Alcohol's Getting a Bit More Social: When Alcohol Marketing Messages on Facebook Increase Young Adults’ Intentions to Imbibe

REFERENCES

• Advertisers boost social ad budgets. (2013, February 25). eMarketer. Retrieved from http://www.emarketer.com/Article/Advertisers-Boost-Social-Ad-Budgets-2013/1009688
   Google Scholar
• Ajzen, I. (1991). The theory of planned behavior. Organization Behavior and Human Decision Processes, 50, 179–211. http://dx.doi.org/10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• Alhabash, S., & McAlister, A. R. (2014). Redefining virality in less broad strokes: Predicting viral behavioral intentions from motivations and uses of Facebook and Twitter. New Media & Society. Advance online publication. doi:10.1177/1461444814523726
   Web of Science ®Google Scholar
• Alhabash, S., McAlister, A. R., Hagerstrom, A., Quilliam, E. T., Rifon, N. J., & Richards, J. I. (2013). Between likes and shares: Effects of emotional appeal and virality on the persuasiveness of anticyberbullying messages on Facebook. Cyberpsychology, Behavior, and Social Networking, 16, 175–182. doi:10.1089/cyber.2012.0265
   PubMed Web of Science ®Google Scholar
• Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice Hall.
   Google Scholar
• Benway, J. P. (1998). Banner blindness: The irony of attention grabbing on the World Wide Web. Proceedings of the Human Factors and Ergonomics Society 42nd Annual Meeting, 42, 463–467. doi:10.1177/154193129804200504
   Google Scholar
• Berthon, P., Pitt, L. F., & Watson, R. T. (1996). The World Wide Web as an advertising medium. Journal of Advertising Research, 36, 43–54. http://dx.doi.org/10.1017/S0021849996960067
   Web of Science ®Google Scholar
• Bonchi, F., Castillo, C., & Ienco, D. (2011). Meme ranking to maximize posts virality in microblogging platforms. Journal of Intelligent Information Systems, 1–29. doi:10.1007/s10844-011-0181-4
   Web of Science ®Google Scholar
• Borsari, B., & Carey, K. B. (2000). Effects of a brief motivational intervention with college student drinkers. Jouranl of Consulting and Clinical Psychology, 68, 728–733. doi:10.1037/0022-006X.68.4.728
   PubMed Web of Science ®Google Scholar
• Borsari, B., & Carey, K. B. (2003). Descriptive and injunctive norms in college drinking: A meta-analytic integration. Journal of Studies on Alcohol, 64, 331–341.
   PubMed Web of Science ®Google Scholar
• boyd, d. m., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13, 210–230.
   Web of Science ®Google Scholar
• Brehm, S. S., & Brehm, J. W. (1981). Psychological reactance: A theory of freedom and control. New York, NY: Academic Press.
   Google Scholar
• Burns, K. S., & Lutz, R. J. (2006). The function of format: consumer responses to six on-line advertising formats. Journal of Advertising, 35, 53–63. doi:10.2753/JOA0091-3367350104
   Web of Science ®Google Scholar
• Centers for Disease Control and Prevention. (2012, January). Vital signs:Binge drinking: Nationwide problem, local solutions. Retrieved from http://www.cdc.gov/vitalsigns/pdf/2012-01-vitalsigns.pdf
   Google Scholar
• Centers for Disease Control and Prevention. (2014, March 14). Fact sheets—Alcohol use and health. Retrieved from http://www.cdc.gov/alcohol/fact-sheets/alcohol-use.htm
   Google Scholar
• 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. doi:10.1037/0022-3514.39.5.752
   Web of Science ®Google Scholar
• Chaiken, S., & Troppe, Y. (1999). Dual-process theories in social psychology. New York, NY: Guilford.
   Google Scholar
• Chen, S., & Chaiken, S. (1999). The heuristic-systematic model in its broader context. In S. Chaiken & Y. Troppe (Eds.), Dual-process theories in social psychology (pp. 73–96). New York, NY: Guilford.
   Google Scholar
• Choi, Y. K., Miracle, G. E., & Biocca, F. (2001). The effects of anthropomorphic agents on advertising effectiveness and the mediating role of presence. Journal of Interactive Advertising, 2(1). Retrieved from http://jiad.org/downloadd8eb.pdf?p=17
   Google Scholar
• Cialdini, R. B., Reno, R. R., & Kallgren, C. A. (1990). A focus theory of normative conduct: Recycling the concept of norms to reduce littering in public places. Jounal of Personality and Social Psychology, 58, 1015–1026. doi:10.1037/0022-3514.58.6.1015
   Web of Science ®Google Scholar
• Coulter, K., & Punj, G. (2007). Understanding the role of idiosyncratic thinking in brand attitude formation. Journal of Advertising, 36, 7–20. doi:10.2753/JOA0091-3367360101
   Web of Science ®Google Scholar
• Cullum, J., O'Grady, M., Armeli, S., & Tennen, H. (2012). The role of context-specific norms and group size in alcohol consumption and compliance drinking during natural drinking events. Basic and Applied Social Psychology, 34, 304–312. doi:10.1080/01973533.2012.693341
   PubMed Web of Science ®Google Scholar
• Cutler, B. D., Thomas, E. G., & Rao, S. R. (2000). Informational/transformational advertising: Differences in usage across media types, product categories, and national cultures. Journal of International Consumer Marketing, 12(3), 69–83. doi:10.1300/J046v12n03_05
   Google Scholar
• De Bruyn, A., & Lilien, G. L. (2004). A multi-stage model of word of mouth through electronic referrals. eBusiness Research Center, Working Paper. Retrieved from: http://www.debruyn.info/research/papers/working/debruynlilien2004_referrals.pdf
   Google Scholar
• De Pelsmacker, P., Geuens, M., & Anckaert, P. (2002). Media context and advertising effectiveness: The role of context appreciation and context/ad similarity. Journal of Advertising, 31, 49–61. doi:10.1080/00913367.2002.10673666
   Web of Science ®Google Scholar
• Ducoffe, R. H. (1996). Advertising value and advertising on the web. Journal of Advertising Research, 36(5), 21–36.
   Web of Science ®Google Scholar
• Duggan, M., & Brenner, J. (2013). The demographics of social media users, 2012. Washington, DC: Pew Research Center's Internet & American Life Project. Retrieved from http://pewinternet.org/~/media/Files/Reports/2013/PIP_SocialMediaUsers.pdf
   Google Scholar
• Dunn, M. E., & Yniguez, R. M. (1999). Experimental demonstration of the influence of alcohol advertising on the activation of alcohol expectancies in memory among fourth- and fifth-grade children. Experiemntal and Clinical Psychopharmacology, 7, 473–483. doi:10.1037/1064-1297.7.4.473
   PubMed Web of Science ®Google Scholar
• Eckler, P., & Rodgers, S. (2014). Viral advertising: A conceptualization. In H. Cheng (Ed.), The handbook of international advertising research (pp. 184–202). West Sussex, UK: Wiley & Sons.
   Google Scholar
• Ellickson, P. L., Collins, R. L., Hambarsoomians, K., & McCaffrey, D. F. (2005). Does alcohol advertising promote adolescent drinking? Results from a longitudinal assessment. Addiction, 100, 235–246. doi:10.1111/j.1360-0443.2005.00974.x
   PubMed Web of Science ®Google Scholar
• Facebook. (2014). Newsroom: Company Info. Retrieved from http://newsroom.fb.com/Key-Facts
   Google Scholar
• Federal Trade Commission. (2014, March). Self-regulation in the alcohol industry: Report of the Federal Trade Commission. Retrieved from http://www.ftc.gov/system/files/documents/reports/self-regulation-alcohol-industry-report-federal-trade-commission/140320alcoholreport.pdf
   Google Scholar
• Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7, 117–140. doi:10.1177/001872675400700202
   Web of Science ®Google Scholar
• Festinger, L. (1962). A theory of cognitive dissonance (Vol. 2). Stanford, CA: Stanford University Press.
   Google Scholar
• Fu, W. W., & Sim, C. (2011). Aggregate bandwagon effect on online videos’ viewership: Value uncertainty, popularity cues, and heuristics. Journal of the American Society for Information Science and Technology, 62, 2382–2395. doi:10.1002/asi.21641
   Web of Science ®Google Scholar
• Garfield, C. F., Chung, P. J., & Rathouz, P. J. (2003). Alcohol advertising in magazines and adolescent readership. Journal of the American Medical Association, 289, 2424–2429. doi:10.1001/jama.289.18.2424
   PubMed Web of Science ®Google Scholar
• Glassman, T. (2012). Implications for college students posting pictures of themselves drinking alcohol on facebook. Journal of Alcohol and Drug Education, 56, 38–58. http://www.biomedsearch.com/article/Implications-college-students-posting-pictures/298503332.html
   Google Scholar
• Glazer, E., Smith, S. W., Atkin, C. K., & Hamel, L. M. (2010). The effects of sensation seeking, misperceptions of peer consumption, and believability of social norms messages on alcohol consumption. Journal of Health Communication, 15, 825–839. doi:10.1080/10810730.2010.522222
   PubMed Web of Science ®Google Scholar
• Golan, G., & Zaidner, L. (2008). Creative strategies in viral advertising: An application of Taylor's six-segment message strategy wheel. Journal of Computer-Mediated Communication, 13, 959–972. doi:10.1111/j.1083-6101.2008.00426.x
   Web of Science ®Google Scholar
• Goldfarb, A., & Tucker, C. E. (2011). Privacy regulation and online advertising. Management Science, 57, 57–71. http://dx.doi.org/10.1287/mnsc.1100.1246
   Web of Science ®Google Scholar
• Guerini, M., Pepe, A., & Lepri, B. (2012). Do linguistic style and readability of scientific abstracts affect their virality. Proceedings of ICWSM. Retrieved from http://arxiv.org/pdf/1203.4238.pdf
   Google Scholar
• Ha, L. (2008). Online advertising research in advertising journals: A review. Journal of Current Issues in Advertising, 30, 31–48. doi:10.1080/10641734.2008.10505236
   Google Scholar
• Harrison, J. (2012, August 22). Businesses benefit from the growing popularity of social media. Interactyx Limited. Retrieved from http://interactyx.com/social-learning-blog/businesses-benefit-from-the-growing-popularity-of-social-media/
   Google Scholar
• Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18, 38–52. http://dx.doi.org/10.1002/dir.10073
   Google Scholar
• Hornik, R. (2006). Personal influence and the effects of the national youth anti-drug media campaign. The ANNALS of the American Academy of Political and Social Science, 608, 282–300. doi:10.1177/0002716206291972
   Web of Science ®Google Scholar
• Kaikati, J. G., & Kaikati, A. M. (2004). Stealth marketing: How to reach consumers surreptitiously. California Management Review, 4694, 6–22. Retrieved from http://ssrn.com/abstract=1394975
   Web of Science ®Google Scholar
• Knobloch-Westerwick, S., Sharma, N., Hansen, D. L., & Alter, S. (2005). Impact of popularity indications on readers’ selective exposure to online news. Journal of Broadcasting & Electronic Media, 49, 296–313. doi:10.1207/s15506878jobem4903_3
   Web of Science ®Google Scholar
• Lang, A., Shin, M., & Lee, S. (2005). Sensation seeking, motivation, and substance use: A dual system approach. Media Psychology, 7, 1–29. doi:10.1207/S1532785XMEP0701_1
   Web of Science ®Google Scholar
• Larimer, M. E., Turner, A. P., Mallett, K. A., & Geisner, I. M. (2004). Predicting drinking behavior and alcohol-related problems among fraternity and sorority members: Examining the role of descriptive and injunctive norms. Pyschology of Addictive Behaviors, 18, 203–212. doi:10.1037/0893-164X.18.3.203
   PubMed Web of Science ®Google Scholar
• Lee, C. M., Maggs, J. L., Neighbors, C., & Patrick, M. E. (2011). Positive and negative alcohol-related consequences: Associations with past drinking. Journal of Adolescence, 34, 87–94. http://dx.doi.org/10.1016/j.adolescence.2010.01.009
   PubMed Web of Science ®Google Scholar
• Lenhart, A., Purcell, K., Smith, A., & Zickuhr, K. (2010). Social media & mobile internet use among teens and young adults. Pew Internet & American Life Project. Retrieved from http://pewinternet.org/Reports/2010/Social-Media-and-Young-Adults.aspx
   Google Scholar
• Lewis, M. A., & Neighbors, C. (2006). Social norms approaches using descriptive drinking norms education: A review of the research on personalized normative feedback. Journal of American College Health, 54, 213–218. doi:10.3200/JACH.54.4.213-218
   PubMed Web of Science ®Google Scholar
• Liu-Thompkins, Y. (2012). Seeding viral content: The role of message and network factors. Journal of Advertising Research, 52, 465–478.
   Web of Science ®Google Scholar
• MacKenzie, S. B., & Lutz, R. J. (1989). An empirical examination of the structural antecedents of attitude toward the ad in an advertising prestesting context. Journal of Marketing, 53, 48–65. doi:10.1108/13555851311290911
   Web of Science ®Google Scholar
• Maio, G., & Haddock, G. (2007). Attitude change. In A. Kruglanski & E. Higgins (Eds.), Social psychology: Handbook of basic principles (2nd ed., pp. 565–586). New York: The Guilford Press.
   Google Scholar
• Morgenstern, M., Isensee, B., Sargent, J. D., & Hanewinke, R. (2011). Attitudes as mediators of the longitudinal association between alcohol advertising and youth drinking. Archives of Pediatrics & Adolescent Medicine, 165, 610–616. doi:10.1001/archpediatrics.2011.12
   PubMed Web of Science ®Google Scholar
• Muehling, D. D. (1987). An Investigation of factors underlying attitudes toward advertising-in-general. Journal of Advertising, 16, 32–40. doi:10.1080/00913367.1987.10673058
   Web of Science ®Google Scholar
• National Institute of Alcohol Abuse and Alcoholism. (2013). College drinking. Retrieved from http://pubs.niaaa.nih.gov/publications/CollegeFactSheet/CollegeFactSheet.pdf
   Google Scholar
• Neighbors, C., Lee, C. M., Atkins, D. C., Lewis, M. A., Kaysen, D., Mittmann, A. & Larimer, M. E. (2012). A randomized controlled trial of event-specific prevention strategies for reducing problematic drinking associated with 21st birthday celebrations. Journal of Consulting and Clinical Psychology, 80, 850–862. doi:10.1037/a0029480
   PubMed Web of Science ®Google Scholar
• Nicholls, J. (2012). Everyday, everywhere: Alcohol marketing and social media-current trends. Alcohol Alcoholism, 47, 486–493. doi:10.1093/alcalc/ags043
   PubMed Web of Science ®Google Scholar
• O'Keefe, D. J. (2003). Message properties, mediating states, and manipulation checks: Claims, evidence, and data analysis in experimental persuasive message effects research. Communication Theory, 13, 251–274. doi:10.1111/j.1468-2885.2003.tb00292.x
   Web of Science ®Google Scholar
• Park, H. S., Smith, S. W., Klein, K. A., & Martell, D. (2011). College students’ estimation and accuracy of other students’ drinking and believability of advertisements featured in a social norms campaign. Journal of Health Communication, 16, 504–518. doi:10.1080/10810730.2010.546481
   PubMed Web of Science ®Google Scholar
• Pastore, M. (2000, June 15). The value of word of mouth. Retrieved from http://www.clickz.com/clickz/news/1703408/the-value-word-mouth
   Google Scholar
• Perkins, H., Linkenbach, J. W., Lewis, M. W., & Neighbors, C. (2010). Effectiveness of social norms media marketing in reducing drinking and driving: A statewide campaign. Addictive Behaviors, 35, 866–874. http://dx.doi.org/10.1016/j.addbeh.2010.05.004
   PubMed Web of Science ®Google Scholar
• Petty, E. R., & Cacioppo, E. R. (1986). Communication and persuasion: Central and peripheral routes to attitudes change. New York, NY: Springer-Verlag.
   Google Scholar
• Phelps, J., Lewis, R., Mobilio, L., Perry, D., & Raman, N. (2004). Viral marketing or electronic word-of-mouth advertising: Examining Consumer responses and motivations to pass along email. Journal of Advertising Research, 44, 333–348.
   Web of Science ®Google Scholar
• Ridout, B., Campbell, A., & Ellis, L. (2012). “Off your Face(Book)”: Alcohol in online social identity construction and its relation to problem drinking in university students. Drug and Alcohol Review, 31, 20–26. doi:10.1111/j.1465-3362.2010.00277.x
   PubMed Web of Science ®Google Scholar
• Ringold, D. J. (2002). Boomerang effects in response to public health interventions: some unintended consequences in the alcoholic beverage market. Journal of Consumer Policy, 25, 27–63. doi:10.1023/A:1014588126336
   Google Scholar
• Siegel, M., DeJong, W., Naimi, T. S.,. Brand-specific consumption of alcohol among underage youth in the United States. Alcoholism: Clinical and Experimental Research, 37, 1195–1203.
   PubMed Web of Science ®Google Scholar
• Snyder, L. B., Milici, F. F., Slater, M., Sun, H., & Strizhakova, Y. (2006). Effects of alcohol advertising exposure on drinking among youth. Archives of Pediatrics & Adolescent Medicine, 160, 18–24. doi:10.1001/archpedi.160.1.18
   PubMed Web of Science ®Google Scholar
• Strutton, D., Taylor, D. G., & Thompson, K. (2011). Investigating generational differences in e-WOM behaviours: For advertising purposes, does X = Y? International Journal of Advertising, 30, 559–586. Retrieved from http://www.internationaljournalofadvertising.com/ArticleViewer.aspx?ID=95242
   Web of Science ®Google Scholar
• Thomas, G. M., Jr. (2004). Building the buzz in the hive mind. Journal of Consumer Behaviour, 4, 64–72. doi:10.1002/cb.158
   Google Scholar
• Thombs, D. L., & Hamilton, M. J. (2002). Effects of a social norm feedback campaign on the drinking norms and behavior of division I student-athletes. Journal of Drug Education, 32, 227–244. doi:10.2190/2UYU-6 × 9 M-RJ65-3YYH
   PubMed Web of Science ®Google Scholar
• Tucker, C. (2011). Virality, network effects and advertising. NET Institute. Retrieved from https://archive.nyu.edu/bitstream/2451/31400/2/11_06.pdf
   Google Scholar
• Welker, C. B. (2002). The paradigm of viral communication. Information Services and Uses, 22, 3–8. Retrieved from http://www.editlib.org/p/95985
   Google Scholar
• Wolburg, J. M. (2006). College students’ responses to antismoking messages: Denial, defiance, and other boomerang effects. Journal of Consumer Affairs, 40, 294–323. doi:10.1111/j.1745-6606.2006.00059.x
   Web of Science ®Google Scholar
• Yzer, M. C., Cappella, J. N., Fishbein, M., Hornik, R., & Ahern, R. K. (2003). The effectiveness of gateway communications in anti-marijuana campaigns. Journal of Health Communication, 8, 129–143. doi:10.1080/10810730305695
   PubMed Web of Science ®Google Scholar
• Zanjani, S. H., Diamond, W. D., & Chan, K. (2011). Does ad-context congruity help surfers and information seekers remember ads in cluttered e-magazines? Journal of Advertising, 40, 67–84. doi:10.2753/JOA0091-3367400405
   Web of Science ®Google Scholar