Social Implications Of Folksonomy

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Since I have worked in the computer field for 30 years and the subject matter was mostly on the global impact of the Internet, there was no words I didn 't actually know. So I chose words rarely if ever used in the field. The words are from the assignment but the definitions are mine.
Folksonomy: (noun) A user defined way of organizing on-line content so that categories and tags can be used to find and retrieve the content ("folksonomy," n.d.).
Symbolic Worker: (noun phrase) This means telecommuter, home worker or perhaps nomad worker. In the Business world this term is rarely if ever used.
folksonomy. (n.d.). In Oxford dictionaries - dictionary, thesaurus, & grammar. Retrieved from
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Under the current system, there is no option to opt out and still lead a normal life. You don 't own your own data and any truly private information derived through analytics is available on-line for a price (regardless of how private or inaccurate it is). The issues of social control is also very disturbing. I have no answers to these issues. It seems that no one out there really cares. At least they don 't care enough to give up free operating systems like Microsoft 10, free emails and search engines like Google, or free social media sites like Facebook. There is an old saying “There is nothing more expensive than something that is free”. Here is a link which perfectly summarizes my ideas and my fears. Please follow this link and watch the video …show more content…
“Consumer information”, Federal Trade Commission. Retrieved from Hatton, C. (Octorber 26, 2015), “China 'social credit ': Beijing sets up huge system”, BBC news. Stanley, J. (October 5, 2014), “China’s nightmarish citizen scores are a warning for americans”,
American civil liberties union. Retrieve February 21, 2016 from Silverman, R. (2016 , February 16). The Wall Street Journal. “Bosses tap outside firms to predict which workers might get sick”. Retrieved February 21, 2016 From
Yap, C. & Wong, G. (November 6, 2015). “China Wants to Tap Big Data To Build A Bigger Brother”, The wall street journal. Retrieved February 21, 2016 from

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