ®Google Scholar
• Cho, Soyoen, Jisu Huh, and Ronald J. Faber (2014), “The Influence of Sender Trust and Advertiser Trust on Multistage Effects of Viral Advertising,” Journal of Advertising, 43 (1), 100–114.
   Web of Science ®Google Scholar
• Chu, Shu-Chuan, and Sara Kamal (2008), “The Effect of Perceived Blogger Credibility and Argument Quality on Message Elaboration and Brand Attitudes: An Exploratory Study,” Journal of Interactive Advertising, 8 (2), 26–37.
   Google Scholar
• Coleman, James Samuel, Elihu Katz, and Herbert Menzel (1966), Medical Innovation: A Diffusion Study, Indianapolis: Routledge.
   Google Scholar
• Crutzen, Rik, Jascha de Nooijer, Wendy Brouwer, Anke Oenema, Johannes Brug, and Nanne de Vries (2009), “Effectiveness of online word of mouth on exposure to an Internet-delivered intervention,” Psychology and Health, 24 (6), 651–61.
   PubMed Web of Science ®Google Scholar
• Deer, Brian (2011), “How the Case against the MMR Vaccine Was Fixed,” British Medical Journal, 342, c5347.
   PubMed Web of Science ®Google Scholar
• Dholakia, Ruby Roy, and Brian Sternthal (1977), “Highly Credible Sources: Persuasive Facilitators or Persuasive Liabilities?,” Journal of Consumer Research, 3 (4), 223–32.
   Web of Science ®Google Scholar
• Dou, Xue, Justin A. Walden, Seoyeon Lee, and Ji Young Lee (2012), “Does Source Matter? Examining Source Effects in Online Product Reviews,” Computers in Human Behavior, 28 (5), 1555–63.
   Web of Science ®Google Scholar
• Eagly, Alice H., and Shelly Chaiken (1975), “An Attributional Analysis of the Effect of Communicator Characteristics on Opinion change: The Case of Communicator Attractiveness,” Journal of Personality and Social Psychology, 32 (1), 136–44.
   Web of Science ®Google Scholar
• ———, Wendy Wood, and Shelly Chaiken (1978), “Causal Inferences about Communicators and Their Effect on Opinion Change,” Journal of Personality and Social Psychology, 36 (4), 424–43.
   Web of Science ®Google Scholar
• Fan, Yi-Wen, Yi-Feng Miao, Yu-Hsien Fang, and Ruei-Yun Lin (2013), “Establishing the Adoption of Electronic Word-of-Mouth through Consumers’ Perceived Credibility,” International Business Research, 6 (3), 58–65.
   Google Scholar
• Fischetti, Mark (2013), “The Danger of Opting Out,” Scientific American, 308 (6), 96.
   Google Scholar
• Folkes, Valerie S. (1988), “Recent Attribution Research in Consumer Behavior: A Review and New Directions,” Journal of Consumer Research, 14 (4), 548–65.
   Web of Science ®Google Scholar
• Foster, Andrew D., and Mark R. Rosenzweig (1995), “Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture,” Journal of Political Economy, 103 (6), 1176–1209.
   Web of Science ®Google Scholar
• Godes, David, and Dina Mayzlin (2004), “Using Online Conversations to Study Word-of-Mouth Communication,” Marketing Science, 23 (4), 545–60.
   Web of Science ®Google Scholar
• Godlee, Fiona (2011), “The Fraud behind the MMR Scare,” British Medical Journal, 342, d22.
   Google Scholar
• ———, Jane Smith, and Harvey Marcovitch (2011), “Wakefield's Article Linking MMR Vaccine and Autism Was Fraudulent,” British Medical Journal, 342, c7452.
   PubMed Web of Science ®Google Scholar
• Goldsmith, Ronald E., Barbara A. Lafferty, and Stephen J. Newell (2000), “The Impact of Corporate Credibility and Celebrity Credibility on Consumer Reaction to Advertisements and Brands,” Journal of Advertising, 29 (3), 43–54.
   Web of Science ®Google Scholar
• Gotlieb, Jerry B., and Dan Sarel (1991), “Comparative Advertising Effectiveness: The Role of Involvement and Source Credibility,” Journal of Advertising, 20 (1), 38–45.
   Web of Science ®Google Scholar
• Grewal, Dhruv, Jerry Gotlieb, and Howard Marmorstein (1994), “The Moderating Effects of Message Framing and Source Credibility on the Price-Perceived Risk Relationship,” Journal of Consumer Research, 21 (1), 145–53.
   Web of Science ®Google Scholar
• Harris Interactive (2009), “Offline Social Word of Mouth Influence On Brand Decision-Making More Frequent and More Powerful than Online Social Media,” June 15, http://www.harrisinteractive.com/vault/Harris-Interactive-Poll-Research-Word-of-Mouth-2009-06.pdf.
   Google Scholar
• ——— (2011), “Vaccine-Autism Link: Sound Science or Fraud?” Online Survey of 2,026 U.S. Adults,” January 20, http://www.harrisinteractive.com/NewsRoom/PressReleases/tabid/446/ctl/ReadCustom%20Default/mid/1506/ArticleId/674/Default.aspx.
   Google Scholar
• Hennig-Thurau, Thorsten, and Gianfranco Walsh (2003), “Electronic Word-of-Mouth: Motives for and Consequences of Reading Customer Articulations on the Internet,” International Journal of Electronic Commerce, 8 (2), 51–74.
   Web of Science ®Google Scholar
• Herr, Paul M., Frank R. Kardes, and John Kim (1991), “Effects of Word-of-Mouth and Product-Attribute Information on Persuasion: An Accessibility-Diagnosticity Perspective,” Journal of Consumer Research, 17 (4), 454.
   Web of Science ®Google Scholar
• Hovland, Carl I., Irving L. Janis, and Harold H. Kelley (1953), Communication and Persuasion; Psychological Studies of Opinion Change, New Haven, CT: Routledge.
   Google Scholar
• ———, and Walter Weiss (1951), “The Influence of Source Credibility on Communication Effectiveness,” Public Opinion Quarterly, 15 (4), 635–50.
   Web of Science ®Google Scholar
• Hung, Kineta H., and Stella Yiyan Li (2007), “The Influence of eWOM on Virtual Consumer Communities: Social Capital, Consumer Learning, and Behavioral Outcomes,” Journal of Advertising Research, 47 (4), 485–95.
   Web of Science ®Google Scholar
• James, Karen E., and Paul J. Hensel (1991), “Negative Advertising: The Malicious Strain of Comparative Advertising,” Journal of Advertising, 20 (2), 53–69.
   Web of Science ®Google Scholar
• Kang, Gloria (2013), “Google to Put User Photos, Comments in Online Ads,” Washington Post, October 12, p. A01.
   Google Scholar
• Kareklas, Ioannis, and Darrel D. Muehling (2014), “Addressing the Texting and Driving Epidemic: Mortality Salience Priming Effects on Attitudes and Behavioral Intentions,” Journal of Consumer Affairs, 48 (2), 223–50.
   Web of Science ®Google Scholar
• Katz, Elihu, and Paul F. Lazarsfeld (1955), Personal Influence: The Part Played by People in the Flow of Mass Communications, New York: Routledge.
   Google Scholar
• Kelly, Harold H. (1967), “Attribution Theory in Social Psychology,” in Nebraska Symposium on Motivation, David Levine, ed., Lincoln: Routledge, 192–238.
   Google Scholar
• Kelman, Herbert C., and Carl I. Hovland (1953), “‘Reinstatement’ of the Communicator in Delayed Measurement of Opinion Change,” Journal of Abnormal and Social Psychology, 48 (3), 327–335.
   Web of Science ®Google Scholar
• Kimmel, Allan J., and Philip J. Kitchen (2014), “WOM and Social Media: Presaging Future Directions for Research and Practice,” Journal of Marketing Communications, 20 (1–2), 5–20.
   Google Scholar
• Kirkland, Sam (2014), “Sun-Times Kills Comments Until It Can Fix ‘Morass of Negativity, Racism, and Hate Speech,’” Poynter, April 12, http://www.poynter.org/mediawire/247525/sun-times-kills-comments-until-it-can-fix-morass-of-negativity-racism-and-hate-speech.
   Google Scholar
• Kluger, Jeffrey (2014), “Who's Afraid of a Little Vaccine?’” Time, 184 (13), 40–43.
   Google Scholar
• LaBarre, Suzanne (2013), “Why We're Shutting Off Our Comments,” Popular Science, September 24, http://www.popsci.com/science/article/2013-09/why-were-shutting-our-comments.
   Google Scholar
• Mangold, W. Glynn, and David J. Faulds (2009), “Social Media: The New Hybrid Element of the Promotion Mix,” Business Horizons, 52 (4), 357–65.
   Web of Science ®Google Scholar
• Marchitelli, Rosa (2014), “Negative Online Reviews Led to Threats of Legal Action from Targeted Businesses,” CBC News, October 20, http://www.cbc.ca/news/canada/british-columbia/negative-online-reviews-led-to-threats-of-legal-action-from-targeted-businesses-1.2803572.
   Google Scholar
• McCracken, Grant (1989), “Who Is the Celebrity Endorser? Cultural Foundations of the Endorsement Process,” Journal of Consumer Research, 16 (3), 310–21.
   Web of Science ®Google Scholar
• Mizerski, Richard W., Linda L. Golden, and Jerome B. Kernan (1979), “The Attributional Process in Consumer Decision Making,” Journal of Consumer Research, 6 (2), 123–40.
   Web of Science ®Google Scholar
• National Vaccine Information Center (2014), “Vaccine Injury Compensation Program (VICP),” http://www.nvic.org/injury-compensation.aspx.
   Google Scholar
• Ohanian, Roobina (1990), “Construction and Validation of a Scale to Measure Celebrity Endorsers’ Perceived Expertise, Trustworthiness, and Attractiveness,” Journal of Advertising, 19 (3), 39–52.
   Web of Science ®Google Scholar
• ——— (1991), “The Impact of Celebrity Spokespersons’ Perceived Image on Consumers’ Intention to Purchase,” Journal of Advertising Research, 31 (1), 46–54.
   Web of Science ®Google Scholar
• Park, Cheol, and Thae Min Lee (2009), “Information Direction, Website Reputation, and eWOM Effect: A Moderating Role of Product Type,” Journal of Business Research, 62 (1), 61–67.
   Web of Science ®Google Scholar
• Pew Research Center (2013), “Health Fact Sheet,” Pew Research Internet Project, http://www.pewinternet.org/fact-sheets/health-fact-sheet.
   Google Scholar
• Reichelt, Jonas, Jens Sievert, and Frank Jacob (2014), “How Credibility Affects eWOM Reading: The Influences of Expertise, Trustworthiness, and Similarity on Utilitarian and Social Functions,” Journal of Marketing Communications, 20 (1–2), 65–81.
   Google Scholar
• Reuter, Jonathan (2009), “Does Advertising Bias Product Reviews? An Analysis of Wine Ratings,” Journal of Wine Economics, 4 (2), 125–51.
   Google Scholar
• Richins, Marsha L. (1983), “Negative Word-of-Mouth by Dissatisfied Consumers: A Pilot Study,” Journal of Marketing, 47 (1), 68–78.
   Web of Science ®Google Scholar
• Senecal, Sylvain, and Jacques Nantel (2004), “The Influence of Online Product Recommendations on Consumers’ Online Choices,” Journal of Retailing, 80 (2), 159–69.
   Web of Science ®Google Scholar
• Shepard, Jason M., and Genelle Belmas (2012), “Anonymity, Disclosure, and First Amendment Balancing in the Internet Era: Developments in Libel, Copyright, and Election Speech,” Yale Journal of Law and Technology, 15 (1), 92–138.
   Google Scholar
• Sparkman, Richard M., and William B. Locander (1980), “Attribution Theory and Advertising Effectiveness,” Journal of Consumer Research, 7 (3), 219–24.
   Web of Science ®Google Scholar
• Sweeney, Jillian C., Geoffrey N. Soutar, and Tim Mazzarol (2008), “Factors Influencing Word of Mouth Effectiveness: Receiver Perspectives,” European Journal of Marketing, 42 (3/4), 344–64.
   Web of Science ®Google Scholar
• Toder-Alon, Anat, Frederic F. Brunel, and Susan Fournier (2014), “Word-of-Mouth Rhetorics in Social Media Talk,” Journal of Marketing Communications, 20 (1–2), 42–64.
   Google Scholar
• Toncar, Mark, Jane S. Reid, and Cynthia E. Anderson (2007), “Effective Spokespersons in a Public Service Announcement: National Celebrities, Local Celebrities and Victims,” Journal of Communication Management, 11 (3), 258–75.
   Google Scholar
• Trusov, Michael, Randolph E. Bucklin, and Koen Pauwels (2009), “Effects of Word-of-Mouth versus Traditional Marketing: Findings from an Internet Social Networking Site,” Journal of Marketing, 73 (5), 90–102.
   Web of Science ®Google Scholar
• Walther, Joseph B., David DeAndrea, Jinsuk Kim, and James C. Anthony (2010), “The Influence of Online Comments on Perceptions of Anti-Marijuana Public Service Announcements on YouTube,” Human Communication Research, 36 (4), 469–92.
   Web of Science ®Google Scholar
• WebMD (2014), “WebMD Announces Preliminary Fourth Quarter and Full Year 2013 Results,” February 10, http://investor.shareholder.com/wbmd/releasedetail.cfm?ReleaseID=824582&CompanyID=WBMD.
   Google Scholar
• Weisfeld-Spolter, Suri, Fiona Sussan, and Stephen Gould (2014), “An Integrative Approach to eWOM and Marketing Communications,” Corporate Communications: An International Journal, 19 (3), 260–74.
   Google Scholar
• Witteman, Holly O., and Brian J. Zikmund-Fisher (2012), “The Defining Characteristics of Web 2.0 and Their Potential Influence In the Online Vaccination Debate,” Vaccine, 30 (25), 3734–40.
   PubMed Web of Science ®Google Scholar
• Wu, Paul C.S., and Yun-Chen Wang (2011), “The Influences of Electronic Word-of-Mouth Message Appeal and Message Source Credibility on Brand Attitude,” Asia Pacific Journal of Marketing and Logistics, 23 (4), 448–72.
   Google Scholar
• Xie, Hui (Jimmy), Li Miao, Pei-Jou Kuo, and Bo-Youn Lee (2011), “Consumers’ Responses to Ambivalent Online Hotel Reviews: The Role of Perceived Source Credibility and Pre-Decisional Disposition,” International Journal of Hospitality Management, 30, 178–83.
   Web of Science ®Google Scholar
• Yoon, Kak, Choong Hyun Kim, and Min-Sun Kim (1998), “A Cross-Cultural Comparison of the Effects of Source Credibility on Attitudes and Behavioral Intentions,” Mass Communication and Society, 1 (3–4), 153–73.
   Google Scholar