Examples of using Algorithmic confounding in English and their translations into Dutch
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Colloquial
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Official
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Ecclesiastic
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Medicine
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Financial
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Computer
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Ecclesiastic
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Official/political
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Programming
How does this compare to algorithmic confounding?
Algorithmic confounding is relatively unknown to social scientists,
The dynamic nature of algorithmic confounding is one form of system drift.
However, the magnitude of transitivity in the Facebook social graph is partially driven by algorithmic confounding.
The dynamic nature of algorithmic confounding is one form of system drift.
Algorithmic confounding is relatively unknown to social scientists,
System drift is closely related to problem called algorithmic confounding to which we now turn.
In this previous example, algorithmic confounding produced a quirky result that a careful researcher might detect and investigate further.
And, unlike some of the other problems with digital traces, algorithmic confounding is largely invisible.
In the case of performative algorithmic confounding, the confounded nature of the data is very difficult to detect.
Evaluate these systems in terms of issues of scientific value, algorithmic confounding(see Chapter 2), and ethics.
Algorithmic confounding means that we should be cautious about any claim for human behavior that comes from a single digital system,
Evaluate these systems in terms of issues of scientific value, algorithmic confounding(see Chapter 2), and ethics.
Algorithmic confounding means that we should be cautious about any claim regarding human behavior that comes from a single digital system,
System drift is closely related to a problem called algorithmic confounding, which I will cover in section 2.3.8.
Unfortunately, dealing with algorithmic confounding is particularly difficult because many features of online systems are proprietary,
a problem called algorithmic confounding described more below.
A relatively simple example of algorithmic confounding is the fact that on Facebook there are an anomalously high number of users with approximately 20 friends Ugander et al.
long-term decay because of drift and algorithmic confounding.
However, there is an even trickier version of algorithmic confounding that occurs when designers of online systems are aware of social theories
goals of platform owners, an issue I will call algorithmic confounding.
A relatively simple example of algorithmic confounding is the fact that on Facebook there are an anomalously high number of users with approximately 20 friends,
to short-term failure and long-term decay because of drift and algorithmic confounding.
More pernicious than this previous example where algorithmic confounding produced a quirky result that a careful researchers might investigate further, there is an even trickier version of algorithmic confounding that occurs when designers of online systems are aware of social theories