Social media and predictive consumption.
As social media continues to pervade (what feels like) every facet of our lives, human behaviour becomes monitored, recordable. The plotting of users’ social media activity allows Facebook, and subsequent marketing firms and advertising strategies to monitor past and predict future habits of consumption. As a result, audiences are now viewed not as a homogeny, but rather a highly fragmented collection of individuals, to whom advertising is specifically tailored. As Siegel (2013) puts it, organisations are endowed with “an entirely new form of competitive armament.” The ethics of this practice have been scrutinised at length, insofar as consumers complaining that they (though legally consenting - by accepting the applicable social media platform’s privacy agreement for use) haven’t consciously consented to the relaying of their online activity.
Harrington (2013) characterises the modern era of television as “post-broadcast” and “post-network”, in that television consumption is no longer hindered by physical televisions and timeslots. Personally I am a proponent of this trend. In my day to day life, very little of what I watch is viewed on a television; increasingly I am drawn to services like ABC’s iView and SBS’s On Demand service for their convenience.
Similarly, social interaction has turned to the online. More than that though, the construction of identity is done online. The personalisation of Tumblr accounts, the ‘liking’ of Facebook pages that reflect tastes and empathies, the sharing of links to evince political ideology and so on are all palpable examples of social media users’ construction of identity online. I’m guilty of engaging in this practice: I’ve ‘liked’ and shared many pages that I thought to be interesting.
I soon began to notice the adverts on the sidebar of my Facebook newsfeed becoming strangely relevant to me. For example, as a follower of music, I received adverts for offshore rare record traders who stocked artists I had liked. This trend continued though, and soon the advertising was recommending similar artists, clothing for those artists, and tickets for upcoming gigs. Most interestingly though, one day I received an ad for discounted protein supplements (to mind, I’d neither followed links to supplement pages or even links vaguely pertaining to fitness or muscle building). This raised the question in my mind though: was I being exposed to this ad simply because I am a male?; or does my omission of fitness pages suggest (to the entity plotting my social media activity) that I am not maintaining my fitness, and by extension, would appreciate protein supplements?
If the latter is so, Siegel (2013) proffers this would be tangible evidence of social media’s role not only as a predictor of consumer behaviour, but as a veritable shaper of consumption.
It seems to me that consumers must strive to protect themselves against such sophisticated advertising strategies. At the very least, whether or not social media users are comfortable with the ethics of their online activity being tracked, they develop an awareness of when they are being manipulated.
References:
Harrington, S. (2013). “Ch 18 Tweeting about the Telly: Live TV, Audiences, and Social Media.” In Twitter and Society edited by Katrin Weller, Axel Bruns, Jean Burgess, Merja Mahrt & Cornelius Puschmann, 237-248. New York, NY: Peter Lang.
Siegel, Eric. 2013. “Introduction – The Prediction Effect.” In Predictive Analytics, 1-16. Hoboken, NJ: John Wiley and Sons Inc.













