#FactCheck - Edited Video of ‘India-India’ Chants at Republican National Convention

Executive Summary 

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A video is going viral on social media showing a woman performing a pre-wedding ritual called “Roka” for a couple at a metro station. Many users are sharing the clip believing it to be a real incident. CyberPeace found in its research  that the viral claim is false. The video is actually scripted.

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Claim:

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An Instagram user posted the video on February 7, 2026, with the caption, “A mother performed her son’s Roka with his girlfriend at a metro station.”

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• https://www.instagram.com/chauthakhambaofficial/reel/DUdAi90Du9G
• https://perma.cc/22HL-P85L 

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Fact Check:

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To verify the claim, we conducted a reverse image search using Google Lens on screenshots from the viral video. We found the same video was first uploaded on February 5, 2026, by an Instagram account named “chalte_phirte098.” The profile belongs to digital content creator Aarav Mavi, who regularly posts relationship and breakup-related videos.

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Although the viral clip does not include any disclaimer stating that it is scripted, an older video posted by the creator on December 16, 2025, clarifies that his content is based on real-life stories shared by people but is filmed using professional actors. Several similar staged videos are also available on his profile on Instagram.

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Conclusion:

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Our research  clearly shows that the viral video claiming to show a pre-wedding Roka ceremony at a metro station is not real. It was created by a content creator for entertainment purposes. Therefore, the claim circulating on social media is misleading.

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Introduction

In 2019 India got its bill on Data protection in the form of the Personal Data Protection Bill 2019. This bill focused on digital rights and duties pertaining to data privacy. However, the bill was scrapped by the Govt in mid-2022, and a new bill was drafted, Successor bill was introduced as the Digital Personal Data Protection Bill, 2022 on 18th November 2022, which was made open for public comments and consultations and now the bill is expected to be tabled at the parliament in the Monsoon session.

What is DPDP, 2022?

Digital Personal Data Protection Bill, is the lasted draft regulation for data privacy in India. The bill has been essentially focused towards data protection by companies and the keep aspect of Puttaswamy judgement of data privacy as a fundamental right has been upheld under the scope of the bill. The bill comes after nearly 150 recommendations which the parliamentary committee made when the PDP, 2019 was scrapped.

The bill highlights the following keen aspects-

• Data Fiduciary- The entity (an individual, company, firm, state, etc.) which decides the purpose and means of processing an individual’s personal data.
• Data Principle- The individual to whom personal data is related.
• Processing- The entire cycle of operations that can be carried out concerning personal data.
• Gender Neutrality- For the first time in India’s legislative history, “her” and “she” have been used to refer to individuals irrespective of gender.
• Right to Erase Data- Data principals will have the right to demand the erasure and correction of data collected by the data fiduciary.
• Cross-border data transfer- The bill allows cross-border data after an assessment of relevant factors by the Central Government.
• Children’s Rights- The bill guarantees the right to digital privacy under the protection of parents/guardians.
• Heavy Penalties- The bill enforces heavy penalties for non-compliance with the provisions, not exceeding Rs 500 crore.

Data Protection Board

The bill lays down provisions for setting up a Data Protection Board. This board will be an independent body acting solely on the factors of data privacy and protection of the data principles and maintaining compliance by data fiduciaries. The board will be headed by a chairperson of essential and relevant qualifications, and members and various other officials shall assist him/her under the board. The board will serve grievance redressal to the data principles and can conduct investigation, inquiry, proceeding, and pass orders equivalent to a Civil court. The proceeding will be undertaken on the principle of natural justice, and the aggrieved can file an appeal to the High Court of appropriate jurisdiction.

Global Comparison

Many countries have data protection laws that regulate the processing of personal data. Some of the notable examples include:

• European Union: The EU’s General Data Protection Regulation (GDPR) is one of the world’s most comprehensive data protection laws. It regulates public and private entities’ processing of personal data and gives individuals a wide range of rights over their personal data.
• United States: The US has several data protection laws that apply to specific sectors or types of data, such as health data (HIPAA) or financial data (Gramm-Leach-Bliley Act). However, there is no comprehensive federal data protection law in the US.
• Japan: Japan’s Personal Information Protection Act (PIPA) regulates the handling of personal data by private entities and gives individuals certain rights over their personal data.
• Australia: Australia’s Privacy Act 1988 regulates the handling of personal data by public and private entities and gives individuals certain rights over their personal data.
• Brazil: Brazil’s General Data Protection Law (LGPD) regulates the processing of personal data by public and private entities and gives individuals certain rights over their personal data. It also imposes heavy fines and penalties on entities that violate the provisions of the law.

Overall, while there are some similarities in data protection laws across countries, there are also significant differences in scope, applicability, and enforcement. It is important for organisations to understand the data protection laws that apply to their operations and take appropriate steps to comply with these laws.

Parliamentary Asscent

The case of violation of the privacy policy by WhatsApp at the Hon’ble Supreme Court resulted in a significant advocacy for Data privacy as a fundamental right, and it was held that, as suggested otherwise in the privacy policy, Whatsapp was sharing its user’s data with Meta. This massive breach of trust could have led to data mismanagement affecting thousands of Indian users. The Hon’ble Supreme Court has taken due consideration of data privacy and its challenges in India and asked the Govt to table the bill in Parliament. The bill will be tabled for discussion in the monsoon session. The Supreme Court has set up a constitutional bench to check the bill’s scope, extent and applications and provide its judicial oversight.  The constitution bench of Justices KM Joseph, Ajay Rastogi, Aniruddha Bose, Hrishikesh Roy and CT Ravikumar has fixed the matter for hearing in August in order to enforce the potential changes and amendments in the act post the parliamentary discussion.

Conclusion

India is the world’s largest democracy, so the crucial aspects of passing laws and amendments have always been followed by the government and kept under check by the judiciary. The discussion over bills is a crucial part of the democratic process, and bills as important as Digital Personal Data Protection need to be discussed and analysed thoroughly in both houses of Parliament to ensure the govt passes a sustainable and efficient law.

Artificial Intelligence (AI) provides a varied range of services and continues to catch intrigue and experimentation. It has altered how we create and consume content. Specific prompts can now be used to create desired images enhancing experiences of storytelling and even education. However, as this content can influence public perception, its potential to cause misinformation must be noted as well. The realistic nature of the images can make it hard to discern as artificially generated by the untrained eye. As AI operates by analysing the data it was trained on previously to deliver, the lack of contextual knowledge and human biases (while framing prompts) also come into play. The stakes are higher whilst dabbling with subjects such as history, as there is a fine line between the creation of content with the intent of mere entertainment and the spread of misinformation owing to biases and lack of veracity left unchecked. AI-generated images enhance storytelling but can also spread misinformation, especially in historical contexts. For instance, an AI-generated image of London during the Black Death might include inaccurate details, misleading viewers about the past.

The Rise of AI-Generated Historical Images as Entertainment

Recently, generated images and videos of various historical instances along with the point of view of the people present have been floating all over the internet. Some of them include the streets of London during the Black Death in the 1300s in England, the eruption of Mount Vesuvius at Pompeii etc. Hogne and Dan, two creators who operate accounts named POV Lab and Time Traveller POV on TikTok state that they create such videos as they feel that seeing the past through a first-person perspective is an interesting way to bring history back to life while highlighting the cool parts, helping the audience learn something new. Mostly sensationalised for visual impact and storytelling, such content has been called out by historians for inconsistencies with respect to details particular of the time. Presently, artists admit to their creations being inaccurate, reasoning them to be more of an artistic interpretation than fact-checked documentaries. 

It is important to note that AI models may inaccurately depict objects (issues with lateral inversion), people(anatomical implausibilities), or scenes due to "present-ist" bias. As noted by Lauren Tilton, an associate professor of digital humanities at the University of Richmond, many AI models primarily rely on data from the last 15 years, making them prone to modern-day distortions especially when analysing and creating historical content. The idea is to spark interest rather than replace genuine historical facts while it is assumed that engagement with these images and videos is partly a product of the fascination with upcoming AI tools. Apart from this, there are also chatbots like Hello History and Charater.ai which enable simulations of interacting with historical figures that have piqued curiosity.

Although it makes for an interesting perspective, one cannot ignore that our inherent biases play a role in how we perceive the information presented. Dangerous consequences include feeding into conspiracy theories and the erasure of facts as information is geared particularly toward garnering attention and providing entertainment. Furthermore, exposure of such content to an impressionable audience with a lesser attention span increases the gravity of the matter. In such cases, information regarding the sources used for creation becomes an important factor.

Acknowledging the risks posed by AI-generated images and their susceptibility to create misinformation, the Government of Spain has taken a step in regulating the AI content created. It has passed a bill (for regulating AI-Generated content) that mandates the labelling of AI-generated images and failure to do so would warrant massive fines (up to $38 million or 7% of turnover on companies). The idea is to ensure that content creators label their content which would help to spot images that are artificially created from those that are not.

The Way Forward: Navigating AI and Misinformation

While AI-generated images make for exciting possibilities for storytelling and enabling intrigue, their potential to spread misinformation should not be overlooked. To address these challenges, certain measures should be encouraged.

1. Media Literacy and Awareness – In this day and age critical thinking and media literacy among consumers of content is imperative. Awareness, understanding, and access to tools that aid in detecting AI-generated content can prove to be helpful.
2. AI Transparency and Labeling – Implementing regulations similar to Spain’s bill on labelling content could be a guiding crutch for people who have yet to learn to tell apart AI-generated content from others.
3. Ethical AI Development – AI developers must prioritize ethical considerations in training using diverse and historically accurate datasets and sources which would minimise biases.

As AI continues to evolve, balancing innovation with responsibility is essential. By taking proactive measures in the early stages, we can harness AI's potential while safeguarding the integrity and trust of the sources while generating images.

References:

• https://www.npr.org/2023/06/07/1180768459/how-to-identify-ai-generated-deepfake-images
• https://www.nbcnews.com/tech/tech-news/ai-image-misinformation-surged-google-research-finds-rcna154333
• https://www.bbc.com/news/articles/cy87076pdw3o
• https://newskarnataka.com/technology/government-releases-guide-to-help-citizens-identify-ai-generated-images/21052024/
• https://www.technologyreview.com/2023/04/11/1071104/ai-helping-historians-analyze-past/
• https://www.psypost.org/ai-models-struggle-with-expert-level-global-history-knowledge/
• https://www.youtube.com/watch?v=M65IYIWlqes&t=2597s
• https://www.vice.com/en/article/people-are-creating-records-of-fake-historical-events-using-ai/?utm_source=chatgpt.com
• https://www.reuters.com/technology/artificial-intelligence/spain-impose-massive-fines-not-labelling-ai-generated-content-2025-03-11/?utm_source=chatgpt.com
• https://www.theguardian.com/film/2024/sep/13/documentary-ai-guidelines?utm_source=chatgpt.com

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