People are increasingly interacting with others in social media environments where algorithms control the flow of social information they see. Algorithms determine in part which messages, which people and which ideas social media users see.
But what happens when PRIME information becomes amplified by algorithms and some people exploit algorithm amplification to promote themselves? Prestige becomes a poor signal of success because people can fake prestige on social media. Newsfeeds become oversaturated with negative and moral information so that there is conflict rather than cooperation.
The interaction of human psychology and algorithm amplification leads to dysfunction because social learning supports cooperation and problem-solving, but social media algorithms are designed to increase engagement. We call this mismatchOne of the key outcomes of functional misalignment in algorithm-mediated social learning is that people start to form incorrect perceptions of their social world.
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