#FactCheck -AI-Generated Video Falsely Shows Cristiano Ronaldo Chanting “Free Palestine

Introduction

Cyber financial offences in India have experienced an alarming surge both in terms of frequency and complexity. Be it phishing attacks or organised fraud syndicates, the nation has been facing a spurt in online financial threats, which leave the victims at their mercy because of procedural lags on the part of law enforcement agencies. To counter this, the Government of India has stepped up measures to create a Cyber-Secure Bharat, focusing on speedy resolution, accountability, and digital empowerment. A key move in this direction is the introduction of the e-Zero FIR initiative, brought forth by the Ministry of Home Affairs (MHA) with Union Home Minister Amit Shah at the helm. This newly developed digital-first system is expected to revolutionise the way cyber financial crimes, particularly those that result in high monetary losses, are handled and investigated.

What Is the e-Zero FIR Initiative?

The e-Zero FIR program is a technology-based platform that enables the automated registration of Zero FIRs for value cyber financial crimes. Led by the Indian Cybercrime Coordination Centre (I4C), Ministry of Home Affairs, the programme is now piloted in Delhi and aims to fill a pressing lacuna: the time lag involved in transitioning cybercrime complaints to First Information Reports (FIRs).

Complaints of financial frauds worth more than ₹10 lakh, reported through the National Cybercrime Reporting Portal (NCRP) or helpline number 1930, will be automatically turned into e-Zero FIRs under this scheme. Such electronic FIRs are directed to the e-Crime Police Station in Delhi, regardless of jurisdiction, and then relayed to the corresponding territorial cybercrime unit. Complainants can visit the cybercrime Police Station within 3 days and get the Zero FIR converted into a regular FIR.

Key Features of the Initiative

1. Pilot Implementation in Delhi

Launched as a pilot project in Delhi, it will later serve as the first use case for the national rollout. The success of the pilot will determine its implementation in other states and Union Territories.

2. Seamless Digital Integration

The project provides strong back-end integration between:

• NCRP (National Cybercrime Reporting Portal)
• e-FIR System (Delhi Police)
• CCTNS (Crime and Criminal Tracking Network & Systems – NCRB)

This integrated model enables complaints to pass smoothly between platforms and agencies.

3. Zero FIR Auto-Registration and Routing

Now, for complaints lodged through 1930 or the National Cyber Crime Reporting Portal related to financial losses exceeding the threshold of ₹10 lakh, the system will automatically register a Zero FIR to the e-Crime Police Station of Delhi and then route it to the concerned territorial cybercrime police station, triggering immediate case processing.

4. Victim-Centric Conversion Mechanism

Complainants are given 3 days from the time of filing to physically report to the police station and transform the e-Zero FIR into a conventional regular FIR under Section 173 (1) and 1(ii) of the newly enacted Bhartiya Nagrik Suraksha Sanhita (BNSS). This ensures legal redress is quicker and easier.

Impact and Significance: The CyberPeace View

The e-Zero FIR system is a significant change in India's cybercrime enforcement, offering quicker response times and improved recovery opportunities. Cyber fraud reported within the "golden hour" can boost recovery levels of financial fraud. The system also eliminates jurisdictional barriers and procedural bottlenecks, making it more victim-friendly. Union Home Minister Amit Shah emphasised the initiative's alignment with Prime Minister Narendra Modi's vision of a digitally resilient India. The system is a scalable national model of tech-based policing supported by organised digital workflows. The initiative allows for real-time analysis of fraud graphs and detection of fraud syndicates through identification and device-based clustering. This is a step towards more automated, context-aware cyber policing, focusing on AI, identity graphs, and velocity to prevent crimes. The system is a step towards a next-generation cyber law enforcement strategy, focusing on AI, identity graphs, and velocity.

Conclusion

The roll-out of the e-Zero FIR program is a turning point in India's battle against cybercrime. By marrying automation with inter-agency coordination and easy-to-use mechanisms, the government has eradicated one of the major stumbling blocks for victims, the delay in taking legal action. Though its pilot phase targets high-value financial frauds in Delhi, its potential for having a countrywide impact is vast. With digital transactions on the upswing and frauds getting more cunning, efforts like these are the key to making a safe, responsive, and victim-centric cyber environment. CyberPeace commends and welcomes this important move towards establishing a Cyber-Secure Bharat, wherein all citizens can make digital transactions with confidence.

References

• https://www.pib.gov.in/PressReleasePage.aspx?PRID=2129715
• https://www.mha.gov.in/en
• https://cybercrime.gov.in/
• https://www.ncrb.gov.in/
• https://economictimes.indiatimes.com/wealth/save/new-e-zero-fir-govt-launches-pilot-for-swift-action-against-cybercrimes-how-it-can-help-you/articleshow/121314437.cms?from=mdr

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Executive Summary:

A viral video of the Argentina football team dancing in the dressing room to a Bhojpuri song is being circulated in social media. After analyzing the originality, CyberPeace Research Team discovered that this video was altered and the music was edited. The original footage was posted by former Argentine footballer Sergio Leonel Aguero in his official Instagram page on 19th December 2022. Lionel Messi and his teammates were shown celebrating their win at the 2022 FIFA World Cup. Contrary to viral video, the song in this real-life video is not from Bhojpuri language. The viral video is cropped from a part of Aguero’s upload and the audio of the clip has been changed to incorporate the Bhojpuri song. Therefore, it is concluded that the Argentinian team dancing to Bhojpuri song is misleading.

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Claims:

A video of the Argentina football team dancing to a Bhojpuri song after victory.

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Fact Check:

On receiving these posts, we split the video into frames, performed the reverse image search on one of these frames and found a video uploaded to the SKY SPORTS website on 19 December 2022.

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We found that this is the same clip as in the viral video but the celebration differs. Upon further analysis, We also found a live video uploaded by Argentinian footballer Sergio Leonel Aguero on his Instagram account on 19th December 2022. The viral video was a clip from his live video and the song or music that’s playing is not a Bhojpuri song. 

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Thus this proves that the news that circulates in the social media in regards to the viral video of Argentina football team dancing Bhojpuri is false and misleading. People should always ensure to check its authenticity before sharing.

Conclusion:

In conclusion, the video that appears to show Argentina’s football team dancing to a Bhojpuri song is fake. It is a manipulated version of an original clip celebrating their 2022 FIFA World Cup victory, with the song altered to include a Bhojpuri song. This confirms that the claim circulating on social media is false and misleading.

• Claim: A viral video of the Argentina football team dancing to a Bhojpuri song after victory.
• Claimed on: Instagram, YouTube
• Fact Check: Fake & Misleading

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Introduction

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AI is transforming the way work is done and redefining the nature of jobs over the next decade. In the case of India, it is not just what duties will be taken over by machines, but how millions of employees will move to other sectors, which skills will become more sought-after, and how policy will have to change in response. This article relies on recent labour data of India's Periodic Labour Force Survey (PLFS, 2023-24) and discusses the vulnerabilities to disruption by location and social groups. It recommends viable actions that can be taken to ensure that risks are minimised and economic benefits maximised.

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India’s Labour Market and Its Automation Readiness

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According to India’s Periodic Labour Force Survey (PLFS), the labour market is changing and growing. Participation in the labour force improved to 60.1 per percent in 2023-24 versus 57.9 per cent the year before, and the ratio of the worker population also improved, signifying the increased employment uptake both in the rural and urban geographies (PLFS, 2023-24). There has also been an upsurge of female involvement. However,  a big portion of the job market has been low-wage and informal, with most of the jobs being routine and thus most vulnerable to automation. The statistics indicate a two-tiered reality of the Indian labour market: an increased number of working individuals and a structural weakness.

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AI-Driven Automation’s Impact on Tasks and Emerging Opportunities 

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AI-driven automation, for the most part,  affects the task components of jobs rather than wiping out whole jobs. The most automatable tasks are routine and manual, and more recent developments in AI have extended to non-routine cognitive tasks like document review, customer query handling, basic coding and first-level decision-making. There are two concurrent findings of global studies. To start with, part of the ongoing tasks will be automated or expedited. Second, there will be completely new tasks and work positions around data annotation, the operation of AI systems, prompt engineering, algorithmic supervision and AI adherence (World Bank, 2025; McKinsey, 2017).

In the case of India, this change will be skewed by sector. The manufacturing, back-office IT services, retail and parts of financial services will see the highest rate of disruption due to the concentration of routine processes with the ease of technology adoption. In comparison, healthcare, education, high-tech manufacturing and AI safety auditing are placed to create new skilled jobs. NITI Aayog estimates huge returns in GDP with the adoption of AI but emphasises that India has to invest simultaneously in job creation and reskilling to achieve the returns (NITI Aayog, 2025).

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Groups with Highest Vulnerability in the Transition to Automation

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The PLFS emphasises that a large portion of the Indian population does not have any formal employment and that the social protection is minimal and formal training is not available to them. The risk of displacement is likely to be the greatest for informal employees, making up almost 90% of India’s labour force, who carry out low-skilled, repetitive jobs in the manufacturing and retail industry (PLFS, 2023-24). Women and young people in low-level service jobs also face a greater challenge of transition pressure unless the reskilling and placement efforts can be tailored to them. Meanwhile, major cities and urban centres are likely to have openings for most of the new skilled opportunities at the expense of an increasing geographic and social divide. 

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The Skills and Supply Challenge

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While India’s education and research ecosystem is expanding, there remain significant gaps in preparing the workforce for AI-driven change. Given the vulnerabilities highlighted earlier, AI-focused reskilling must be a priority to equip workers with practical skills that meet industry needs. Short modular programs in areas such as cloud technologies, AI operations, data annotation, human-AI interaction, and cybersecurity can provide workers with employable skills. Particular attention should be given to routine-intensive sectors like manufacturing, retail, and back-office services, as well as to regions with high informal employment or lower access to formal training. Public-private partnerships and localised training initiatives can help ensure that reskilling translates into concrete job opportunities rather than purely theoretical knowledge (NITI Aayog, 2025)

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The Way Forward

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To facilitate the change process, the policy should focus on three interconnected goals: safeguarding the vulnerable, developing competencies on a large-scale level, and directing innovation towards the widespread ability to benefit.

1. Protect the vulnerable through social buffers. Provide informal workers with social protection in the form of portable benefits, temporary income insurance based on reskilling, and earned training leave. While the new labour codes provide essential protections such as unemployment allowances and minimum wage standards, they could be strengthened by incorporating explicit provisions for reskilling. This would better support informal workers during job transitions and enhance workforce adaptability.
2. Short modular courses on cloud computing, cybersecurity, data annotation, AI operations, and human-AI interaction should be planned through collaboration between public and private training providers. Special preference should be given to industry-certified certifications and apprenticeship-based placements. These apprenticeships should be made accessible in multiple languages to ensure inclusivity. Existing government initiatives, such as NASSCOM’s Future Skills Prime, need better outreach and marketing to reach the workforce effectively.
3. Enhance local labour market mediators. Close the disparity between local demand and the supply of labour in the industry by enhancing placement services and government-subsidised internship programmes for displaced employees and encouraging firms to hire and train locally.
4. Invest in AI literacy, AI ethics, and basic education. Democratise access to research and learning by introducing AI literacy in schools, increasing STEM seats in universities, and creating AI labs in the region (NITI Aayog, 2025).
5. Encourage AI adoption that creates jobs rather than replaces them. Fiscal and regulatory incentives should prioritise AI tools that augment worker productivity in routine roles instead of eliminating positions. Public procurement can support firms that demonstrate responsible and inclusive deployment of AI, ensuring technology benefits both business and workforce.
6. Supervise and oversee the transition. Use PLFS and real-time administrative data to monitor shrinking and expanding occupations. High-frequency labour market dashboards will allow making specific interventions in those regions in which the acceleration of displacement occurs.

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Conclusion

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The integration of AI will significantly impact the future of the Indian workforce, but policy will determine its effect on the labour market.  The PLFS indicates increased employment but a structural weakness of informal and routine employment. Evidence from the Indian market and international research points to the fact that the appropriate combination of social protection, skills building and responsible technology implementation can change disruption into a path of upward mobility. There is a very limited window of action. The extent to which India will realise the productivity and GDP benefits predicted by national research, alongside the investments made in labour market infrastructure, remains uncertain. It is crucial that these efforts lead to the capture of gains and facilitate a fair and inclusive transition for workers.

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References

• Annual Report Periodic Labour Force Survey (PLFS) JULY 2022 - JUNE 2023. 
• Future Jobs: Robots, Artificial Intelligence, and Digital Platforms in East Asia and Pacific, World Bank. 
• Jobs Lost, Jobs Gained: What the Future of Work Will Mean for Jobs, Skills, and Wages, McKinsey Global Institute 
• Roadmap for Job Creation in the AI Economy, NITI Aayog
• India central bank chief warns of financial stability risks from growing use of AI, Reuters 
• AI Cyber Attacks Statistics 2025, SQ Magazine. 

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