Coping with Algorithmic Risks: How Internet Users Implement Self-Help Strategies to Reduce Risks Related to Algorithmic Selection
Algorithmic selection is omnipresent in various domains of our online everyday lives: it ranks our Wine Openers search results, curates our social media news feeds, or recommends videos to watch and music to listen to.This widespread application of algorithmic selection on the internet can be associated with risks like feeling surveilled (S), feeli