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Internet User Data Identity

Digital citizen create their data points though their digital footprint to develop their digital identity. These data points are collected and stored and sorted out through an algorithm programs and softwares that company uses to interpret users profile . Social media for example arranged a customized interests based on previous searched contents on the website with the user's geo tagged location will identify what data related recommendations and suggestions will show on your next browse because of these patterns of interaction generated. These data points are tied to a user's personal information, collected when registered and logged in an account created or sometimes it is simply by the IP address of user's personal devices connected online.

Internet user data identity created a series of predictions based on available data points. Users are sorted bout based on race, gender, religion, nationality, income and other factors that can contributed to their digital identity. The rules for users categorizations are generally based on the data mined from the algorithmic program.

User's Classification Identity

Social sorting, is a result of categorizing and classifications of digital citizen. These invisible procedures often embedded in our social structure. Consumer profile is what companies wanted. A user data profile is an exquisite target that propels company for a gigantic methods to acquire the data that they can convert and generate into a massive amount of profits . These users data points are rated through an automatic system that judge the user profile .

Users data are colour coded. As credit score is often use to evaluate the credit history of a person. A bank procedure to understand your credit and debt profile. The evaluated result will recommend how user should be treated though their financial record giving the bank an overwhelming control over the people. Such predictive software programs often times proposed a pervasive loophole of the program, making its results questions for accuracy.

In social media, users were offered free services as long as they share private information about themselves. Users can share information, connect with other users, and exchanges data as these actions were created under the user's profile. The information taken made them a commodities and be sold to advertisers and marketers by these internet entity. These tradeoffs of free services transformed users into a products .

Data Economy

The internet data processed and analyzes the data points to be monitored and to keep track of the growing data. Data-driven companies established a functions into which help their businesses grows in a much significant advantages. The new end points data collected will create another sets of data delivered into a unique sets of algorithm that will identify the user's internet data identity to enhance human comodification and significantly increased business financial stability.

McChesney proposed a political economic lens is essential to understanding the future of digital economy and big data . As data comes literally from everywhere. These data are essential to evaluate the control of the big data. However, determining into which data assets a company should monetize and/or acquire is complex.

Technology is a result of social needs. The transformation of social institutions impacting the approaches for the benefits of the citizens both negative and positive ways. The Information Communication Technology, reveals and illustrates a gigantic results of control and reshaping the society.

Price of Data

Data has become monetize as companies have learn how to use it. The data economy has been the basis for these companies as they increase their resources for a substantial effort to value data. Businesses need users data profiles as such users extensive amount of data points are being profiled, mostly users are unaware of or have limited knowledge on how it works, these distinctive method of user profiling created in favour of the company goals for income generation.

The internet entity algorithmic arrangements created a potential factors to transforms these data into a valuable assets. These data collected posses a high commodification whether collected as pooled to counteract to the pattern of online behavior of users. These data identification creating new data identification so that these internet entity can create profits out of the users.

Web Mining

A webdatabase has become the gold mine for data. Data mining is essential for companies to understand how to target their customers. Control over the data moving provides companies an opportunity to take advantage of the user's digital identity. The users online behaviors reveals a pattern associated their day to day basis. As such data mining role is to extract valuable information about these data points collected turns into an infinite data aggregation. These processes of metadata, data creating data are the most valuable data for internet entity as it connect the users to advertisers and marketers.

The Internet of Things are creating an extensive amount of data. These "thing" has become increasingly valuable. These data interconnected with users, instrumented by the platforms and intelligently manipulated by the algorithm. The data economy enables internet entity to sell and exchange these data points.