A new study reveals how a widely used social media algorithm inadvertently amplifies divisive content by prioritizing emotionally charged posts over balanced discussions. Researchers found the platform’s recommendation system favors outrage-driven interactions, which can deepen polarization among users. The findings suggest that even well-intentioned engagement metrics may unintentionally shape public discourse in ways that reward conflict. Critics argue this could erode trust in digital communication while rewarding sensationalism over constructive dialogue.
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