{"id":151,"date":"2016-01-19T23:11:48","date_gmt":"2016-01-20T04:11:48","guid":{"rendered":"https:\/\/eiq.knx.mybluehost.me\/website_78d26930\/bigdatacourse?p=151"},"modified":"2016-01-24T17:01:33","modified_gmt":"2016-01-24T22:01:33","slug":"deception-a-big-data-dilemma","status":"publish","type":"post","link":"https:\/\/jjsylvia.com\/bigdatacourse\/deception-a-big-data-dilemma\/","title":{"rendered":"Deception: A Big Data Dilemma"},"content":{"rendered":"<p>When I&#8217;m not in class, I&#8217;m working full-time or putting in hours at my internship, so naturally, I was skeptical about how much effort I could devote toward tracking my data contribution&#8212;and for that matter&#8212;how much of a contribution I could actually make. As a Media Studies major, I&#8217;m well-acquainted with data studies, analysis, and criticisms, but even I was surprised at just how much I contributed and the way in which I contributed.<\/p>\n<p>On Saturday, January 16th, as I made my way into work for a large retail chain&#8212;I won&#8217;t be specific for privacy reasons&#8212;I figured my interaction with big data would be relatively minimal. After all, I wouldn&#8217;t be able to use my phone&#8212;the main culprit for my data dealings&#8212;for the majority of my shift. However, what I came to realize is that I had another association with data that I wasn&#8217;t quite considering: one that is both thought-provoking and somewhat disconcerting.<\/p>\n<p>Over the course of an eight-hour shift, I worked predominantly on a cash register, checking customers out in the final step of their transactions. In order to access the sales prices that we advertise, a customer must be a registered cardholder within our system. Therein lies the proverbial rub. As I am prompted to say, the card is essentially free, at least in a monetary sense. What I fail to mention; however, is that what the customer isn&#8217;t paying me in cold cash, he or she is paying me in free data. In order to register for one of these accounts&#8212;or cards&#8212;a customer must provide name, telephone number, email address, etc. All of this information, I can only assume based off of the better reasoning I&#8217;ve acquired from criticizing media technologies over the past few years, is being fed into a database or being aggregated at a higher level of understanding.<\/p>\n<p>Ultimately, we are using this data&#8212;in a manner likely unbeknownst to the customer&#8212;to track consumer purchases, and target them, as well as suggest products for them down the road. On the 16th specifically, I scanned over 500 items for over 150 customers. I also registered 20 previously unregistered customers for our &#8220;free savings&#8221; program. Long story short, I&#8217;m titled a customer service agent, but I might as well be coded as an hourly data collector.<\/p>\n<p>More than anything, what this assignment proves to me is that I&#8217;m just another rung along the ladder in our data-driven world, whether I like it or not. It is hard to imagine being able to opt out of inclusion in such a world, given that we are so immersed in it that we oftentimes don&#8217;t even realize the extent of our own involvement. Only time will tell if systems and media through which to collect data&#8212;such as the one at my place of employment&#8212;become sophisticated enough to exclude or oppress members who choose not to indulge or feed them. Might a person be denied a prescription or product that they need to maintain basic life functions because they won&#8217;t surrender their data or cooperate with the status quo? I hope not, but whether or not we are headed in that direction as a society should be discussed.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>When I&#8217;m not in class, I&#8217;m working full-time or putting in hours at my internship, so naturally, I was skeptical about how much effort I could devote toward tracking my data contribution&#8212;and for that matter&#8212;how much of a contribution I could actually make. As a Media Studies major, I&#8217;m well-acquainted with data studies, analysis, and<br \/><a class=\"moretag\" href=\"https:\/\/jjsylvia.com\/bigdatacourse\/deception-a-big-data-dilemma\/\">+ Read More<\/a><\/p>\n","protected":false},"author":16,"featured_media":155,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-151","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-human-culture"],"_links":{"self":[{"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/posts\/151","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/comments?post=151"}],"version-history":[{"count":9,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/posts\/151\/revisions"}],"predecessor-version":[{"id":161,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/posts\/151\/revisions\/161"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/media\/155"}],"wp:attachment":[{"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/media?parent=151"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/categories?post=151"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/tags?post=151"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}