Examples of using Algorithmic confounding in English and their translations into Greek
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Financial
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Official/political
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Computer
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.
The ways that the goals of system designers can introduce patterns into data is called algorithmic confounding.
System drift is closely related to a problem called algorithmic confounding, which I will cover in section 2.3.8.
The ways that the goals of system designers can introduce patterns into data is called algorithmic confounding.
Algorithmic confounding is relatively unknown to social scientists, but it is a major concern among careful data scientists.
And, unlike some of the other problems with digital traces, algorithmic confounding is largely invisible.
Algorithmic confounding is relatively unknown to social scientists, but it is a major concern among careful data scientists.
Further, as I will describe more below, these data sources are sometimes impacted by the goals of platform owners,a problem called algorithmic confounding(described more below).
In this previous example, algorithmic confounding produced a quirky result that a careful researcher might detect and investigate further.
Further, as I will describe later in the chapter, the behavior captured in big data sources is sometimes impacted by the goals of platform owners,an issue I will call algorithmic confounding.
Algorithmic confounding means that we should be cautious about any claim for human behavior that comes from a single digital system, no matter how big.
The second important caveat about Google Flu Trends is that its ability to predict the CDC flu data was prone to short-term failure andlong-term decay because of drift and 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(Ugander et al. 2011).
Algorithmic confounding means that we should be cautious about any claim regarding human behavior that comes from a single digital system, no matter how big.
However, there is an even trickier version of algorithmic confounding that occurs when designers of online systems are aware of social theories and then bake these theories into the working of their systems.
Unfortunately, dealing with algorithmic confounding is particularly difficult because many features of online systems are proprietary, poorly documented, and constantly changing.
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, as was discovered by Johan Ugander and colleagues(2011).
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, as was discovered by Johan Ugander and colleagues(2011).