Skip to main content
Log in

Source Credibility in Consumer-Generated Advertising in Youtube: The Moderating Role of Personality

  • Published:
Current Psychology Aims and scope Submit manuscript

Abstract

This research investigates the effects of the big five consumer personality traits on perceptions of source credibility related to consumer-generated advertising (CGA). An online experiment with 175 participants was conducted with viewing of a YouTube video in which source credibility (as firm-generated or consumer-generated) was manipulated. Findings show participants viewed CGA as more credible than firm-generated advertising. CGA positively influenced attitudes toward the ad and brand for consumers with low openness, and positively influenced opinion giving for consumers with high extraversion and low neuroticism. Also, a significant main effect of neuroticism was found. Theoretical and practical implications, and suggestions for future research are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Adjei, M. T., & Clark, M. N. (2010). Relationship marketing in a B2C context: the moderating role of personality traits. Journal of Retailing and Consumer Services, 17(1), 73–79.

    Article  Google Scholar 

  • Alba, J. W., & Hutchinson, J. W. (1987). Dimensions of consumer expertise. Journal of Consumer Research, 13(4), 411–454.

    Article  Google Scholar 

  • Albers-Miller, N. D., & Stafford, M. R. (1999). An international analysis of emotional and rational appeals in service vs. goods advertising. Journal of Consumer Marketing, 16(1), 42–57.

    Article  Google Scholar 

  • Amichai-Hamburger, Y., & Ben-Artzi, E. (2003). Loneliness and internet use. Computers in Human Behavior, 19(1), 71–80.

    Article  Google Scholar 

  • Amichai-Hamburger, Y., & Vinitzky, G. (2010). Social network use and personality. Computers in Human Behavior, 26(6), 1289–1295.

    Article  Google Scholar 

  • Bachrach, Y., Kosinski, M., Graepel, T., Kohli, P., & Stillwell, D. (2012). Personality and patterns of Facebook usage. In the proceedings of the 3rd annual ACM web science conference, 24–32.

  • Barrick, M. R., & Mount, M. K. (1991). The big five personality dimensions and job performance: a meta-analysis. Personnel Psychology, 44(1), 1–26.

    Article  Google Scholar 

  • Bettman, J. R., & Park, C. W. (1980). Effects of prior knowledge and experience and phase of the choice process on consumer decision processes. Journal of Consumer Research, 7(3), 234–248.

    Article  Google Scholar 

  • Buchanan, T., Johnson, J. A., & Goldberg, L. R. (2005). Implementing a five-factor personality inventory for use on the internet. European Journal of Psychological Assessment, 21(2), 115–127.

    Article  Google Scholar 

  • Burstein, D. D. (2012). 5 lessons in participatory marketing from Doritos “Crash the Super Bowl” and CMO Ann Mukherjee. http://www.fastcocreate.com/1679605/5-lessons-in-participatory-marketing-from-doritos-crash-the-super-bowl-and-cmo-ann-mukherjee. Accessed 7, March 2016.

  • Butt, S., & Phillips, J. G. (2008). Personality and self reported mobile phone use. Computers in Human Behavior, 24(2), 346–360.

    Article  Google Scholar 

  • Campbell, C., Pitt, L. F., Parent, M., & Berthon, P. R. (2011). Understanding consumer conversations around ads in a web 2.0 world. Journal of Advertising, 40(1), 87–102.

    Article  Google Scholar 

  • Cheong, H., & Morrison, M. A. (2008). Consumers’ reliance on product information and recommendations found in UGC. Journal of Interactive Advertising, 8(2), 38–49.

    Article  Google Scholar 

  • Cheung, C. M., Lee, M. K., & Rabjohn, N. (2008). The impact of electronic word-of-mouth: the adoption of online opinions in online customer communities. Internet Research, 18(3), 229–247.

    Article  Google Scholar 

  • Choi, J. H., & Scott, J. E. (2013). Electronic word of mouth and knowledge sharing on social network sites: a social capital perspective. Journal of Theoretical and Applied Electronic Commerce Research, 8(1), 69–82.

    Article  Google Scholar 

  • Chu, S., & Kim, Y. (2011). The determinants of consumer engagement in electronic word of mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1), 47–75.

    Article  Google Scholar 

  • Correa, T., Hinsley, A. W., & de Zúñiga, H. G. (2010). Who interacts on the web?: the interaction of users’ personality and social media use. Computers in Human Behavior, 26(2), 247–253.

    Article  Google Scholar 

  • Costa, P. T., & McCrae, R. R. (1992). Four ways five factors are basic. Personality and Individual Differences, 13(6), 653–665.

    Article  Google Scholar 

  • Coyle, J. R., Smith, T., Lightfoot, E., Neace, W., & Platt, G. (2011). ‘click here to share with a friend’: a uses and gratifications approach to word–of–mouth marketing effectiveness. International Journal of Electronic Marketing and Retailing, 4(4), 225–247.

    Article  Google Scholar 

  • Dou, X., Walden, J. A., Lee, S., & Lee, J. Y. (2012). Does source matter? Examining source effects in online product reviews. Computers in Human Behavior, 28(5), 1555–1563.

    Article  Google Scholar 

  • Dunkel, C. S., & Weber, J. L. (2010). Using three levels of personality to predict time perspective. Current Psychology, 29(2), 95–103.

    Article  Google Scholar 

  • Ellison, N. B., Vitak, J., Gray, R., & Lampe, C. (2014). Cultivating social resources on social network sites: Facebook relationship maintenance behaviors and their role in social capital processes. Journal of Computer-Mediated Communication, 19(4), 855–870.

    Article  Google Scholar 

  • Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1993). Consumer behavior (7th ed.). Chicago, IL: The Dryden Press.

    Google Scholar 

  • Farhat, R., & Khan, B. M. (2011). Importance of brand personality to customer loyalty: a conceptual study. New Media and Mass Communication, 1, 4–10. http://www.iiste.org/Journals/index.php/NMMC/article/viewFile/868/783. Accessed 7, March 2016.

  • Garfield, B. (2009). How Etsy made us rethink consumer-generated ads, http://adage.com/article/ad-review/advertising-etsy-made-rethink-consumer-generated-ads/139144. Accessed 7, March 2016.

  • Gosling, S. D., Augustine, A. A., Vazire, S., Holtzman, N., & Gaddis, S. (2011). Manifestations of personality in online social networks: self-reported Facebook-related behaviors and observable profile information. Cyberpsychology, Behavior & Social Networking, 14(9), 483–488.

    Article  Google Scholar 

  • Gountas, J., & Gountas, S. (2007). Personality orientations, emotional states, customer satisfaction, and intention to repurchase. Journal of Business Research, 60(1), 72–75.

    Article  Google Scholar 

  • Guo, Y., Li, Y., & Ito, N. (2014). Exploring the predicted effect of social networking site use on perceived social capital and psychological well-being of Chinese international students in Japan. Cyberpsychology, Behavior, and Social Networking, 17(1), 52–58.

    Article  Google Scholar 

  • Han, B., & Windsor, J. (2011). User’s willingness to pay on social network sites. Journal of Computer Information Systems, 51(4), 31–40.

    Google Scholar 

  • Hansen, S. S., Lee, J. K., & Lee, S. Y. (2014). Consumer-generated ads on YouTube: impacts of source credibility and need for cognition on attitudes, interactive behaviors, and eWOM. Journal of Electronic Commerce Research, 15(3), 254–266.

    Google Scholar 

  • Hautz, J., Füller, J., Hutter, K., & Thürridl, C. (2014). Let users generate your video ads? The impact of video source and quality on consumers’ perceptions and intended behaviors. Journal of Interactive Marketing, 28(1), 1–15.

    Article  Google Scholar 

  • Hirsh, J. B., Kang, S. K., & Bodenhausen, G. V. (2012). Personalized persuasion: tailoring persuasive appeals to recipients’ personality traits. Psychological Science, 23(6), 578–581.

    Article  PubMed  Google Scholar 

  • Homer, P. M. (1990). The mediating role of attitude toward the ad: some additional evidence. Journal of Marketing Research, 27(1), 78–86.

    Article  Google Scholar 

  • Hughes, D. J., Rowe, M., Batey, M., & Lee, A. (2012). Tale of two sites: twitter vs. Facebook and the personality predictors of social media usage. Computers in Human Behavior, 28(2), 561–569.

    Article  Google Scholar 

  • Jonas, J. R. (2010). Source credibility of company-produced and user-generated content on the internet: an exploratory study on the Filipino youth. Philippine Management Review, 17, 121–132.

    Google Scholar 

  • José-Cabezudo, R. S., & Camarero-Izquierdo, C. (2012). Determinants of opening-forwarding e-mail messages. Journal of Advertising, 41(2), 97–112.

    Article  Google Scholar 

  • Lawrence, B., Fournier, S., & Brunel, F. (2013). When companies don’t make the ad: a multimethod inquiry into the differential effectiveness of consumer-generated advertising. Journal of Advertising, 42(4), 292–307.

    Article  Google Scholar 

  • Lee, C. C., Chou, S. T. H., & Huang, Y. R. (2014a). A study on personality traits and social media fatigue-example of Facebook users. Lecture Notes on Information Theory, 2(3), 249–253.

    Google Scholar 

  • Lee, E., Kim, Y. J., & Ahn, J. (2014b). How do people use Facebook features to manage social capital? Computers in Human Behavior, 36, 440–445.

    Article  Google Scholar 

  • Leung, L. (2013). Generational differences in content generation in social media: the roles of the gratifications sought and of narcissism. Computers in Human Behavior, 29(3), 997–1006.

    Article  Google Scholar 

  • McCarthy, M (2013). Chevy to return to Oscar advertising with user-generated ad. http://adage.com/article/special-report-cannes-2013/chevy-return-oscar-advertising-user-generated-ad/242202. Accessed 7, March 2016.

  • McCole, P., & Palmer, A. (2002). Transaction frequency and trust in internet buying behavior. Irish Marketing Review, 15(2), 35–51.

    Google Scholar 

  • McCrae, R. R., & Costa, P. T. (1987). Validation of the five-factor model of personality across instruments and observers. Journal of Personality and Social Psychology, 52(1), 81–90.

    Article  PubMed  Google Scholar 

  • McCrae, R. R., & Costa Jr., P. T. (1999). A five-factor theory of personality. In L. A. Pervin & O. P. John (Eds.), Handbook of personality: theory and research (2nd ed., pp. 139–153). New York: Guilford Press.

    Google Scholar 

  • McCrae, R. R., & Costa, P. T. (2007). Brief versions of the NEO-PI-3. Journal of Individual Differences, 28(3), 116–128.

    Article  Google Scholar 

  • Michikyan, M., Subrahmanyam, K., & Dennis, J. (2014). Can you tell who I am? Neuroticism, extraversion, and online self-presentation among young adults. Computers in Human Behavior, 33, 179–183.

    Article  Google Scholar 

  • Mooradian, T. A. (1996). Personality and ad-evoked feelings: the case for extraversion and neuroticism. Journal of the Academy of Marketing Science, 24(2), 99–109.

    Article  Google Scholar 

  • Moore, K., & McElroy, J. C. (2012). The influence of personality on Facebook usage, wall postings, and regret. Computers in Human Behavior, 28(1), 267–274.

    Article  Google Scholar 

  • Nielsen (2012). Nielsen: global consumers’ trust in ‘earned’ advertising grows in importance. http://www.nielsen.com/us/en/press-room/2012/nielsen-global-consumers-trust-in-earned-advertising-grows.html. Accessed 7, March 2016.

  • Orth, U. R., Malkewitz, K., & Bee, C. (2010). Gender and personality drivers of consumer mixed emotional response to advertising. Journal of Current Issues & Research in Advertising, 32(1), 69–80.

    Article  Google Scholar 

  • Paldam, M. (2000). Social capital: one or many? Definition and measurement. Journal of Economic Surveys, 14(5), 629–653.

    Article  Google Scholar 

  • Pehlivan, E., Sarican, F., & Berthon, P. (2011). Mining messages: exploring consumer response to consumer-vs. firm-generated ads. Journal of Consumer Behaviour, 10(6), 313–321.

    Article  Google Scholar 

  • Petty, R. E., & Wegener, D. T. (1998). Matching versus mismatching attitude functions: implications for scrutiny of persuasive messages. Personality and Social Psychology Bulletin, 24(3), 227–240.

    Article  Google Scholar 

  • Putnam, R. D. (1995). Bowling alone: America’s declining social capital. Journal of Democracy, 6(1), 65–78.

    Article  Google Scholar 

  • Rose, P., & Kim, J. (2011). Self-monitoring, opinion leadership and opinion seeking: a sociomotivational approach. Current Psychology, 30(3), 203–214.

    Article  Google Scholar 

  • Ross, C., Orr, E. S., Sisic, M., Arseneault, J. M., Simmering, M. G., & Orr, R. R. (2009). Personality and motivations associated with Facebook use. Computers in Human Behavior, 25(2), 578–586.

    Article  Google Scholar 

  • Ryan, T., & Xenos, S. (2011). Who uses Facebook? An investigation into the relationship between the big five, shyness, narcissism, loneliness, and Facebook usage. Computers in Human Behavior, 27(5), 1658–1664.

    Article  Google Scholar 

  • Seidman, G. (2013). Self-presentation and belonging on Facebook: how personality influences social media use and motivations. Personality and Individual Differences, 54(3), 402–407.

    Article  Google Scholar 

  • Sher, P., & Lee, S. (2009). Consumer skepticism and online reviews: an elaboration likelihood model. Social Behavior and Personality, 37(1), 137–144.

    Article  Google Scholar 

  • Steyn, P., Wallström, Å., & Pitt, L. (2010). Consumer-generated content and source effects in financial services advertising: an experimental study. Journal of Financial Services Marketing, 15(1), 49–61.

    Article  Google Scholar 

  • Tazghini, S., & Siedlecki, K. L. (2013). A mixed method approach to examining Facebook use and its relationship to self-esteem. Computers in Human Behavior, 29(3), 827–832.

    Article  Google Scholar 

  • Teng, S., Wei Khong, K., Wei Goh, W., & Yee Loong Chong, A. (2014). Examining the antecedents of persuasive eWOM messages in social media. Online Information Review, 38(6), 746–768.

    Article  Google Scholar 

  • Thompson, D. V., & Malaviya, P. (2013). Consumer-generated ads: does awareness of advertising co-creation help or hurt persuasion? Journal of Marketing, 77(3), 33–47.

    Article  Google Scholar 

  • Tormala, Z. L., Briñol, P., & Petty, R. E. (2007). Multiple roles for source credibility under high elaboration: it’s all in the timing. Social Cognition, 25(4), 536–552.

    Article  Google Scholar 

  • Tuten, T. L., & Bosnjak, M. (2001). Understanding differences in web usage: the role of need for cognition and the five factor model of personality. Social Behavior and Personality: An International Journal, 29(4), 391–398.

    Article  Google Scholar 

  • Wang, J., Jackson, L. A., Zhang, D., & Su, Z. (2012). The relationships among the big five personality factors, self-esteem, narcissism, and sensation-seeking to Chinese university students’ uses of social networking sites (SNSs). Computers in Human Behavior, 28(6), 2313–2319.

    Article  Google Scholar 

  • Willemsen, L. M., Neijens, P. C., & Bronner, F. (2012). The ironic effect of source identification on the perceived credibility of online product reviewers. Journal of Computer-Mediated Communication, 18(1), 16–31.

    Article  Google Scholar 

  • Wilson, K., Fornasier, S., & White, K. M. (2010). Psychological predictors of young adults’ use of social networking sites. Cyberpsychology, Behavior, and Social Networking, 13(2), 173–177.

    Article  Google Scholar 

  • Zaichkowsky, J. L. (1985). Measuring the involvement construct. Journal of Consumer Research, 12(3), 341–352.

    Article  Google Scholar 

  • Zimbardo, P. G., & Boyd, J. N. (1999). Putting time in perspective: a valid, reliable individual-differences metric. Journal of Personality and Social Psychology, 77, 1271–1288.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Jin Kyun Lee or Shu-Yueh Lee.

Ethics declarations

Conflicts of Interest

Author Jin Kyun Lee declares that he has no conflict of interest.

Author Shu-Yueh Lee declares that she has no conflict of interest.

Author Sara Steffes Hansen declares that she has no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed Consent

Informed consent was obtained from all individual participants included in the study.

Appendix

Appendix

Fig. 5
figure 5

Screenshot of Nokia 5800 video clip

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lee, J.K., Lee, SY. & Hansen, S.S. Source Credibility in Consumer-Generated Advertising in Youtube: The Moderating Role of Personality. Curr Psychol 36, 849–860 (2017). https://doi.org/10.1007/s12144-016-9474-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12144-016-9474-7

Keyword

Navigation