Social media algorithms are designed to keep people scrolling by showing them engaging posts, but the content they promote often contradicts the personal values of the people reading it. Research published in the Proceedings of the National Academy of Sciences reveals that the feed algorithm on the platform prioritizes content that conflicts with users’ explicit beliefs. The researchers suggest this dynamic may be driven by users replying to posts they dislike, a habit that appears to disproportionately affect left-leaning users.
Social media platforms rely on automated ranking systems to curate content for their users. These algorithms select posts from a larger pool of available content, including accounts a person follows, to populate a personalized feed. The primary goal of these systems is to maximize user attention by predicting which posts will generate the most interaction.
Platform designers generally operate on the assumption that interaction indicates preference. If a person likes, shares, or comments on a post, the system registers that action as a signal to show them more of the same. But researchers have raised questions about whether reactive behaviors online actually mirror what people care about in real life.
Sometimes, people interact heavily with content that makes them angry or defensive. If an algorithm simply chases interaction without understanding the context, it risks promoting divisive material while neglecting the core principles people say they hold.
Source: PsyPost — Read the full article on the original site ↗