retrieved indefinitely”. According to Kerr & Barrigar, it appears that network technologies are evolving architectures of freedom to architectures of control”. “from For example, data mining algorithms, such as Google’s and HTTP PageRank cookies, are sophisticated algorithmic surveillance software programs designed to extract patterns and knowledge from mountains of historical data collected from billions of unconnected people in order to predict consumer behavior. Data scraper applications through twitter feeds, blogs, social networking sites, online forums, bulletin boards, “troll and chat rooms” in real time searching for correlations that will reveal the “emotional pulse of the internet”. These surveillance programs are generally undetectable by their objects with the exception of occasional tailored pop-up ads. The fact that they are undetected, however, does not mean that they are not collating, analyzing and selling information at a dizzying pace. The following examples illustrate how the information from data mining algorithms is utilized. Acxiom, a US marketing-communication agency, cross-analyzes consumer data from the most prestigious automotive companies, credit card issuers, banks, telecom companies, retailers, brokerage firms, pharmaceutical manufacturers, insurance providers, lodging companies, and gaming companies to identify their client’s eXelate, a leading targeting exchange, uses data mining algorithms precise target market. to scour website registration data to collect data on the age, sex, ethnicity, marital status, profession, and consumer activities to determine who is to targeted most vulnerable advertising. Rapleaf through HTTP cookies using data sells access to individuals collected from over 900 million blogs, internet forums, and social networks, 400 million consumers, and 52 billion friend connections. Lotame over gathers, monitors and stores
retrieved indefinitely”. According to Kerr & Barrigar, it appears that network technologies are evolving “from architectures of freedom to architectures of control”. For example, data mining algorithms, such as Google’s PageRank and HTTP cookies, are sophisticated algorithmic surveillance software programs designed to extract patterns and knowledge from mountains of historical data collected from billions of unconnected people in order to predict consumer behavior. Data scraper applications “troll through twitter feeds, blogs, social networking sites, online forums, bulletin boards, and chat rooms” in real time searching for correlations that will reveal the “emotional pulse of the internet”. These surveillance programs are generally undetectable by their objects with the exception of occasional tailored pop-up ads. The fact that they are undetected, however, does not mean that they are not collating, analyzing and selling information at a dizzying pace. The following examples illustrate how the information from data mining algorithms is utilized. Acxiom, a US marketing-communication agency, cross-analyzes consumer data from the most prestigious automotive companies, credit card issuers, banks, telecom companies, retailers, brokerage firms, pharmaceutical manufacturers, insurance providers, lodging companies, and gaming companies to identify their client’s precise target market. eXelate, a leading targeting exchange, uses data mining algorithms to scour website registration data to collect data on the age, sex, ethnicity, marital status, profession, and consumer activities to determine who is most vulnerable to targeted advertising. Rapleaf sells access to individuals through HTTP cookies using data collected from over 900 million blogs, internet forums, and social networks, 400 million consumers, and 52 billion friend connections. Lotame gathers, monitors and stores over
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