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India's tech ministry urges Meta to broaden content recommendations amid narrative concerns

The Ministry of Electronics and Information Technology has advised Meta to review its recommendation algorithms to prevent users from being exposed to narrow viewpoints. The advisory comes as public pressure mounts over concerns about algorithmic content curation during sensitive political moments.

LSN India · 19 October 2026

India's tech ministry urges Meta to broaden content recommendations amid narrative concerns

India's Ministry of Electronics and Information Technology (MeitY) has issued a directive to Meta, asking the social media giant to examine how its recommendation systems rank and distribute content to users. The advisory specifically cautions against algorithms that inadvertently limit audiences to a restricted range of narratives, particularly concerning ongoing public events and matters of national interest.

The intervention reflects growing scrutiny over how major technology platforms curate information flows to Indian users. MeitY's guidance requests that Meta enhance transparency around its content-ranking mechanisms and ensure contextual information accompanies posts related to significant public developments.

The advisory was issued amid heightened public discourse, with various groups mounting campaigns calling for institutional accountability. The timing underscores government concerns that algorithmic systems—whether by design or consequence—may concentrate user exposure to particular viewpoints rather than presenting diverse perspectives on contentious issues.

MeitY's move represents an attempt to balance platform autonomy with public interest considerations, asking Meta to undertake internal reviews of how recommendations function. The directive signals that Indian regulators are increasingly focused on the mechanics of content distribution, not merely moderation of individual posts.

The advisory adds to mounting pressure on technology platforms to demonstrate more granular responsibility over algorithmic decision-making, particularly in a country where social media significantly influences public opinion and political discourse.