Big Data = Big Deal
This week in KCB206, we explored new media, big data and telemetrics. My initial impression of the topic was, ‘Oh, that sounds boring’, then after Darryl Woodford’s presentation and the related videos, my feeling towards the topic quickly turned to fear.
I always thought it was a bit unnerving that the Maps app on my iPhone knows ‘the direction to home’. Now, I know how it knows, and it is scary.
Every action made online, whether it’s a post, a search, a tag, a purchase, a new account, or anything you click, every bit is a piece of digital information that is documented and sent off into the infinite realm of big data. This data is then put in the hands of researchers, who compile this information for commercial companies and governments to gain knowledge of you, the user, in order to alter and personalise the online experience to suit your interests.
Yeah, scary.
But Eric Siegel assures us in his reading that ‘data embodies a priceless collection of experience from which to learn’ (2013, 3), so despite its scariness, it is a valuable source of digital information and can also lead to potential opportunities for improved technologies, especially predictive technology. To which Siegel further highlights, ‘the process of machines learning from data unleashes the power of this exploding resource. It uncovers what drives people and the actions they take-what makes us tick and how the world works. With the new knowledge gained, prediction is possible’ (2013, 4). The ability to predict human response and behaviours towards certain circumstances would be beneficial for these companies and for everyday people alike.
However, at the same time Siegel acknowledges that prediction is not and never will provide definite answers. He states, ‘the future is unknown, and uncertainty is the only thing about which we're certain’ (2013, 10). But that’s okay, apparently, as predictions do not need to be completely accurate in order to produce valuable information.
Siegel’s reading changed my feelings towards big data to be hopeful for the opportunities that it may produce. But that was quickly changed after I did a quick search of the Internet and found that big data is a subject heavily studied by numerous researchers from an array of academic fields. A particular video took me back to the fearful and nervous disposition. Alessandro Acquisti addressed the serious privacy issues that are at the centre of the big data studies. He asserts, ‘we do reveal so much more information about ourselves online than ever before, and so much information about us is being collected by organizations. Now there is much to gain and benefit from this massive analysis of personal information, or big data, but there are also complex trade offs that come from giving away our privacy.’ (2013)
The full video:
These and many more videos posted online disclose the potential benefits and limitations of big data research. Overall though, I’m still a bit anxious. The data that is being collected about me may be for good reason, and may even be beneficial to me. Yet, the idea that all of my online activity is documented and tracked and saved for reasons that are unknown to me, needless to say, makes me a little uneasy.
References
Siegel, Eric. 2013. “Introduction – The Prediction Effect.” In Predictive Analytics, 1-16. Hoboken, NJ: John Wiley and Sons Inc.
Woodford, Darryl. 2014. KCB206 Lecture: New Media, Big Data and Telemetrics. Accessed May 11, 2014. http://www.dpwoodford.net/wp-content/uploads/2014/02/KCB206-Big-Data-Lecture_Small.pdf
Woodford, Darryl, Katie Prowd and Axel Bruns. (forthcoming). “Telemetrics: Towards Measuring Social Media Engagement with Television.”










