Washington Monthly | How to Fix Facebook—Before It Fixes Us

Så kort og præcist kan det siges:

“Whenever you log into Facebook, there are millions of posts the platform could show you. The key to its business model is the use of algorithms, driven by individual user data, to show you stuff you’re more likely to react to. Wikipedia defines an algorithm as “a set of rules that precisely defines a sequence of operations.” Algorithms appear value neutral, but the platforms’ algorithms are actually designed with a specific value in mind: maximum share of attention, which optimizes profits. They do this by sucking up and analyzing your data, using it to predict what will cause you to react most strongly, and then giving you more of that. Algorithms that maximize attention give an advantage to negative messages. People tend to react more to inputs that land low on the brainstem. Fear and anger produce a lot more engagement and sharing than joy. The result is that the algorithms favor sensational content over substance.”

Kilde: Washington Monthly | How to Fix Facebook—Before It Fixes Us

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