A new study reveals how social media algorithms may unintentionally amplify divisive content by prioritizing engagement over balanced perspectives. Researchers analyzed how platforms curate feeds, showing that posts sparking strong reactions—whether positive or negative—are more likely to be pushed to users. The findings suggest these systems could deepen polarization by reinforcing existing viewpoints rather than exposing users to diverse opinions. Critics argue this raises concerns about the role of algorithms in shaping public discourse.
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