#FactCheck - AI-Generated Clip of Lion Carrying Woman Shared as Real Incident
Executive Summary
A video circulating on social media shows a lion carrying away a woman who was washing clothes near a pond. Users are sharing the clip claiming it depicts a real incident. However, research by CyberPeace found the viral claim to be false. The research revealed that the video is not real but AI-generated.
Claim
A user on Facebook shared the viral video claiming that a lion attacked and carried away a woman from a pond while she was washing clothes. The link to the post and its archived version are provided below

Fact Check:
Upon closely examining the viral clip, we noticed several visual inconsistencies that raised suspicion about its authenticity. The video was then analyzed using the AI-detection tool Sightengine. According to the analysis results, the viral video was identified as AI-generated.

Conclusion
The research confirms that the viral video does not depict a real incident. The clip is digitally created using artificial intelligence and is being falsely shared as a genuine event.
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India’s cities are rapidly embracing digital technologies, transforming the way essential urban services operate. From traffic management and water supply to online grievance redressal, connected systems are making city life more efficient. As the Prime Minister has emphasised, smart cities are not just a fancy concept; they aim to ensure basic services, including housing and infrastructure for the urban poor, are delivered comprehensively and equitably.
But improved cybersecurity has become essential with th increasing reliance on digital systems in daily life. A single breach in digital public systems could jeopardise citizen data and interrupt vital services. In light of this, MoHUA organised the National Conference on Making Cities Cyber Secure in collaboration with MHA and MeitY. This is in spirit with the goal of Digital India, which is to create a safer online environment for all. More than 300 representatives from Central Ministries, National Cybersecurity Agencies, State Governments, State IT and Urban Development Secretaries, Additional Director Generals, Municipal Commissioners, CEOs of Smart Cities, and representatives from organisations like CERT-In, NCIIPC, I4C, and STQC attended the conference.
Key Initiatives Presented
MoHUA showcased a series of city-level cybersecurity initiatives designed to create a common framework for all smart cities. These include:
- Mandatory appointment of Chief Information Security Officers (CISOs) at city level which maintain and oversee the security of digital infrastructure in smart cites
- Completion of regular cybersecurity audits to identify and address vulnerabilities in there seem
- Consistent Risk Management Across Services: A structured approach to risk management will be used so that critical areas like traffic systems, utilities and public services all follow the same high standards of protection.
CISOs and Cybersecurity Frameworks
At the conference, the Union Home Secretary underscored a clear message: every city needs its own Chief Information Security Officer (CISO) backed by a capable technical team. This isn’t just a box-ticking exercise. A dedicated CISO brings focus to meeting national security norms, coordinating quick responses to cyber incidents, and lifting the overall level of cyber hygiene in the city.
Naming a single officer also creates accountability and gradually builds local expertise instead of constant dependence on outside consultants. Over time, this leadership position can help cities develop their own in-house capacity to manage the increasingly complex digital systems that keep public services running.
The SPV Dimension: Beyond Implementation
An important theme of the conference was the future of Special Purpose Vehicles (SPVs)(SPVs means government-backed companies set up under the Companies Act, 2013 with joint shareholding between State/UT administrations and Urban Local Bodies to implement the Smart Cities Mission) which have been the implementing arms of the Smart Cities Mission. Drawing from Advisory No. 27 (June 2025), stakeholders discussed repositioning SPVs as dynamic, innovation-driven bodies capable of supporting long-term urban development beyond the initial project phase.
Key points included:
- Expanding SPVs’ role in consultancy, investment facilitation, technology integration, and policy research.
- Ensuring SPVs act as hubs of expertise and innovation, rather than just project managers.
- Aligning SPV functions with the evolving cybersecurity and technology needs of urban local bodies.
This expanded mandate could allow SPVs to become sustainable institutions that continuously support cities in managing digital risks and adopting new technologies responsibly.
Building a Culture of Cyber Preparedness
One clear takeaway from the conference was that cybersecurity can’t just be added on later — it needs to be part of every step in the digital planning process, from purchasing technology and designing systems to daily operations. Experts from the Intelligence Bureau (IB) pointed out that as more government services go online, the potential risks grow, and cities must always be ready to respond. They highlighted emerging cyber risks linked to the rapid digitisation of governance.
Some of the practical steps highlighted included regular security audits, penetration testing, staff training, and campaigns to raise awareness among citizens. Equally important to have CISO which lead cybersecurity and creating strong communication channels between city teams, state agencies, and national cybersecurity bodies, so that information is shared promptly and responses can be coordinated effectively
Conclusion
The Ministry of Home Affairs’ directive on strengthening cybersecurity in smart cities represents a major milestone in safeguarding India’s urban digital infrastructure and shows the government's proactive step in cybersecurity . By mandating the appointment of Chief Information Security Officers (CISOs), enforcing regular audits, and promoting structured risk management, the MHA has set clear expectations for city administration. The conference also highlighted the evolving role of Special Purpose Vehicles (SPVs) in supporting long-term technological resilience. Embedding cybersecurity at every stage of planning, from system design to daily operations, signals a shift toward a culture of proactive defence. As highlighted by the Intelligence Bureau, emerging cyber risks linked to the rapid digitisation of governance make robust cybersecurity measures the need of the hour for India’s smart cities.
- https://www.pib.gov.in/PressReleasePage.aspx?PRID=2146180
- https://www.pib.gov.in/PressReleasePage.aspx?PRID=2135474
- https://m.economictimes.com/news/economy/infrastructure/pm-narendra-modi-launches-smart-city-projects/articleshow/52916581.cms
- https://the420.in/mha-orders-stronger-cybersecurity-in-smart-cities/
- https://www.newindianexpress.com/nation/2025/Sep/20/tighten-cyber-security-measures-in-smart-cities-mha-to-housing-ministry

Executive Summary
A video circulating on social media claims that a Jaguar fighter jet of the Indian Air Force (IAF) failed to land during a takeoff and landing exercise held on April 22, 2026, at the Purvanchal Expressway in Uttar Pradesh. The claim suggests that the incident disrupted preparations for “Operation Sindoor.” However, an research by the CyberPeace Research Wing has found the claim to be false.
Claim
The video was shared by a Facebook user, ‘Meera MJ,’ alleging that the Jaguar aircraft could not land during the exercise conducted near Sultanpur. To verify the authenticity of the video, multiple keyframes were extracted and analyzed using reverse image search tools. This led to the original footage shared by ANI on its official X (formerly Twitter) handle on April 22, 2026. The authentic video of the air show does not show any such incident of a failed landing.

Fact Check
A detailed review of ANI’s social media posts also revealed no evidence supporting the viral claim. This strongly indicates that the circulating clip has been digitally manipulated by altering the original footage.

Further corroboration came from a report published by Bhaskar.com, which extensively covered the air show. According to the report, the event featured successful operations by multiple aircraft, including the C-295 transport aircraft landing on the expressway airstrip, followed by Jaguar jets taking off. Sukhoi and Mirage fighter jets also performed takeoff and landing drills, while M17 helicopters carried out commando mock operations. Additionally, the M32 Bhishma aircraft conducted ‘touch and go’

Conclusion:
The viral claim that a Jaguar fighter jet failed to land during the Indian Air Force drill is baseless. The video being circulated is digitally manipulated and does not reflect any real incident.

Introduction
The use of digital information and communication technologies for healthcare access has been on the rise in recent times. Mental health care is increasingly being provided through online platforms by remote practitioners, and even by AI-powered chatbots, which use natural language processing (NLP) and machine learning (ML) processes to simulate conversations between the platform and a user. Thus, AI chatbots can provide mental health support from the comfort of the home, at any time of the day, via a mobile phone. While this has great potential to enhance the mental health care ecosystem, such chatbots can present technical and ethical challenges as well.
Background
According to the WHO’s World Mental Health Report of 2022, every 1 in 8 people globally is estimated to be suffering from some form of mental health disorder. The need for mental health services worldwide is high but the supply of a care ecosystem is inadequate both in terms of availability and quality. In India, it is estimated that there are only 0.75 psychiatrists per 100,000 patients and only 30% of the mental health patients get help. Considering the slow thawing of social stigma regarding mental health, especially among younger demographics and support services being confined to urban Indian centres, the demand for a telehealth market is only projected to grow. This paves the way for, among other tools, AI-powered chatbots to fill the gap in providing quick, relatively inexpensive, and easy access to mental health counseling services.
Challenges
Users who seek mental health support are already vulnerable, and AI-induced oversight can exacerbate distress due to some of the following reasons:
- Inaccuracy: Apart from AI’s tendency to hallucinate data, chatbots may simply provide incorrect or harmful advice since they may be trained on data that is not representative of the specific physiological and psychological propensities of various demographics.
- Non-Contextual Learning: The efficacy of mental health counseling often relies on rapport-building between the service provider and client, relying on circumstantial and contextual factors. Machine learning models may struggle with understanding interpersonal or social cues, making their responses over-generalised.
- Reinforcement of Unhelpful Behaviors: In some cases, AI chatbots, if poorly designed, have the potential to reinforce unhealthy thought patterns. This is especially true for complex conditions such as OCD, treatment for which requires highly specific therapeutic interventions.
- False Reassurance: Relying solely on chatbots for counseling may create a partial sense of safety, thereby discouraging users from approaching professional mental health support services. This could reinforce unhelpful behaviours and exacerbate the condition.
- Sensitive Data Vulnerabilities: Health data is sensitive personal information. Chatbot service providers will need to clarify how health data is stored, processed, shared, and used. Without strong data protection and transparency standards, users are exposed to further risks to their well-being.
Way Forward
- Addressing Therapeutic Misconception: A lack of understanding of the purpose and capabilities of such chatbots, in terms of care expectations and treatments they can offer, can jeopardize user health. Platforms providing such services should be mandated to lay disclaimers about the limitations of the therapeutic relationship between the platform and its users in a manner that is easy to understand.
- Improved Algorithm Design: Training data for these models must undertake regular updates and audits to enhance their accuracy, incorporate contextual socio-cultural factors for profile analysis, and use feedback loops from customers and mental health professionals.
- Human Oversight: Models of therapy where AI chatbots are used to supplement treatment instead of replacing human intervention can be explored. Such platforms must also provide escalation mechanisms in cases where human-intervention is sought or required.
Conclusion
It is important to recognize that so far, there is no substitute for professional mental health services. Chatbots can help users gain awareness of their mental health condition and play an educational role in this regard, nudging them in the right direction, and provide assistance to both the practitioner and the client/patient. However, relying on this option to fill gaps in mental health services is not enough. Addressing this growing —and arguably already critical— global health crisis requires dedicated public funding to ensure comprehensive mental health support for all.
Sources
- https://www.who.int/news/item/17-06-2022-who-highlights-urgent-need-to-transform-mental-health-and-mental-health-care
- https://health.economictimes.indiatimes.com/news/industry/mental-healthcare-in-india-building-a-strong-ecosystem-for-a-sound-mind/105395767#:~:text=Indian%20mental%20health%20market%20is,access%20to%20better%20quality%20services.
- https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2023.1278186/full