Big Data: Utopian or Orwellian?
New media has paved the way for the development of big data, allowing it to become more integrated, and invasive, than ever before. This post will look into what it is, as well as its numerous benefits and disadvantages.
Before investigating the strengths and weaknesses of big data, the concept needs to be clearly understood. Big data is an umbrella term which refers to the information gathered by methods, in most cases digital, such as data gathering, processing, analytics and visualisation (Woodford, 2014). In terms of new media, this data is gathered from many social media sites. Woodford et al (forthcoming) even came up with the ‘Twitter Excitement Index’, which helps to determine how consistent the level of tweeting is in relation to an event. It is clear from this that new media has allowed big data to become more effective and inclusive, which leads to the question of whether this is a good thing.
Eric Siegel (2013), talks about the ‘Clairvoyant Computer’, created by “computers automatically developing new knowledge and capabilities by furiously feeding on modern society's greatest and most potent unnatural resource: data.” In other words, computers are able to make predictions through the use of big data. The applications of this are extremely extensive. Siegel (2013) provides examples such as the fact that “Hollywood studios predict the success of a screenplay if produced” or that “the leading career-focused social network, Linkedin, predicts your job skills”. From the last example, it is clear that there are certain disadvantages, at least from the consumers’ perspective.
Hipponen (2013) goes so far as to say that “Orwell was an optimist” in this TED talk:
He argues that the US government, in order to get access to big data, “take something that is secure and make it less secure on purpose.” He also says that “whoever tells you that they have nothing to hide simply haven’t thought about it long enough” arguing that ”search engines know more about you than your family.” His main point is that “privacy is the building block of our democracies”, therefore companies, or in his argument, governments taking that away to use for big data take away from freedom and democracy.
Big data in a new media landscape has allowed for a world where predictions can be made more accurately than ever before, allowing for a much higher quality of goods and services. It does seem, though, that this has come at a high cost to society – its privacy and freedom. The question is how far can it be pushed; at what point do we as a society refuse to pay such a price?
References
Hypponen, Mikko. 2013. “How the NSA Betrayed the World’s Trust – Time to Act” [Lecture]. Retrieved from https://www.ted.com/talks/mikko_hypponen_how_the_nsa_betrayed_the_world_s_trust_time_to_act#t-1001204
Siegel, Eric. 2013. “Introduction – The Prediction Effect.” In Predictive Analytics, 1-16. Hoboken, NJ: John Wiley and Sons Inc. Retrieved from https://qutvirtual3.qut.edu.au/qv/olt_material_search_p?p_unit_code=KCB206
Woodford, Darryl, Katie Prowd and Axel Bruns. (forthcoming). “Telemetrics: Towards Measuring Social Media Engagement with Television.” Retrieved from https://qutvirtual3.qut.edu.au/qv/olt_material_search_p?p_unit_code=KCB206
Woodford, Darryl. 2014. “New Media, Big Data & Telemetrics [Lecture Notes]. Retrieved from http://blackboard.qut.edu.au/webapps/portal/frameset.jsp?tab_tab_group_id=_4_1&url=%2Fwebapps%2Fblackboard%2Fcontent%2FlistContent.jsp%3Fcourse_id%3D_108110_1%26content_id%3D_5232451_1














