#FactCheck: Old Nepal Gen-Z Protest Video Falsely Linked to ‘Hindu Nation’ Demonstrations

Introduction

Deepfakes are artificial intelligence (AI) technology that employs deep learning to generate realistic-looking but phoney films or images. Algorithms use large volumes of data to analyse and discover patterns in order to provide compelling and realistic results. Deepfakes use this technology to modify movies or photos to make them appear as if they involve events or persons that never happened or existed.The procedure begins with gathering large volumes of visual and auditory data about the target individual, which is usually obtained from publicly accessible sources such as social media or public appearances. This data is then utilised for training a deep-learning model to resemble the target of deep fakes.

Recent Cases of Deepfakes-‍

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In an unusual turn of events, a man from northern China became the victim of a sophisticated deep fake technology. This incident has heightened concerns about using artificial intelligence (AI) tools to aid financial crimes, putting authorities and the general public on high alert.
During a video conversation, a scammer successfully impersonated the victim’s close friend using AI-powered face-swapping technology. The scammer duped the unwary victim into transferring 4.3 million yuan (nearly Rs 5 crore). The fraud occurred in Baotou, China.

AI ‘deep fakes’ of innocent images fuel spike in sextortion scams
Artificial intelligence-generated “deepfakes” are fuelling sextortion frauds like a dry brush in a raging wildfire. According to the FBI, the number of nationally reported sextortion instances came to 322% between February 2022 and February 2023, with a notable spike since April due to AI-doctored photographs. And as per the FBI, innocent photographs or videos posted on social media or sent in communications can be distorted into sexually explicit, AI-generated visuals that are “true-to-life” and practically hard to distinguish. According to the FBI, predators often located in other countries use doctored AI photographs against juveniles to compel money from them or their families or to obtain actual sexually graphic images.

Deepfake Applications

• Lensa AI.
• Deepfakes Web.
• Reface.
• MyHeritage.
• DeepFaceLab.
• Deep Art.
• Face Swap Live.
• FaceApp.

Deepfake examples

There are numerous high-profile Deepfake examples available. Deepfake films include one released by actor Jordan Peele, who used actual footage of Barack Obama and his own imitation of Obama to convey a warning about Deepfake videos.
A video shows Facebook CEO Mark Zuckerberg discussing how Facebook ‘controls the future’ with stolen user data, most notably on Instagram. The original video is from a speech he delivered on Russian election meddling; only 21 seconds of that address were used to create the new version. However, the vocal impersonation fell short of Jordan Peele’s Obama and revealed the truth.

The dark side of AI-Generated Misinformation

• Misinformation generated by AI-generated the truth, making it difficult to distinguish fact from fiction.
• People can unmask AI content by looking for discrepancies and lacking the human touch.
• AI content detection technologies can detect and neutralise disinformation, preventing it from spreading.

Safeguards against Deepfakes-

Technology is not the only way to guard against Deepfake videos. Good fundamental security methods are incredibly effective for combating Deepfake.For example, incorporating automatic checks into any mechanism for disbursing payments might have prevented numerous Deepfake and related frauds. You might also:

• Regular backups safeguard your data from ransomware and allow you to restore damaged data.
• Using different, strong passwords for different accounts ensures that just because one network or service has been compromised, it does not imply that others have been compromised as well. You do not want someone to be able to access your other accounts if they get into your Facebook account.
• To secure your home network, laptop, and smartphone against cyber dangers, use a good security package such as Kaspersky Total Security. This bundle includes anti-virus software, a VPN to prevent compromised Wi-Fi connections, and webcam security.

What is the future of Deepfake –

Deepfake is constantly growing. Deepfake films were easy to spot two years ago because of the clumsy movement and the fact that the simulated figure never looked to blink. However, the most recent generation of bogus videos has evolved and adapted.
There are currently approximately 15,000 Deepfake videos available online. Some are just for fun, while others attempt to sway your opinion. But now that it only takes a day or two to make a new Deepfake, that number could rise rapidly.

Conclusion-

The distinction between authentic and fake content will undoubtedly become more challenging to identify as technology advances. As a result, experts feel it should not be up to individuals to discover deep fakes in the wild. “The responsibility should be on the developers, toolmakers, and tech companies to create invisible watermarks and signal what the source of that image is,” they stated. Several startups are also working on approaches for detecting deep fakes.

The global race for Artificial Intelligence is heating up, and India has become one of its most important battlegrounds. Over the past few months, tech giants like OpenAI (ChatGPT), Google (Gemini), X (Grok), Meta (Llama), and Perplexity AI have stepped up their presence in the country,  not by selling their AI tools, but by offering them free or at deep discounts.

At first, it feels like a huge win for India’s digital generation. Students, professionals, and entrepreneurs today can tap into some of the world’s most powerful AI tools without paying a rupee. It feels like a digital revolution unfolding in real time. Yet, beneath this generosity lies a more complicated truth. Experts caution that this wave of “free” AI access isn’t without strings attached. This offering impacts how India handles data privacy, the fairness of competition, and the pace of the development of homegrown AI innovation that the country is focusing on. 

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The Market Strategy: Free Now, Pay Later  

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The choice of global AI companies to offer free access in India is a calculated business strategy. With one of the world’s largest and fastest-growing digital populations, India is a market no tech giant wants to miss. By giving away their AI tools for free, these firms are playing a long game:

1. Securing market share early: Flooding the market with free access helps them quickly attract millions of users before Indian startups have a chance to catch up. Recent examples are Perplexity, ChatGPT Go and Gemini AI which are offering free subscriptions to Indian users. 
2. Gathering local data: Every interaction, every prompt, question, or language pattern, helps these models learn from larger datasets to improve their product offerings in India and the rest of the world. Nothing is free in the world - as the popular saying goes, “if something is free, means you are the product. The same goes for these AI platforms: they monetise user data by analysing chats and their behaviour to refine their model and build paid products. This creates the privacy risk as India currently lacks specific laws to govern how such data is stored, processed or used for AI training. 
3. Create user dependency: Once users grow accustomed to the quality and convenience of these global models, shifting to Indian alternatives,  even when they become paid, will be difficult. This approach mirrors the “freemium” model used in other tech sectors, where users are first attracted through free access and later monetised through subscriptions or premium features, raising ethical concerns.  

Impact on Indian Users

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For most Indians, the short-term impact of free AI access feels overwhelmingly positive. Tools like ChatGPT and Gemini are breaking down barriers by democratising knowledge and making advanced technology available to everyone, from students, professionals, to small businesses.  It’s changing how people learn, think and do - all without spending a single rupee.But the long-term picture isn’t quite as simple. Beneath the convenience lies a set of growing concerns:

• Data privacy risks: Many users don’t realise that their chats, prompts, or queries might be stored and used to train global AI models. Without strong data protection laws in action, sensitive Indian data could easily find its way into foreign systems.
• Overdependence on foreign technology: Once these AI tools become part of people’s daily lives, moving away from them gets harder — especially if free access later turns into paid plans or comes with restrictive conditions.
• Language and cultural bias: Most large AI models are still built mainly around English and Western data. Without enough Indian language content and cultural representation, the technology risks overlooking the very diversity that defines India

Impact on India’s AI Ecosystem  

India’s Generative AI market, valued at USD $ 1.30 billion in 2024, is projected to reach 5.40 billion by 2033. Yet, this growth story may become uneven if global players dominate early.  

Domestic AI startups face multiple hurdles — limited funding, high compute costs, and difficulty in accessing large, diverse datasets. The arrival of free, GPT-4-level models sharpens these challenges by raising user expectations and increasing customer acquisition costs.  

As AI analyst Kashyap Kompella notes, “If users can access GPT-4-level quality at zero cost, their incentive to try local models that still need refinement will be low.” This could stifle innovation at home, resulting in a shallow domestic AI ecosystem where India consumes global technology but contributes little to its creation.  

CCI’s Intervention: Guarding Fair Competition  

The Competition Commission of India (CCI) has started taking note of how global AI companies are shaping India’s digital market. In a recent report, it cautioned that AI-driven pricing strategies such as offering free or heavily subsidised access could distort healthy competition and create an uneven playing field for smaller Indian developers.

The CCI’s decision to step in is both timely and necessary. Without proper oversight, such tactics could gradually push homegrown AI startups to the sidelines and allow a few foreign tech giants to gain disproportionate influence over India’s emerging AI economy.  

 What the Indian Government Should Do  

To ensure India’s AI landscape remains competitive, inclusive, and innovation-driven, the government must adopt a balanced strategy that safeguards users while empowering local developers.  

 1. Promote Fair Competition  

The government should mandate transparency in free access offers, including their duration, renewal terms, and data-use policies.  Exclusivity deals between foreign AI firms and telecom or device companies must be closely monitored to prevent monopolistic practices.  

 2. Strengthen Data Protection 

Under the Digital Personal Data Protection (DPDP) Act, companies should be required to obtain explicit consent from users before using data for model training.  Encourage data localisation, ensuring that sensitive Indian data remains stored within India’s borders.  

3. Support Domestic AI Innovation  

Accelerate the implementation of the IndiaAI Mission to provide public compute infrastructure, open datasets, and research funding to local AI developers like  Sarvam AI, an Indian company chosen by the government to build the country's first homegrown large language model (LLM) under IndianAI Mission. 

4. Create an Open AI Ecosystem

India should develop national AI benchmarks to evaluate all models, foreign or domestic, on performance, fairness, and linguistic diversity. And at the same time, they have their own national data Centre to train their indigenous  AI models. 

5. Encourage Responsible Global Collaboration

Speaking at the AI Action Summit 2025, the Prime Minister highlighted that governance should go beyond managing risks and should also promote innovation for the global good. Building on this idea, India should encourage global AI companies to invest meaningfully in the country’s ecosystem through research labs, data centres, and AI education programmes. Such collaborations will ensure that these partnerships not only expand markets but also create value, jobs and knowledge within India.

Conclusion

The surge of free AI access across India represents a defining moment in the nation’s digital journey. On one hand, it’s empowering millions of people and accelerating AI awareness like never before. On the other hand, it poses serious challenges from over-reliance on foreign platforms to potential risks around data privacy and the slow growth of local innovation. India’s real test will be finding the right balance between access and autonomy, allowing global AI leaders to innovate and operate here, but within a framework that protects the interests of Indian users, startups, and data ecosystems. With strong and timely action under the Digital Personal Data Protection (DPDP) Act, the IndiaAI Mission, and the Competition Commission of India’s (CCI) active oversight, India can make sure this AI revolution isn’t just something that happens to the country, but for it. 

References

1. https://www.moneycontrol.com/artificial-intelligence/cci-study-flags-steep-barriers-for-indian-ai-startups-calls-for-open-data-and-compute-access-to-level-playing-field-article-13600606.html# 
2. https://www.imarcgroup.com/india-generative-ai-market 
3. https://www.mea.gov.in/Speeches-Statements.htm?dtl/39020/Opening_Address_by_Prime_Minister_Shri_Narendra_Modi_at_the_AI_Action_Summit_Paris_February_11_2025 
4. https://m.economictimes.com/tech/artificial-intelligence/nasscom-planning-local-benchmarks-for-indic-ai-models/articleshow/124218208.cms 
5. https://indianexpress.com/article/business/centre-selects-start-up-sarvam-to-build-country-first-homegrown-ai-model-9967243/# 

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Executive Summary

An image showing Prime Minister Narendra Modi and Leader of Opposition in the Lok Sabha and Congress MP Rahul Gandhi standing face to face inside Parliament is going viral on social media. Several users are sharing the image claiming that the photograph was taken during the ongoing Budget Session, suggesting a direct face-off between the two leaders inside Parliament. However, research conducted by the CyberPeacehas found that the viral claim is false. The image in question is not real but has been generated using Artificial Intelligence (AI). The AI-generated image is now being shared on social media with a misleading claim.

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Claim

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A Facebook user named Madhu Davi shared the viral image on January 30, 2026, with the caption: “If this photo is from today and the Budget Session, it is commendable. RAGA Zindabad.”

(Archived version of the post available here.)

• https://www.facebook.com/photo/?fbid=759145877237871&set=a.110639115421887 
• https://perma.cc/N2XD-TZ32?type=image 
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Fact Check: 

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To verify the viral claim, we first conducted a keyword search on Google to check whether any credible media outlet had reported such an incident during the Budget Session. However, no news reports supporting the claim were found. We then performed a reverse image search using Google Lens, but this too did not yield any reliable media reports or evidence confirming the authenticity of the image. This raised suspicion that the image might be AI-generated. To further verify, the image was analysed using the AI detection tool Hive Moderation. The tool indicated a probability of over 99 per cent that the image was generated using Artificial Intelligence.

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Conclusion

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CyberPeace research confirms that the image being circulated with the claim that Prime Minister Narendra Modi and Rahul Gandhi came face to face during the Budget Session is fake. The viral image has been created using AI and is being shared with a false and misleading narrative.

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