Until this class, I\u2019ve never noticed the how much input I have to big data. \u00a0Since there are so many ways to contribute to data, I probably still don\u2019t realize them all on a daily basis. I mainly contribute to big data by my online shopping. It may be because I often shop online, but I am constantly being targeted by shopping sites suggestions for me. The suggestions either lead me to buying more items, or not being interested at all. For example, I was logged into my amazon account at work and a co-worker was searching for cat treats. I later got cat food and toy recommendations, in which I had no interest in. This gives a big misinterpretation of my online identity. On the other hand, I often see the same bathing suit advertisements on my Facebook page after buying one on that particular site. I do find this to be very useful for the company (when my identity is not misunderstood) because I do find myself clicking on those advertisements and shopping. With the knowledge of predictive analytics I am more aware, but it has not changed how much date I put out there.<\/p>\n
I did not find much when looking into my data through Google takeout. The only thing that came up for images is the picture associated with my Gmail account. My Google calendar is empty, as I typically use the calendar in my phone. A lot of data came from my Google doc, but I only use that for school work, and only when required to edit group work, so there isn\u2019t much there either. My YouTube history consisted of searches of videos that needed to be watched for class assignments. From Google takeout, companies could definitely gather that I am a student, but that\u2019s about it.<\/p>\n","protected":false},"excerpt":{"rendered":"
Until this class, I\u2019ve never noticed the how much input I have to big data. \u00a0Since there are so many ways to contribute to data, I probably still don\u2019t realize them all on a daily basis. I mainly contribute to big data by my online shopping. It may be because I often shop online, but
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