Week Ten: It's a data invasion.. Not really.. But really
Social media plays a big part in our lives today, a facet of which has just started to take off is through our consumption and interaction with our old friend, the television. Increasingly today we see our favourite television shows throwing in references to social media, whether it be prompting you to a page to get a sneak peak of what’s coming up next week, or to ‘join a conversation’ with others, more and more people are getting involved, in ways not previously available or imaginable. So how does this benefit anybody?
The first group of people that this level of audience participation benefits is of course the content creators and television networks who are distributing the content. The Twitter excitement index, introduces the ability to measure the level of discussion on Twitter about a specific show, whether before, during or after the show, this allows those who are distributing the content to see fans reactions directly, good or bad, and see how audiences change week to week, even country to country (Woodford, 2014). This is, when it all boils down to it, a new way to gather data from audiences in a way that is vastly quicker than content distributors have ever had, while the information gathered and analyzed through Neilson SocialGuide and other companies has not yet publically published, statistics can be drawn from sporting events and the like to draw on conclusions as to audience interaction (Woodford, 2014).
I’m sure we’ve all experienced this in some way shape or form, either we have ourselves participated in a shows discussion or gone to their Facebook or Twitter page to see their sneak peak of next weeks show. But what are we actually doing when we do this, besides annoying our friends who couldn’t care less what happened on My Kitchen Rules. We’re, as mentioned above, participating in the data collection for large corporations who can take it, and with a public forum such as Facebook, use it in a way that will build a new series of shows that we surprisingly like! By gathering data corporations have a priceless collection of experiences from many different worlds from which they can learn (Siegel, 2013).
In summing up, while we think we’re just having some fun and talking with people of a like mind, watching the same television shows, there is a much greater purpose to us partaking in the online debate and hashtagging our lives away on social media. Corporations are collecting big data in ways they haven’t before been able to, which can be a scary thought, our lives are able to be accessed by a greater number of people, quicker and easier than ever before and overall we seem pretty happy with that, because we get to watch shows that appeal to us.
Bibliography
Siegel, Eric. 2013. “Introduction – The Prediction Effect.” In Predictive Analytics, 1-16. Hoboken, NJ: John Wiley and Sons Inc.
Woodford, Darryl, Katie Prowd and Axel Bruns. 2013. “Telemetrics: Towards Measuring Social Media Engagement with Television.”
Woodford, Darryl. 2014. Week 9 – New Media, Big Data and Telemetrics (guest lecture by Darryl Woodford). Retrieved from: http://blackboard.qut.edu.au/webapps/portal/frameset.jsp













