Privacy Part 1: Corporate Data Gathering: Difference between revisions

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[[User:Castille|Castille]] 16:33, 29 March 2014 (EDT)
[[User:Castille|Castille]] 16:33, 29 March 2014 (EDT)
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The data we can gather through automation is undoubtedly incredible. The weakness with big data lies in the quality - relying too much on the results spit out from the tools could lead to numerous mistakes. That’s when human intellect comes into play; real-time observation and analysis will be critical for spotting errors.
Human ingenuity is the source of progress.  Any company can better leverage the data available to them and generate a competitive advantage, as long as they’re equipped with inquisitive minds and critical thinkers who can best apply the data presented. [[User:Marissa1989|Marissa1989]] 02:01, 31 March 2014 (EDT)

Revision as of 02:01, 31 March 2014

April 1

A persistent fear throughout all of the Internet’s operation is the Internet’s treatment of a person’s own privacy. We have a hard time defining the term, much less determining what role it should play in deciding the whos, whats, and hows of Internet governance. Nevertheless, the Internet’s present evolution indicates that unless we spend time contemplating the reinforcing privacy online, our interests may fall to the interests of profitability, online behavior regulation, and cybersecurity.

Over the next two weeks we'll look at privacy, beginning with general concepts of privacy, how data is measured and gathered on the web, and some specific legal responses to privacy concerns. Next week we'll build on these concepts with an eye toward government surveillance and law enforcement.

Our own David O'Brien will be leading the class discussion this week.

Assignments

The deadline for Assignment 3 moved from March 25th to today, April 1st. Please upload your assignment prior to class today.


Readings

Conceptualizing privacy
Privacy and data
Corporate data practices

Optional Readings


Videos Watched in Class

Links

Class Discussion

Please remember to sign your postings by adding four tildes (~~~~) to the end of your contribution. This will automatically add your username and the date/time of your post, like so: Andy 15:12, 7 November 2013 (EST)


This week's readings on privacy have been really thought provoking. Whether we have a 'right' to internet privacy is a tough subject to ponder, as we have no obligation to use the internet, thus making our use subject to a company's terms, yet there are also a number of other factors to consider. Some of the biggest concerns are that the "data collection" isn't merely studied but disseminated, and also that that collection doesn't end at internet usage. It infiltrates every aspect of our lives, with surveillance footage being taken unbeknownst to those being viewed. I'm not sure if it was in this class or in another discussion, but supposedly we're not far away from a kind of optical monitoring whereby stores can track what a shopper looks at most intently to cater advertising to them specifically. Where does this invasion of privacy end?

Adding to the links above, I found this article linked in one of the above articles. It's very informative and interesting.

http://query.nytimes.com/gst/fullpage.html?res=9E0CE3DD1F3FF93AA3575BC0A9609C8B63

Sidebar- loved the article by Veldt on LinkedIn... I, too, have always wondered HOW they can suggest people who I know in real life but with whom I haven't had any connection with via social networks or even e-mail.

Castille 16:33, 29 March 2014 (EDT)


The data we can gather through automation is undoubtedly incredible. The weakness with big data lies in the quality - relying too much on the results spit out from the tools could lead to numerous mistakes. That’s when human intellect comes into play; real-time observation and analysis will be critical for spotting errors. Human ingenuity is the source of progress. Any company can better leverage the data available to them and generate a competitive advantage, as long as they’re equipped with inquisitive minds and critical thinkers who can best apply the data presented. Marissa1989 02:01, 31 March 2014 (EDT)