Meta social media platforms told to act on edited visuals, misleading claims amid SIR protests — What Govt advisory says

MeitY asked Meta to review how Facebook and Instagram recommend, rank, and moderate content. The goal is to reduce disproportionate exposure to one narrative and limit material that could create confusion, violence, or public disorder. Meta was also told to add context to images, videos, graphics, and other material about ongoing events.

The advisory highlights old or selectively edited visuals presented as current, unverified claims about emergencies or restrictions, and law-and-order content without context. Meta must strengthen systems for quickly identifying, reviewing, and escalating widely recommended material that may cause harm. It must also ensure content complies with the Information Technology Rules, 2021.

MeitY further asked Meta to cooperate promptly with law-enforcement agencies and authorised government bodies. The company was told to implement measures immediately and inform the ministry about its actions. Any response must still comply with the Information Technology Act, the IT Rules, and other applicable laws.

A Special Intensive Revision, or SIR, is an intensive process for checking and updating electoral rolls. It can involve verifying voter information, correcting entries, adding eligible voters, and removing duplicate, shifted, or otherwise ineligible entries. The article does not describe the exact SIR procedure or the specific objections raised against it.

It reports that protests in Delhi were led by the Cockroach Janta Party and opposition parties. They demanded the resignation of Chief Election Commissioner Gyanesh Kumar over the Special Intensive Revision of electoral rolls. This links the demonstrations directly to disagreement about the voter-list exercise and its administration.

The protests form the background to MeitY’s advisory, although the advisory does not identify a specific incident that prompted it. The article therefore establishes the political setting, but not whether particular voter entries changed or how the SIR was conducted. Those details are not provided in the source.

Edited, old, or out-of-context visuals are real or altered images, videos, graphics, or audio-visual material presented with the wrong time, place, event, or circumstances. An old police video might be labelled as footage from a current protest. A selectively edited clip might remove words or actions that change its meaning.

The key problem is missing context. Viewers may not know when or where material was recorded, whether it was edited, or what happened before and after the shown moment. MeitY specifically asked Meta to pay attention to old, unrelated, or selectively edited visuals presented as current events. It also requested adequate context for material about ongoing public events.

These visuals can make a situation appear more violent, more widespread, or more recently unfolding than it is. If recommendation systems repeatedly promote them, the misleading impression can reach many users. The advisory links such amplification with public confusion, apprehension, and disturbances of public order.

A social-media recommendation system is the software that selects and ranks posts, videos, images, or accounts for a user’s feed, suggestions, or notifications. It is designed to place content likely to attract attention or match a user’s interests. Because users see selected material rather than everything available, ranking strongly shapes what they encounter.

If the system repeatedly recommends posts supporting one interpretation of an event, users may see that narrative more often than competing accounts. Engagement, viewing history, similarity between posts, and previous recommendations can reinforce the pattern. The article reports agency concerns that Meta’s algorithms appeared to favour one kind of content over others.

MeitY asked Meta to review these mechanisms and provide a diversity of relevant and credible information. It also wants misleading, manipulated, or out-of-context material prevented from being disproportionately amplified. The concern is not only an individual post, but the cumulative effect of repeated recommendations across many users.

Repeated recommendations can make an unverified claim seem credible simply because users encounter it many times. During protests or law-and-order situations, claims about police action, emergencies, restrictions, or official measures may influence how people understand events. If those claims are misleading, they can create fear, anger, or mistaken expectations.

For example, an old video could be presented as current police action, while a false post claims that authorities have imposed a restriction. If the platform repeatedly recommends both, users may believe the situation is worsening or that official action is being hidden. The article says such material can contribute to public confusion and apprehension.

Those reactions can spread beyond the original audience. People may share claims, gather, confront others, or respond to an event based on false information. The advisory therefore asks for rapid identification, review, and escalation of widely reaching content that could trigger violence or disturbances of public order.

Algorithmic amplification happens when a platform’s recommendation system distributes a post beyond the people who initially follow or search for its creator. A post can enter suggested feeds, autoplay queues, or other prominent spaces. Each new viewer may then share or react to it, creating further distribution.

The mechanism is repetition and scale. If a misleading protest video receives attention, the system may recommend it to users with related interests or viewing patterns. Those users can expose it to more networks. Meta’s platforms operate at a scale where a recommendation decision can affect many audiences, although the article does not provide a numerical reach figure.

MeitY is concerned about material that gains significant reach through recommendations and could trigger confusion, violence, or public-order disturbances. Its proposed response is faster identification, review, and escalation. This shifts attention from isolated posts to how platform systems repeatedly elevate content across communities.

The Information Technology Rules, 2021 require intermediaries such as Meta to exercise due diligence. They must inform users about prohibited information, including content that could cause public disorder or incite a cognisable offence relating to public order. In this advisory, MeitY connects those duties with recommendation systems, moderation, and cooperation with authorities.

The public-safety purpose is clear: platforms should identify and address material that may mislead people, encourage unlawful activity, or contribute to violence. Meta was asked to review ranking systems, add context to event-related material, escalate dangerous content, and cooperate promptly with authorised bodies. The ministry also required compliance with the Information Technology Act and other laws.

These duties can affect freedom of expression if vague standards lead to excessive removals or downranking. Apar Gupta criticised the advisory as a continuing censorship directive and sought disclosure of takedowns and downranking. The article presents this tension without resolving how Meta should balance safety with lawful expression.