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Government Presses Meta to Curb Algorithmic Bias in Content Feeds

Government Presses Meta to Curb Algorithmic Bias in Content Feeds

The Ministry of Electronics and Information Technology has formally asked Meta to examine whether its recommendation algorithms on Facebook and Instagram are skewing what Indian users see during moments of civic unrest. In an advisory dated October 10, the ministry said the platforms' ranking systems must not funnel users toward a narrow set of narratives and must do more to flag content capable of inciting violence or disrupting public order.

What triggered the scrutiny

The advisory does not name a specific episode, but it lands against the backdrop of protests in Delhi led by the Cockroach Janta Party and opposition groups demanding the resignation of Chief Election Commissioner Gyanesh Kumar over the Special Intensive Revision of electoral rolls. According to sources within the ministry who spoke to PTI, government agencies had flagged a pattern in which Meta's algorithms appeared to amplify certain kinds of content relating to ongoing public events while giving others comparatively little visibility. The concern, officials say, centres on how automated ranking can inadvertently concentrate attention on a single interpretation of unfolding events, leaving users with an incomplete or distorted picture.

How recommendation systems work - and where they go wrong

Modern social platforms do not show users content in chronological order. Instead, machine-learning models rank posts by predicted engagement, prioritising material likely to generate clicks, shares, or extended viewing time. This design has a well-documented side effect: content that provokes strong emotional reactions, including fear, outrage or alarm, tends to outperform calmer or more nuanced posts, regardless of accuracy. During volatile public events, this dynamic can push old footage, selectively edited clips, or unverified claims about police action and emergencies to the top of a user's feed, often stripped of the context needed to judge their authenticity.

MeitY's advisory specifically calls out this risk, asking Meta to attach clearer context to photographs, videos and graphics depicting live events, particularly where their date, location or authenticity is not obvious. It also asks the company to build stronger internal mechanisms to identify and escalate content that gains outsized reach through recommendation systems and carries the potential to trigger confusion or unrest.

Legal footing and the question of enforceability

The ministry has grounded its request in the Information Technology Act, 2000, and the IT Rules, 2021, which require intermediaries to exercise due diligence and to inform users about categories of prohibited content, including material likely to incite a cognisable offence against public order. Meta has been asked to act "with immediate effect" and report back on the steps taken, including cooperating with law enforcement within the timelines the rules prescribe.

Digital rights advocates have pushed back on the advisory's legal weight. Apar Gupta, founder-director of the Internet Freedom Foundation, described it as a "continuing censorship directive" that is not tied to any specific statutory provision, noting that phrases such as content presented "without adequate context" or periods of "heightened public-order sensitivity" are not defined anywhere in the IT Act or its rules. He has called on the ministry to withdraw the advisory and urged Meta to publish details of any takedowns or downranking carried out in response to it.

The broader stakes

  • Advisories of this kind are not legally binding orders, but platforms often comply to avoid regulatory friction or the risk of losing safe-harbour protections under the IT Rules.
  • The episode highlights a recurring tension: the same recommendation engines designed to keep users engaged can also concentrate exposure to misleading or incendiary material during sensitive political moments.
  • Oversight of algorithmic amplification remains largely opaque, since platforms rarely disclose how ranking decisions are made or audited.

The dispute reflects a wider global debate over who should decide what counts as harmful amplification, and on what legal basis. As India's electoral and political landscape grows more contentious, the pressure on platforms to referee the line between lawful expression and public-order risk is unlikely to ease.