"Love them or hate them, more than half of the world's population interacts with algorithmic recommendations in some way every day. Algorithmic recommendations play an integral role in how users discover new content across platforms like Facebook, Instagram, TikTok, and YouTube. It can be nice to be fed a stream of fresh posts, pictures, and videos that are already tailored to our interests instead of manually hunting for content to engage with, but algorithms don't always show you what you actually want to see."
"Many online platforms provide features that aim to help you fix this. The algorithms they deploy are, after all, designed to make you spend more time consuming content and work in similar ways. Recommendations may be based on demographic data like age, sex, and location, your online activity, what you and similar users are interacting with, and more. Most algorithm tuning features follow the same basic premise: you tell the platform what you want to see more of, or less of."
More than half the world's population interacts with algorithmic recommendations daily. These recommendations shape content discovery on platforms such as Facebook, Instagram, TikTok, and YouTube. Algorithms tailor streams of posts, pictures, and videos to user interests but can misalign with actual preferences. Recommendation systems use demographic data, online activity, and patterns from similar users to decide what to show. Platforms provide tuning features that let users ask for more or less of specific content. Examples include Meta's "Dear algo" for Threads and Instagram's "Your Algorithm" for Reels. Some content may be artificially promoted regardless of alignment with user interests.
Read at The Verge
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