By Emma Chu
‘Data mining has come to prominence over the last two decades as a discipline in its own right…’[1]
In light of my initial post into the questioning of whether we can truly consider, particularly in the future, machinery, technology and such devices as ‘emotionless.’
To put it in short, my subjective response would be ‘no’. With only an every ‘increasing ability of institutions to collect electronic data, facilitated by advanced computer processing, means that the desire to ‘mine’ data is likely to expend’. Technology is taking on a human form as it evolves on its own learning at the rate of all humans who have an online presence. With already a well established set of techniques, the processing of data is usually represented and demonstrated in the form of links, information, knowledge, infographics all of which when mistreated or placed in the wrong hands, can truly misinform, deceive and inhibit the ability of the public to trust sources.
A good example would be the origins of Wikipedia whose initial intentions were quite genuinely to spread and share information, however when people were able to edit the information freely this anonymous freewill created a platform for misinformation on a public archive. This is evidence for our future scenario in Project 2 where people can truly act deceptively simply because they have the ability to.
With the two platforms of people anonymous online versus physically identified, generations are becoming more and more receptive to the idea of multiple personas. One in which acts accordingly to societies rules and regulations and one who actively attempts to defy them. This brings further concern to the future of our social behaviours and what is considered both acceptable and normal, again another attribute that is further investigated throughout Project 2 and Project 3 of Interdiscplinary Lab A.
It is with almost a sadness that the future of data mining genuinely questions, alters and will potentially hang in the balance of the attitudes of their users. The environment and upbringings of said users can definitively alter the behavioural characteristics of their online persona, quod erat demonstrandum the case of Wikipedia. Data mining should be appreciated rather than used as a means to inhibit society as a quest for its ever prominent lust for knowledge.
[1] Coenen, F. 2011, “Data mining: past, present and future”, The Knowledge Engineering Review, vol. 26, no. 1, pp. 25-29.