Facebook's User Interests Classification

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Facebook's User Interests Classification
Short Title Facebook Algorithmically Assesses User Behavior and Interests
Location United States
Date January 2019

Taxonomy Exclusion, Distortion
Information Identifying, Behavioral, Preference, Contact, Computer Device, Social Network
Threat Actors Facebook

Individuals
Affected Users of Facebook
High Risk Groups
Secondary Consequences Inconvenience

A survey has shown, that many people are not comfortable when they see how the platform categorizes them.

Description

Facebook is known for categorizing its users into categories of interests to deliver content recommendations based on supposed users’ preferences and online behavior, and to allow advertisers to target ads to relatively precise segments of the public.

A survey in the United States in January 2019 has shown, that about a third of people say they are not comfortable when they see how the platform categorizes them.

This is an example of Distortion: 27% of people surveyed say the list of interests Facebook tailored for them is not very or not at all accurate in describing them.

The individuals have no way of knowing the techniques and logic of the algorithms that perform the analyses of user preferences and algorithmically assess users, their behavior and their interests.Exclusion

Risk Statistics

Laws and Regulations

Sources

https://www.pewresearch.org/internet/2019/01/16/facebook-algorithms-and-personal-data/
https://www.nytimes.com/2020/01/07/opinion/location-tracking-privacy.html