#FactCheck - Old Bareilly Lathi-Charge Video Falsely Linked to Lucknow Protest

Overview of the Advisory

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On 18 November 2025, the Ministry of Information and Broadcasting (I&B) published an Advisory that addresses all of the private satellite television channels in India. The advisory is one of the critical institutional interventions to the broadcast of sensitive content regarding recent security incidents concerning the blast at the Red Fort on November 10^th, 2025. This advisory came after the Ministry noticed that some news channels have been broadcasting content related to alleged persons involved in Red Fort blasts, justifying their acts of violence, as well as information/video on explosive material. Broadcasting like this at this critical situation may inadvertently encourage or incite violence, disrupt public order, and pose risks to national security. 

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Key Instructions under the Advisory

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The advisory provides certain guidelines to the TV channels to ensure strict compliance with the Programming and Advertising Code under the Cable Television Networks (Regulation) Act, 1995. The television channels are advised to exercise the highest level of discretion and sensitivity possible in reporting on issues involving alleged perpetrators of violence, and especially when reporting on matters involving the justification of acts of violence or providing instructional media on making explosive materials. The fundamental focus is to be very strict in following the Programme and Advertising Code as stipulated in the Cable Television Network Rules. In particular, broadcasters should not make programming that:

• Contain anything obscene, defamatory, deliberately false, or suggestive innuendos and half-truths.
• Likely to encourage or incite violence, contain anything against the maintenance of law and order, or promote an anti-national attitude.
• Contain anything that affects the integrity of the Nation.
• Could aid, abet or promote unlawful activities.

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Responsible Reporting Framework

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The advisory does not constitute outright censorship but instead a self-regulatory system that depends on the discretion and sensitivity of the TV channels focused on differentiating between broadcasting legitimate news and the content that crosses the threshold from information dissemination to incitement. 

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Why This Advisory is Important in a Digital Age

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With the modern media systems, there has been an erosion of the line between the journalism of the traditional broadcasting medium and digital virality. The contents of television are no longer limited to the scheduled programs or cable channels of distribution. The contents of a single news piece, especially that of dramatic or contentious nature, can be ripped off, revised and repackaged on social media networks within minutes of airing- often without the context, editorial discretion or timing indicators.

This effect makes sensitive content have a multiplier effect. The short news item about a suspect justifying violence or containing bombs can be viewed by millions on YouTube, WhatsApp, Twitter/X, Facebook, by spreading organically and being amplified by an algorithm. Studies have shown that misinformation and sensational reporting are much faster to circulate compared to factual corrections- a fact that has been noticed in the recent past during conflicts and crisis cases in India and other parts of the world.

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Vulnerabilities of Information Ecosystems

• The advisory is created in a definite information setting that is characterised by:
• Rapid Viral Mechanism: Content spreads faster than the process of verification. 
• Algorithmic-driven amplification: Platform mechanism boosts emotionally charged content.
• Coordinated amplification networks: Organised groups are there to make these posts, videos viral, to set a narrative for the general public. 
• Deepfake and synthetic media risks: Original broadcasts can be manipulated and reposted with false attribution. 

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Interconnection with Cybersecurity and National Security

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Verified or sensationalised reporting of security incidents poses certain weaknesses:

1. Trust Erosion: Trust is broken when the masses observe broadcasters in the air giving unverified claims or emotional accounts as facts. This is even to security agencies, law enforcement and government institutions themselves. The lack of trust towards the official information gives rise to information gaps, which are occupied by rumours, conspiracy theories, and enemy tales.
2. Cognitive Fragmentation: Misinformation develops multiple versions of the truth among the people. The narratives given to citizens vary according to the sources of the media that they listen to or read. This disintegration complicates organising the collective response of the society an actual security threat because the populations can be organised around misguided stories and not the correct data.
3. Radicalisation Pipeline: People who are interested in finding ideological backgrounds to violent action might get exposed to media-created materials that have been carefully distorted to evidence justifications of terrorism as a valid political or religious stand.

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How Social Instability Is Exploited in Cyber Operations and Influence Campaigns

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Misinformation causes exploitable vulnerability in three phases. 

1. First, conflicting unverified accounts disintegrate the information environment-populations are presented with conflicting versions of events by various media sources. 
2. Second, institutional trust in media and security agencies is shaken by exposure to subsequently rectified false information, resulting in an information vacuum. 
3. Third, in such a distrusted and puzzled setting, the population would be susceptible to organised manipulation by malicious agents.
4. Sensationalised broadcasting gives opponents assets of content, narrative frameworks, and information gaps that they can use to promote destabilisation movements. These mechanisms of exploitation are directly opposed by responsible broadcasting.

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Media Literacy and Audience Responsibility

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Structural Information Vulnerabilities-

A major part of the Indian population is structurally disadvantaged in information access:

• Language barriers: Infrastructure in the field of fact-checking is still highly centralised in English and Hindi, as vernacular-language misinformation goes viral in Tamil, Telugu, Marathi, Punjabi, and others.

• Digital literacy gaps: It is estimated that there are about 40 million people in India who have been trained on digital literacy, but more than 900 million Indians access digital content with different degrees of ability to critically evaluate the content.
• Divides between rural and urban people: Rural citizens and less affluent people experience more difficulty with access to verification tools and media literacy resources.
• Algorithmic capture: social media works to maximise engagement over accuracy, and actively encourages content that is emotionally inflammatory or divisive to its users, according to their history of engagement.

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Conclusion

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The advisory of the Ministry of Information and Broadcasting is an acknowledgment of the fact that media accountability is a part of state security in the information era. It states the principles of responsible reporting without interference in editorial autonomy, a balance that various stakeholders should uphold. Implementation of the advisory needs to be done in concert with broadcasters, platforms, civil society, government and educational institutions. Information integrity cannot be handled by just a single player. Without media literacy resources, citizens are unable to be responsible in their evaluation of information. Without open and fast communication with the media stakeholders, government agencies are unable to combat misinformation. 

The recommendations include collaborative governance, i.e., institutional forms in which media self-regulation, technological protection, user empowerment, and policy frameworks collaborate and do not compete. The successful deployment of measures will decide whether India can continue to have open and free media without compromising on information integrity that is sufficient to provide national security, democratic governance and social stability during the period of high-speed information flow, algorithmic amplification, and information warfare actions.

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References

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https://mib.gov.in/sites/default/files/2025-11/advisory-18.11.2025.pdf

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Executive Summary 

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A video of the Leader of the Opposition in the Lok Sabha and Congress MP Rahul Gandhi is being widely shared on social media. In the clip, Gandhi is seen saying that he does not know what “G Gram G” is. Several users are sharing the video with the claim that Rahul Gandhi insulted Lord Ram. However, CyberPeace research found that the claim is misleading. Rahul Gandhi was not referring to Lord Ram in the video. Instead, he was speaking about a newly introduced law titled Viksit Bharat–G RAM G (VB–G RAM G), which has been brought in to replace the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA). The viral clip has been shared with a false narrative.

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Claim

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On January 22, 2026, an Instagram user apnisarkar2024 shared the video claiming, “Rahul Gandhi once again insulted Shri Ram.” (Link, archive link, and screenshot available above)

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• https://www.instagram.com/reel/DTzeiy0k3l5
• https://perma.cc/J3A3-NGBM?type=standard

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Research

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As part of the Research, we first closely examined the viral video. In the clip, Rahul Gandhi is heard saying: “I don’t know what Gram G is. I don’t even know the name of this new law… what is G Gram G…” At no point in the video does Rahul Gandhi mention Lord Ram or make any comment related to religion. To verify the context, we extracted keyframes from the viral clip and conducted a Google Lens search. This led us to a longer version of the same speech uploaded on the official YouTube channel of the Indian National Congress on January 22, 2026. The viral segment appears after the 39:50-minute mark.

The video is from the National MGNREGA Convention held in New Delhi, where Rahul Gandhi criticised the central government over the replacement of MGNREGA with the new VB–G RAM G law. During his speech, he expressed his opposition to the new legislation and stated that he was unfamiliar with its details. Throughout the address, he did not mention or refer to Lord Ram in any manner.

• https://youtu.be/9cFTuhjsKx4

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Conclusion

Rahul Gandhi’s remarks in the viral video were related to the newly introduced VB–G RAM G law and were part of his criticism of the central government’s policy decisions. He did not insult Lord Ram. The video is being shared on social media with a misleading and false claim.

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Introduction

The fast-paced development of technology and the wider use of social media platforms have led to the rapid dissemination of misinformation with characteristics such as diffusion, fast propagation speed, wide influence, and deep impact through these platforms. Social Media Algorithms and their decisions are often perceived as a black box introduction that makes it impossible for users to understand and recognise how the decision-making process works. 

Social media algorithms may unintentionally promote false narratives that garner more interactions, further reinforcing the misinformation cycle and making it harder to control its spread within vast, interconnected networks. Algorithms judge the content based on the metrics, which is user engagement. It is the prerequisite for algorithms to serve you the best. Hence, algorithms or search engines enlist relevant items you are more likely to enjoy. This process, initially, was created to cut the clutter and provide you with the best information. However, sometimes it results in unknowingly widespread misinformation due to the viral nature of information and user interactions. 

Analysing the Algorithmic Architecture of Misinformation

Social media algorithms, designed to maximize user engagement, can inadvertently promote misinformation due to their tendency to trigger strong emotions, creating echo chambers and filter bubbles. These algorithms prioritize content based on user behaviour, leading to the promotion of emotionally charged misinformation. Additionally, the algorithms prioritize content that has the potential to go viral, which can lead to the spread of false or misleading content faster than corrections or factual content.

Additionally, popular content is amplified by platforms, which spreads it faster by presenting it to more users. Limited fact-checking efforts are particularly difficult since, by the time they are reported or corrected, erroneous claims may have gained widespread acceptance due to delayed responses. Social media algorithms find it difficult to distinguish between real people and organized networks of troll farms or bots that propagate false information. This creates a vicious loop where users are constantly exposed to inaccurate or misleading material, which strengthens their convictions and disseminates erroneous information through networks.

Though algorithms, primarily, aim to enhance user engagement by curating content that aligns with the user's previous behaviour and preferences. Sometimes this process leads to "echo chambers," where individuals are exposed mainly to information that reaffirms their beliefs which existed prior, effectively silencing dissenting voices and opposing viewpoints. This curated experience reduces exposure to diverse opinions and amplifies biased and polarising content, making it arduous for users to discern credible information from misinformation. Algorithms feed into a feedback loop that continuously gathers data from users' activities across digital platforms, including websites, social media, and apps. This data is analysed to optimise user experiences, making platforms more attractive. While this process drives innovation and improves user satisfaction from a business standpoint, it also poses a danger in the context of misinformation. The repetitive reinforcement of user preferences leads to the entrenchment of false beliefs, as users are less likely to encounter fact-checks or corrective information.

Moreover, social networks and their sheer size and complexity today exacerbate the issue. With billions of users participating in online spaces, misinformation spreads rapidly, and attempting to contain it—such as by inspecting messages or URLs for false information—can be computationally challenging and inefficient. The extensive amount of content that is shared daily means that misinformation can be propagated far quicker than it can get fact-checked or debunked.

Understanding how algorithms influence user behaviour is important to tackling misinformation. The personalisation of content, feedback loops, the complexity of network structures, and the role of superspreaders all work together to create a challenging environment where misinformation thrives. Hence, highlighting the importance of countering misinformation through robust measures. 

The Role of Regulations in Curbing Algorithmic Misinformation

The EU's Digital Services Act (DSA) applicable in the EU is one of the regulations that aims to increase the responsibilities of tech companies and ensure that their algorithms do not promote harmful content. These regulatory frameworks play an important role they can be used to establish mechanisms for users to appeal against the algorithmic decisions and ensure that these systems do not disproportionately suppress legitimate voices. Independent oversight and periodic audits can ensure that algorithms are not biased or used maliciously. Self-regulation and Platform regulation are the first steps that can be taken to regulate misinformation. By fostering a more transparent and accountable ecosystem, regulations help mitigate the negative effects of algorithmic misinformation, thereby protecting the integrity of information that is shared online. In the Indian context, the Intermediary Guidelines, 2023, Rule 3(1)(b)(v) explicitly prohibits the dissemination of misinformation on digital platforms. The ‘Intermediaries’ are obliged to ensure reasonable efforts to prevent users from hosting, displaying, uploading, modifying, publishing, transmitting, storing, updating, or sharing any information related to the 11 listed user harms or prohibited content. This rule aims to ensure platforms identify and swiftly remove misinformation, and false or misleading content.

Cyberpeace Outlook

Understanding how algorithms prioritise content will enable users to critically evaluate the information they encounter and recognise potential biases. Such cognitive defenses can empower individuals to question the sources of the information and report misleading content effectively. In the future of algorithms in information moderation, platforms should evolve toward more transparent, user-driven systems where algorithms are optimised not just for engagement but for accuracy and fairness. Incorporating advanced AI moderation tools, coupled with human oversight can improve the detection and reduction of harmful and misleading content. Collaboration between regulatory bodies, tech companies, and users will help shape the algorithms landscape to promote a healthier, more informed digital environment.

References:

• https://www.advancedsciencenews.com/misformation-spreads-like-a-nuclear-reaction-on-the-internet/
• https://www.niemanlab.org/2024/09/want-to-fight-misinformation-teach-people-how-algorithms-work/ 
• Press Release: Press Information Bureau (pib.gov.in) 

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