Algorithmic recommendations prompt new governance questions
Maybe we think of recommendation algorithms as friendly guides, yet they resemble invisible city planners reshaping our digital neighborhoods. We navigate feeds and playlists believing our choices drive them, while curated signals steer attention, commerce, and civic discourse. As we interact, these systems learn—and reinforce—patterns that favor engagement, profit, or specific viewpoints, often without clear …
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