Monday, November 25, 2019

Week 13: Dataveillance



 Dataveillance is the surveillance of ones activities by studying a data trail created by actions such as credit card purchases, phone calls, and internet use. It is often done discreetly through hard drives and the social media sites you may visit. It is most frequently used a lot for chasing fugitives, prosecuting criminals, and spying on suspicious figures. 


There are three different types of dataveillance, Personal Dataveillance, refers to the collection and monitoring of a person’s personal data when the data has caused some suspicion. Ex. birthdate, address, social security and any other numbers that are unique to you. Mass Dataveillance,whcih refers to the collection of data on groups of people, which most often happens discreetly. Facilitative Mechanisms, in this case a group is not targeted and an individual's information is placed into a system or database along with various other people where computer matching can unveil distinct patterns. This kind of monitoring has some benefits and some down sides. The benefit is it helps to monitor criminal activity and eventually catch them, the down side is it takes away the privacy from the innocent public like me or my friends and family. I personally do not like knowing that my personal data like, birthdate, social security, address, etc are out there because someone could take that data and use it fraudulently because who is to say it's fully secure. In an article I read about dataveillance for my presentation, it talked about Mass Dataveillance and how certain groups like muslims and Spanish get monitored more because of their race. I see that as another downside to this type of surveillance because it is not fair to make assumptions like that and take away more of someone's freedom because of our society's common discriminatory views.

In my opinion this kind of monitoring should not be allowed to this degree and should only be used for people who have raised suspicion because it's not fair to put innocent people in jeopardy of data leaks and discrimination.