Social media networks make up a large percentage of the content available on the Internet today and most of the time users spend online is in interacting with them. All of the seemingly small pieces of information added by billions of people result in an enormous rapidly changing dataset. Searching, correlating, and understanding billions of individual posts is a significant technical problem. However new tools such as distributed data-stores, and distributed map reduce algorithms are allowing average individuals to work with these data sets in surprising and sometimes disturbing ways. This webinar covers the basics of policy and privacy as it relates to social media analytics. We will discuss some of the information available, what the information can tell us about specific individuals, and some of the legal issues associated with being an end user of these sites and an analyst collecting data from them.
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