Data Mining and the Social Web

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Data Mining is a powerful tool that is designed to gather large sets of data at incredible speed and analyze them. Most companies use this tool to better understand their customer’s habits as well as their interests. Advertisers love this tool because it allows unprecedented amount of access to information. Most people are unaware that their data is being mined, bundled, and sold by a company to third party advertisers in order to make targeted ads more effective. This is a problematic practice because users are unaware that in most social media sites such as Facebook, this tool is used (Jessica Reyman “User Data on the Social Web: Authorship, Agency, and Appropriation”). Hidden deep into most terms of service is the right to sell and mine your information to third parties, because most people are unaware that this is the status quo of how social media and other sites make their money. It presents a potential privacy concern for users because they did not consciously consent to have their user information mined and sold. Data mining itself is a power tool in advertising, however does question is does the use and creation of Data mining algorithms have the potential to lead to privacy violations when it is used to create targeted advertisements? Facebook is a social media site that boasts 500 million users worldwide making this company one of the largest social media sites in the world. Facebook has had a myriad of its own controversies concerning how it addresses its users’ privacy. One such instance is how its’ terms of service (terms of service is what the user agrees to in order to use the service) is written in confusing legal jargon as many other sites in order to protect the owner’s rights. The section that has caused t... ... middle of paper ... ...are of the consequences of the terms of agreement that they are checking. The consumer believes that only simple data is being kept and used by the company. They are unaware that through the sophisticated use of data mining very personal information is being shared with numerous companies. Each company causes further layers of information to be mined and shared, thereby truly breaching a consumer’s level of confidentiality. Bibliography Reyman, Jessica. "User Data on the Social Web: Authorship, Agency, and Appropriation." College English 75.5 (2013): 513-33. Konopnicki, D. "A Statistical Approach To Mining Customers' Conversational Data from Social Media." IBM Journal of Research and Development 57.3/4 (2013): 1-13 Soriano, Jacopo, Timothy Au, and David Banks. "Text Mining in Computational Advertising." Statistical Analysis and Data Mining

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