Facebook will analyze how rich or poor the user

Techno 7 February, 2018

2018-02-07 08:22

Facebook will analyze how rich or poor the user
In Facebook patented statistical methodology to determine socio-economic classes of users, depending on their education, place of residence and travel history.

Sign up for news “UkrMedia” in Facebook, Twitter or Google+

In Facebook patented statistical methodology to determine socio-economic classes of users, depending on their education, place of residence and travel history.

This is stated in the article, analysts CBInsights, reports Rus.Media.

A new patent suggests that the system will guess if the user belongs to “middle class”, or two other classes, the newspaper writes. To do this, it will apply the so-called “decision tree” — a tool used when compiling statistics and analyzing data.

The system will consider the user data that Facebook has. The socio-economic situation will depend on a person’s age, level of education, place of residence, the number of gadgets and availability of private housing, the regularity of Internet usage and travel history.

In Facebook note that a patent directed at “a third party that seeks to raise awareness of products or services, online users”. Such representatives include, for example, private corporations and charitable organizations.

Likely, Facebook will be able to use technology to target our advertising and other content more accurately.

The decision tree begins with determining the age of the user. This creates a benchmark for which other data points will have a value for the class definition, for example, the availability of private housing is a more significant indicator for 30-40-year-old audience than users 20 years of age.

The system also mstetice global information about the market research that will help to train the classifier attributes associated with different socio-economic classes.

This patent, the company issued together with a number of other patents that relate to tracking emotions, because Facebook seems to be trying to obtain more detailed data about how its user base responds to different ads, content and more.