Three Thought Patterns That Let Advertisers Influence You on Social Media
Advertising has a staggering impact on what we buy, what we do, and how we behave. Some ad-campaigns alone have managed to trigger international shifts in culture and consumption. One of the most famous examples is that of Gillette, some one-hundred years ago. At the time, the company decided to expand its product selection to include women’s razors — on the off-chance they would catch on — and introduced adverts for the new product. As a result, they produced consumer demand which now extends across most of the western world, along with a trend for women’s body hair removal which had not existed prior to Gillette’s ad-campaign.
The impact of Gillette’s marketing demonstrates just how much advertisers’ advances can influence our behavior, both individually and collectively. Now, with the ubiquity of social media, advertisers see new opportunities: indeed, worldwide budgets for social media advertising are predicted to have soon doubled from 2014 levels, and revenue from these efforts has more than doubled, according to Statista.com. Given that advertisers are constantly refining their social media engagement, it is increasingly important to ask ourselves: how (and and to what end) might advertisers be aiming to manipulate us on social media?
References
[1]. William M. O’Barr, “‘Subliminal’ advertising”, Advertising & Society Review 6, no. 4 (2005): https://doi.org/10.1353/asr.2006.0014.
[2]. Morton Deutsch, and Harold B. Gerard, “A study of normative and informational social influences upon individual judgement”, Journal of Abnormal Psychology 51, no. 3 (1955): 629-636, https://doi.org/10.1037/h0046408.
[3]. Brett A. S. Martin, Daniel Wenczel, and Torsten Tomczak, “Effects of susceptibility to normative influence and type of testimonial on attitudes toward print advertising”, Journal of Advertising, 37, no. 1 (Spring 2008): 29-43, https://doi.org/10.2753/JOA0091-3367370103.
[4]. Lauren E. Sherman, Ashley A. Payton, and Leanna M. Hernandez, “The power of the like in adolescence: Effects of peer influence on neural and behavioral responses to social media”, Psychological Science 27, no. 7 (2016): 1027-1035, https://doi.org/10.1177/0956797616645673.
[5]. Michael R. Sciandra, Cait Lamberton, and Rebecca Walker-Reczek, “The wisdom of some: Do we always need high consensus to shape consumer behavior?” Journal of Public Policy & Marketing, 36, no. 1 (Spring, 2017): 15-35, https://doi.org/10.1509/jppm.14.123.
[6]. Truong Hai Huyen Thanh, “The impacts of celebrity endorsement in ads on consumers purchasing intention: A case of Facebook”, International Journal of Science and Technology Research, 5, no. 8 (2016): 25-27, https://www.ijstr.org/final-print/aug2016/The-Impacts-Of-Celebrity-Endorsement-In-Ads-On-Consumers-Purchasing-Intention-A-Case-Of-Facebook.pdf
[7]. Michael A. Hogg, and John Turner, “Social identity and conformity: A theory of referent informational influence”, in Current Issues in European Social Psychology, eds. Willem Doise, and Serge Moscovici (Cambridge: Cambridge University Press, 1987), 139-182.
[8]. Simon Hill, “How much do online advertisers really know about you? We asked an expert”, Digital Trends, June 27, 2015, https://www.digitaltrends.com/computing/how-do-advertisers-track-you-online-we-found-out/.
[9]. Dikla Perez, and Yael Steinhart, “Not so personal: The benefits of social identity ad appeals with activation in advertising”, Social Influence 9, no. 3 (2014): 224-241, https://doi.org/10.1080/15534510.2013.822825.
[10]. C. Norman Alexander, Lynne G. Zucker, and Charles L. Brody, “Experimental expectations and auto kinetic experiences: Consistency theories and judgmental convergence”, Sociometry, 33, no. 1 (1970): 108-122, https://doi.org/10.2307/2786275.
[11]. Hugo Liu, “Social network profiles as taste performances”, Journal of Computer-Mediated Communication, 13, no. 1 (2008): 252-275, https://doi.org/10.1111/j.1083-6101.2007.00395.x.
[12]. Marilynn B. Brewer, and Linnda R. Caporael, “An evolutionary perspective on social identity: Revisiting groups,” in Evolution and Social Psychology, eds. Mark Schaller, Jeffry A. Simpson, and Douglas T. Kenrick (Madison, CT: Psychosocial Press, 2006), 143-161.
[13]. Elaine Walster, and Leon Festinger, “The effectiveness of ‘overheard’ persuasive communications”, The Journal of Abnormal and Social Psychology, 65, no. 6 (1962): 395-402, https://dx.doi.org/10.1037/h0041172.
About the Author
Hannah Potts
Hannah completed a conversion MSc in Psychology at Brunel University, having taken her undergraduate degree at Cambridge in English Literature. With several years’ experience working in business (finance and insurance), her particular interests lie in applying cognitive psychology to decision-making and its application in consumerism and the workplace.
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