#FactCheck:Viral Video Does Not Show Congress Workers Protesting Against Rahul Gandhi
Executive Summary:
A video circulating on social media shows a group of people tearing Congress posters and raising controversial slogans. The clip is being shared with the claim that the individuals seen in the video are workers of the Congress party who were protesting against Rahul Gandhi and raising slogans against him. However, research by the CyberPeace found the viral claim to be misleading. Our research revealed that the video dates back to February 21, 2026. On that day, members of the Bharatiya Janata Yuva Morcha (BJYM) staged a protest outside a Congress office. During the demonstration, they raised slogans and tore Congress posters. The same video is now being circulated with a false narrative.
Claim
On February 24, 2026, a Facebook user shared the viral video with the caption:“Rebellion against Rahul Gandhi in Congress’ own stronghold! Party workers themselves tore posters and raised slogans — ‘Rahul Gandhi is a thief… a thief!’ This video exposes the internal truth of Congress. Congress itself is Muslim League.”
Fact Check
To verify the claim, we extracted key frames from the viral video and conducted a reverse image search using Google Lens. During the search, we found the same video uploaded on YouTube on February 21, 2026.
According to the description accompanying the video, BJP workers had staged a protest outside a Congress building. The report mentioned vandalism and stone-pelting during the protest, resulting in injuries to several individuals
- https://www.youtube.com/watch?v=pW-13mSvJ2c
Using this lead, we conducted a keyword search on Google and found a report published on February 21, 2026, by the Hindi news website Raj Express. The visuals in the report closely matched those seen in the viral clip.
According to the report, the protest in Bhopal was organized by the Bharatiya Janata Yuva Morcha in response to a T-shirt protest staged by the Youth Congress during an AI Summit held at Bharat Mandapam in New Delhi. The situation escalated when protesters marched toward the state Congress office in Shivaji Nagar. Police attempted to disperse the crowd using water cannons, but some protesters reportedly entered the Congress office premises, leading to tension.
Further, we found the same viral video on the official Facebook page of Indian National Congress - Madhya Pradesh, where it was posted on February 26, 2026. In the post, the Congress unit alleged that BJYM workers and BJP-affiliated individuals had entered the Congress office, vandalized property, and created chaos in the presence of police officials.
Conclusion
Our research found that the viral claim is misleading. The video is from February 21, 2026, when BJYM workers protested outside a Congress office and engaged in vandalism. The footage is now being falsely shared as evidence of an internal rebellion by Congress workers against Rahul Gandhi.
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Introduction
Picture this - you wake up one morning, check your phone, and discover that a fraudster has emptied your bank account overnight. Your first instinct is to call someone, anyone, who can stop the money from vanishing for good. For millions of Indians today, that number is 1930, the national cybercrime helpline. At a high-level review meeting in June 2026, Union Home Minister Amit Shah directed that the helpline undergo a comprehensive revamp, one that brings in artificial intelligence, multilingual support, and a stronger framework for resolving victim grievances. This is not a minor patch. It is a signal that India wants to treat cybercrime response as a serious governance priority rather than an administrative checkbox.
The Evolution of 1930: From a Pilot Number to National Infrastructure
The helpline’s origin lies in 155260 (Old helpline no.), launched in 2020 by the Indian Cyber Crime Coordination Centre (I4C) with the Reserve Bank of India and the banking sector, built specifically to intercept financial fraud before funds could be laundered across accounts. In 2021, it was renamed 1930 to make the number easier for citizens to recall under stress, a small but telling decision: a security architecture only works if people can remember it during a crisis. It was paired with the National Cybercrime Reporting Portal, launched in August 2019 to strengthen reporting and response mechanisms nationwide, which was later expanded to cover all categories of cybercrime after starting out limited to content-related offences. Over five years, state police forces extended 1930 into round-the-clock, multi-line operations and linked it to local cyber cells, turning a central scheme into genuinely federated infrastructure. The numbers now justify that investment: more than ₹7,000 crore has been saved nationally through the Citizen Financial Cyber Fraud Reporting and Management System, while Mumbai alone blocked or recovered nearly ₹202 crore for victims in 2025 through the helpline. What began as a pilot number has become a core node in India’s financial security architecture.
AI and Multilingual Support as a Citizen-Centric Governance Shift
What makes Shah’s directive significant is not the technology itself but the design philosophy it embeds. The instruction to integrate AI and multilingual support is explicitly aimed at removing language barriers and enabling faster, more efficient complaint registration across the country. For a country with no single dominant spoken language, this is not a feature addition; it is a recognition that uniform, English-or-Hindi-first service design has been quietly excluding the citizens most vulnerable to fraud. Multilingual access addresses a long-standing gap by allowing citizens from non-Hindi-speaking states to report cybercrime in their own languages, significantly broadening reach. This marks a shift away from treating digital governance as a one-size-fits-all portal and toward treating it as a service obligation that adapts to the citizen rather than the reverse, a principle with implications well beyond cybercrime reporting.
Routing, Tracking and Escalation: Engineering Accountability into Redressal
The proposed reforms move beyond the front-end call experience into the architecture of follow-through. AI integration is expected to improve call routing, enable faster identification of fraud patterns, and assist real-time coordination between central and state law enforcement agencies. This matters because cyber fraud is intrinsically cross-jurisdictional: a victim in one state is often defrauded through an account opened in another. Shah directed central agencies to work closely with state governments to ensure that every call received on the helpline is followed through to its logical conclusion — language that, in policy terms, is an attempt to convert a complaint-registration system into a complaint-resolution system. Intelligent routing and case tracking, if implemented well, replace ad hoc coordination between states with a traceable escalation mechanism, the missing link that has historically allowed cases to stall after the first call was logged.
Frozen Accounts and the Procedural Burden on Victims
No part of the revamp is more consequential for ordinary victims than the directive on bank account freezes. The problem is compounded when a cybercrime complaint is registered in one state while the frozen account sits in another, leaving legitimate account holders, sometimes innocent third parties, locked out of their own funds for weeks. Shah directed that grievances arising from the freezing of bank accounts linked to financial frauds be addressed promptly, an instruction that responds directly to a problem now before the courts Judicial scrutiny on this exact question is intensifying: the Karnataka High Court recently held that banks cannot freeze an account completely when investigating agencies have directed only a partial freeze limited to a specified amount. A national, technology-backed mechanism for resolving such freezes would convert a recurring source of citizen grievance into a procedural safeguard, addressing one of the most cited failures of the existing system.
Reading the Reforms Within India’s Broader Cyber Resilience Strategy
Positioned within India’s wider digital governance trajectory, the 1930 revamp fits a recognisable pattern: build foundational infrastructure first, then layer intelligence and personalisation onto it once adoption is proven. The same logic shaped Aadhaar, UPI and the Digital India programme more broadly. India has seen a sharp rise in digital financial fraud, investment scams, sextortion and phishing attacks in recent years, and the Ministry of Home Affairs’ response, expanding I4C, building specialised cybercrime units, and now investing in AI-led citizen interfaces, signals that cyber resilience is being treated less as a law-enforcement afterthought and more as a core pillar of financial-system integrity, alongside RBI and NPCI-led safeguards.
Will These Reforms Strengthen Trust?
The credibility of any reform lies in implementation, not announcement. Public commentary on the revamp captures this tension well: citizens have welcomed the intent while noting that earlier promises of coordination did not always translate into resolved cases, and that awareness gaps in rural India persist regardless of how sophisticated the backend becomes The 1930 revamp will be judged not by how quickly complaints are registered, an area where India already performs reasonably, but by how reliably they are closed. If AI-driven routing and a genuine national escalation mechanism reduce the gap between complaint and resolution, particularly on account freezes, the reform will have done more for citizen trust than any awareness campaign could. If implementation falters at the state-bank coordination layer, the technology will simply make an old problem move faster without making it smaller.
Conclusion
The story of 1930 is the story of Indian digital governance maturing in real time: from a hastily assembled fraud helpline to a piece of national financial security infrastructure now being re-engineered for scale, language diversity and accountability. Amit Shah’s directive should be read not as a single announcement but as an acknowledgment that citizen-facing systems must keep pace with the sophistication of the threats they are built to counter. Whether this becomes a genuine trust-building reform or another well-intentioned upgrade depends entirely on what happens after the press statement — in LEA’s call centres, bank back-offices and state coordination desks across the country.
References
- https://www.republicworld.com/india/amit-shah-orders-major-overhaul-of-national-cybercrime-helpline-1930-calls-for-ai-upgrade-2026-06-17-128739
- https://the420.in/amit-shah-national-cybercrime-helpline-revamp/
- https://inc42.com/buzz/home-minister-amit-shah-calls-for-ai-led-revamp-of-national-cybercrime-helpline/
- https://thenewsmill.com/2026/06/amit-shah-directs-ai-upgrade-for-national-cybercrime-helpline-1930/
- https://risingkashmir.com/national/amit-shah-reviews-national-cybercrime-helpline-1930-calls-for-ai-upgrade-12048424
- https://www.newkerala.com/news/a/amit-shah-reviews-national-cybercrime-helpline-1930-calls-929.htm
- https://simple.wikipedia.org/wiki/1930_(Indian_Cybercrime_Helpline)
- https://www.newsonair.gov.in/over-rs-7000-crore-saved-through-citizen-financial-cyber-fraud-reporting-and-management-system
- https://the420.in/mumbai-1930-cyber-helpline-saves-202-crore-2025
Introduction
The Sexual Harassment of minors in cyberspace has become a matter of grave concern that needs to be addressed. Sextortion is the practice of extorting individuals into sharing explicit and sexual content under the threat of exposure. This grim activity has evolved into a pervasive issue on several social media platforms, particularly Instagram. To combat this illicit act, big corporate giants such as Meta have deployed a comprehensive ‘nudity protection’ feature, leveraging the use of AI (Artificial Intelligence) algorithms to ascertain and address the rapid distribution of unsolicited explicit content.
The Meta Initiative presented a multifaceted approach to improve user safety, especially for young people online, who are more vulnerable to predatory behavior.
The Salient Feature
Instagram’s use of advanced AI algorithms to automatically identify and blur out explicit images shared within direct messages is the driving force behind this initiative. This new safety measure serves two essential purposes.
- Preventing dissemination of sensitive content - The feature, when enabled, obstructs the visibility of sensitive personal pictures and also limits dissemination of the same.
- Empower minors to exercise more control over their social media - This cutting feature comes with the ability to disable the nudity protection at the will of users, allowing users, including minors, to regulate their exposure to age-inappropriate and harmful materials online. The nudity protection feature is enabled for all users under 18 as a default setting on Instagram globally. This measure guarantees a baseline standard of security for the most vulnerable demographic of users. Adults are able to exercise more autonomy over the feature, receiving periodic prompts for its voluntary activationWhen this feature detects an explicit image, it automatically blurs the image with cautionary overlay, enabling recipients to make an informed decision about whether or not they wish to view the flagged content. The decision to introduce this feature is an interesting and sensitive approach to balancing individual agency with institutionalising online protection.
Comprehensive Safety Measures Beyond Nudity Detection
The cutting-edge nudity protection feature is a crucial element of Instagram’s new strategy and is supported by a comprehensive set of measures devised to tackle sextortion and ensure a safe cyber environment for its users:
Awareness Drives and Safety Tips - Users sending and receiving sexually explicit content are directed to a screen with curated safety tips to ensure complete user awareness and inspire due diligence. These safety tips are critical in raising awareness about the risks of sharing sensitive content and inculcating responsible online behaviour.
New Technology to Identify Sextortionists - Meta Platforms are constantly evolving, and new sophisticated algorithms are introduced to better detect malicious accounts engaged in possible sextortion. These proactive measures check for any predatory behaviour so that such threats can be neutralised before they escalate and do grave harm.
Superior Reporting and Support Mechanisms - Instagram is implementing new technology to bolster its reporting mechanisms so that users reporting concerns pertaining to nudity, sexual exploitation and threats are instantaneously directed to local child safety authorities for necessary support and assistance.
This new sophisticated approach highlights Instagram's Commitment to forging a safer haven for users by addressing various aspects of this grim issue through the three-pronged strategy of detection, prevention and support.
User’s Safety and Accountability
The implementation of the nudity protection feature and various associated safety measures is Meta’s way of tackling the growing concern about user safety in a more proactive manner, especially when it concerns minors. Instagram’s experience with this feature will likely be the sandbox in which Meta tests its new user protection strategy and refines it before extending it to other platforms like Facebook and WhatsApp.
Critical Reception and Future Outlook
The nudity protection feature has been met with positive feedback from experts and online safety advocates, commending Instagram for taking a proactive stance against sextortion and exploitation. However, critics also emphasise the need for continued innovation, transparency, and accountability to effectively address evolving threats and ensure comprehensive protection for all users.
Conclusion
As digital spaces continue to evolve, Meta Platforms must demonstrate an ongoing commitment to adapting its safety measures and collaborating with relevant stakeholders to stay ahead of emerging challenges. Ongoing investment in advanced technology, user education, and robust support systems will be crucial in maintaining a secure and responsible online environment. Ultimately, Instagram's nudity protection feature represents a significant step forward in the fight against online sexual exploitation and abuse. By leveraging cutting-edge technology, fostering user awareness, and implementing comprehensive safety protocols, Meta Platforms is setting a positive example for other social media platforms to prioritise user safety and combat predatory behaviour in digital spaces.
References
- https://www.nbcnews.com/tech/tech-news/instagram-testing-blurring-nudity-messages-protect-teens-sextortion-rcna147402
- https://techcrunch.com/2024/04/11/meta-will-auto-blur-nudity-in-instagram-dms-in-latest-teen-safety-step/
- https://hypebeast.com/2024/4/instagram-dm-nudity-blurring-feature-teen-safety-info
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Introduction
As AI becomes more deeply integrated into everyday life and industries, Google Cloud is increasing its investment in AI-ready data centres worldwide, with India emerging as a key part of its expansion plans. Thomas Kurian’s latest India visit highlighted Google Cloud’s expanding ambitions in the country. Beyond the $15 billion, 1GW Visakhapatnam data centre announced in October 2025, Google is planning a larger multi-year AI infrastructure push, backed by partnerships with major enterprises across banking, healthcare, and digital services. This reflects a shift where countries are not only competing to create advanced AI technologies but also to build the infrastructure needed to support and lead the future AI economy. But it's worth being precise about what "building infrastructure" actually means here because it is private, foreign-headquartered capital constructing facilities on Indian soil, under terms that remain largely opaque to the public that will depend on them. That distinction matters more than the investment headline suggests.
The Promise and Pressure of Google’s Full-Stack AI Strategy
For decades, data centres were mainly built to store information, host websites, and support cloud applications. The rise of generative AI has completely changed that role. Today's systems need massive computing power both to train models on huge datasets and to run them every time someone generates content or automates a task. It is distinguished from traditional workloads mainly due to relying on proprietary technologies like GPU or TPU, alongside advanced networking and dynamic storage systems that complement each other and work in unison. The efforts of Google to create its own TPUs are understandable as they played a vital role in a number of achievements made by Google DeepMind. Today, the companies, government entities, and people turning to AI solutions put enormous pressure on the processing of data.
The companies that are building this infrastructure are shaping ecosystems on which others will depend on. Google’s “full stack” approach that infers controlling everything from chips and AI models to cloud platforms and applications which may improve efficiency and reduce costs, but it also creates deeper dependence on a single provider. Like a hospital adopting an AI platform is not just purchasing software; over time, its data systems, workflows, and operations can become closely tied to the underlying cloud ecosystem.
This concern when viewed against the concentration of the global cloud market: Amazon Web Services, Microsoft Azure, and Google Cloud together control roughly two-thirds of global cloud infrastructure, making them the dominant gatekeepers of enterprise computing. As these same companies move upward into AI models and applications while controlling the compute layer beneath them, the debate is no longer only about market share, it is about control over the entire AI value chain.
Why Location Matters and Why It Isn't Enough
In traditional internet services, a delay of a few milliseconds rarely mattered. However, future AI applications like autonomous vehicles, AI-assisted diagnostics, automated factory robotics will demand near-instant decision-making and cannot always depend on servers thousands of kilometres away. Regional data centres reduce that latency, which matters especially for India, where hundreds of millions are expected to interact with AI-powered services in the coming years. There is also the question of data sovereignty, and this is where the infrastructure narrative gets ahead of the regulatory reality. Governments worldwide are increasingly concerned about where citizens' and companies' data is stored and processed and local data centres are presented as the answer, but physical proximity does not automatically translate into legal accountability. Google has acknowledged that it bills cloud revenue through whichever global entity corresponds to the data centre being accessed which means an Indian client's spending on Google Cloud infrastructure inside India may still not be booked, taxed, or contractually governed as an Indian transaction. Google Cloud India Pvt. Ltd reported just ₹2,065.4 crore in FY25 revenue, strikingly disconnected from the scale of a $15 billion facility and its roster of major Indian clients. Servers on Indian soil do not by themselves guarantee that India captures the tax base, the leverage, or the oversight that "data sovereignty" implies.
This gap is widened by where India's own data protection framework stands. The Digital Personal Data Protection (DPDP) Act, 2023 leaves retention periods and purpose limitation loosely specified under Sections 8(7) and 12, and its enforcement rules are still being finalised. When hospitals or banks process data through a foundation-model platform like Gemini Enterprise, questions like where processing occurs and what audit trail exists for cross-border flows are not resolved by a local data centre's presence. At present, they rely mostly on vendor assurance rather than independent verification.
Economic Opportunities: More Than Just Servers
AI data centres are often imagined as buildings filled with computers, but their economic impact extends further, into energy systems, construction, engineering, semiconductor supply chains, and skilled technical work. Countries hosting these facilities can benefit from investment and job creation, while local businesses gain access to AI tools without building expensive infrastructure of their own.
For India, expanded AI infrastructure could support ambitions to become a global technology hub, and could narrow the gap in access to high-performance computing that has historically disadvantaged smaller companies and researchers. That potential is real. But it should be weighed against the terms on which it arrives, whether the economic value generated is captured domestically through tax revenue and enforceable local accountability, or whether India functions primarily as a hosting site while value accrues elsewhere. The current revenue-booking structure suggests the latter is, at minimum, a live risk rather than a settled question.
The Environmental Challenge of AI Expansion
However, what remains less discussed is the environmental cost behind this expansion from its impact on the power grid and water required for cooling to clearing use of renewable energy. A 1GW facility, the scale for the Visakhapatnam project is comparable to the output of a mid-sized power plant dedicated entirely to compute demand. As models grow larger and adoption accelerates, this level of energy and water consumption has become one of the central concerns of the global AI infra. As much attention as the investment figures receive, the sustainability issue behind such large-scale infrastructure deserves equal visibility.
The Future: AI Infrastructure as National Infrastructure
The expansion of Google Cloud's AI data centres show a change in how the world views computing. Data centres are no longer invisible facilities operating in the background; they are becoming strategic infrastructure comparable to power grids and telecom networks. That comparison should prompt that infrastructure this consequential is usually made subject to public oversight, licensing conditions, and accountability mechanisms proportionate to its importance which is missing so far. Google Cloud's investment and the compute capacity it brings will lower barriers for Indian enterprises and researchers who have long lacked access to frontier-scale infrastructure. Against this backdrop, India needs to develop the regulatory, tax, and competition frameworks to ensure that the foundation serves the country hosting it, rather than the company that owns it.
Beyond Compute: The Emerging Question of AI Sovereignty
The next phase of the AI race may not be defined only by who builds the most capable models, but by who governs the infrastructure, standards, and decision making systems that those models depend upon. As advances in artificial general intelligence and discussions around superintelligence move from research laboratories into policy circles, control over compute resources is becoming a matter of strategic importance comparable to control over energy reserves or communication networks. Nations that rely entirely on external providers for advanced AI infrastructure may eventually find themselves dependent not merely for technology services, but for economic productivity, public administration, healthcare delivery, and national security capabilities. For India, the challenge is therefore larger than attracting investment. It is about ensuring meaningful domestic participation in ownership, governance, talent development, and oversight so that the intelligence systems shaping the future remain aligned with national priorities and public interest.
References
