#FactCheck-AI-Generated Video Falsely Shared as Drone Show Honouring Cristiano Ronaldo Introduction

Executive Summary

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A video circulating on social media allegedly shows Uttar Pradesh Chief Minister Yogi Adityanath criticizing Bollywood actor Shah Rukh Khan and asking people not to watch his films. Users sharing the clip claim that these statements are recent. CyberPeace’s research has found the claim to be misleading. research  revealed that the video is from 2015, long before Yogi Adityanath became the Chief Minister of Uttar Pradesh. At that time, he was serving as a Member of Parliament from Gorakhpur.

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Claim

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On January 13, 2026, a Facebook user shared the video with the caption: "A clear message from the Hon’ble Chief Minister of Uttar Pradesh, Param Pujya Mahant Yogi Adityanath, urging people not to watch Shah Rukh Khan’s movie. Share this message widely, send it to all groups you are part of, and inform the youth in your family."

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• https://www.facebook.com/shifujrajpal.bishwas.5/posts/887830496942213/ 
• https://archive.ph/fHPb4 

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Fact Check: 

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To verify the claim, keyframes from the viral video were extracted and reverse-searched using Google Lens. The same video was found in a Facebook post dated March 28, 2022, where it was shared with the caption: "Baba Ji’s message to not watch Shah Rukh Khan’s ‘Pathaan’ movie."

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• https://www.facebook.com/permalink.php?story_fbid=5491945904168889&id=100000606025317 

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Further research traced the video to Aaj Tak’s website, which reported on November 4, 2015, that then-BJP MP Yogi Adityanath criticized Shah Rukh Khan, comparing his language to that of terrorist Hafiz Saeed, stating that there was no difference in their statements.

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• https://www.aajtak.in/india/story/yogi-aditya-nath-targets-shahrukh-khan-says-no-difference-in-language-of-srk-and-hafiz-sayeed-317760-2015-11-04 

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A Live Hindustan report from the same date confirmed that Yogi Adityanath had strongly reacted to Shah Rukh Khan’s comments on rising intolerance in India and Hafiz Saeed’s invitation for him to stay in Pakistan. The reports make it clear that Yogi Adityanath criticized Shah Rukh Khan in 2015 by highlighting the similarity between his statements and those of Hafiz Saeed. At the same time, Shah Rukh Khan had highlighted growing intolerance in the country, citing incidents where filmmakers, scientists, and authors were returning awards, describing it as a sign of “deep intolerance” in India.

• https://www.livehindustan.com/news/national/article1-story--39-502923.html 

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Conclusion:

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Our research  found that the statement attributed to Chief Minister Yogi Adityanath circulating on social media is not recent. The video dates back to 2015, a time when Yogi Adityanath was not yet the Chief Minister of Uttar Pradesh.

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Introduction

The 2025 Delhi Legislative Assembly election is just around the corner, scheduled for February 5, 2025, with all 70 constituencies heading to the polls. The eagerly awaited results will be announced on February 8, bringing excitement as the people of Delhi prepare to see their chosen leader take the helm as Chief Minister. As the election season unfolds, social media becomes a buzzing hub of activity, with information spreading rapidly across platforms. However, this period also sees a surge in online mis/disinformation, making elections a hotspot for misleading content. It is crucial for citizens to exercise caution and remain vigilant against false or deceptive online posts, videos, or content. Empowering voters to distinguish facts from fiction and recognize the warning signs of misinformation is essential to ensure informed decision-making. By staying alert and well-informed, we can collectively safeguard the integrity of the democratic process.

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Risks of Mis/Disinformation

According to the 2024 survey report titled ‘Truth Be Told’ by ‘The 23 Watts’, 90% of Delhi’s youth (Gen Z) report witnessing a spike in fake news during elections, and 91% believe it influences voting patterns. Furthermore, the research highlights that 14% of Delhi’s youth tend to share sensational news without fact-checking, relying solely on conjecture.

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Recent Measures by ECI

Recently the Election Commission of India (EC) has issued a fresh advisory to political parties to ensure responsible use of AI-generated content in their campaigns. The EC has issued guidelines to curb the potential use of "deepfakes" and AI-generated distorted content by political parties and their representatives to disturb the level playing field. EC has mandated the labelling of all AI-generated content used in election campaigns to enhance transparency, combat misinformation, ensuring a fair electoral process in the face of rapidly advancing AI technologies.

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Best Practices to Avoid Electoral Mis/Disinformation 

• Seek Information from Official Sources: Voters should rely on authenticated sources for information. These include reading official manifestos, following verified advisory notifications from the Election Commission, and avoiding unverified claims or rumours.
• Consume News Responsibly: Voters must familiarize themselves with dependable news channels and make use of reputable fact-checking organizations that uphold the integrity of news content. It is crucial to refrain from randomly sharing or forwarding any news post, video, or message without verifying its authenticity. Consume responsibly, fact-check thoroughly, and share cautiously.
• Role of Fact-Checking: Cross-checking and verifying information from credible sources are indispensable practices. Reliable and trustworthy fact-checking tools are vital for assessing the authenticity of information in the digital space. Voters are encouraged to use these tools to validate information from authenticated sources and adopt a habit of verification on their own. This approach fosters a culture of critical thinking, empowering citizens to counter deceptive deepfakes and malicious misinformation effectively. It also helps create a more informed and resilient electorate.
• Be Aware of Electoral Deepfakes: In the era of artificial intelligence, synthetic media presents significant challenges. Just as videos can be manipulated, voices can also be cloned. It is essential to remain vigilant against the misuse of deepfake audio and video content by malicious actors. Recognize the warning signs, such as inconsistencies or unnatural details, and stay alert to misleading multimedia content. Proactively question and verify such material to avoid falling prey to deception.

References

1. https://www.financialexpress.com/business/brandwagon-90-ofnbsp-delhi-youth-witness-spike-in-fake-news-during-elections-91-believe-it-influences-voting-patterns-revealed-the-23-watts-report-3483166/
2. https://timesofindia.indiatimes.com/india/election-commission-urges-parties-to-disclose-ai-generated-campaign-content-in-interest-of-transparency/articleshow/117306865.cms
3. https://www.thehindu.com/news/national/election-commission-issues-advisory-on-use-of-ai-in-poll-campaigning/article69103888.ece
4. https://indiaai.gov.in/article/election-commission-of-india-embraces-ai-ethics-in-campaigning-advisory-on-labelling-ai-generated-content

A report by MarketsandMarkets in 2024 showed that the global AI market size is estimated to grow from USD 214.6 billion in 2024 to USD 1,339.1 billion in 2030, at a CAGR of 35.7%. AI has become an enabler of productivity and innovation. A Forbes Advisor survey conducted in 2023 reported that 56% of businesses use AI to optimise their operations and drive efficiency. Further, 51% use AI for cybersecurity and fraud management, 47% employ AI-powered digital assistants to enhance productivity and 46% use AI to manage customer relationships.

AI has revolutionised business functions. According to a Forbes survey, 40% of businesses rely on AI for inventory management, 35% harness AI for content production and optimisation and 33% deploy AI-driven product recommendation systems for enhanced customer engagement.  This blog addresses the opportunities and challenges posed by integrating AI into operational efficiency.

Artificial Intelligence and its resultant Operational Efficiency

AI has exemplary optimisation or efficiency capabilities and is widely used to do repetitive tasks. These tasks include payroll processing, data entry, inventory management, patient registration, invoicing, claims processing, and others. AI use has been incorporated into such tasks as it can uncover complex patterns using NLP, machine learning, and deep learning beyond human capabilities. It has also shown promise in improving the decision-making process for businesses in time-critical, high-pressure situations. 

AI-driven efficiency is visible in industries such as the manufacturing industry for predictive maintenance, in the healthcare industry for streamlining diagnostics and in logistics for route optimisation. Some of the most common real-world examples of AI increasing operational efficiency are self-driving cars (Tesla), facial recognition (Apple Face ID), language translation (Google Translate), and medical diagnosis (IBM Watson Health)

Harnessing AI has advantages as it helps optimise the supply chain, extend product life cycles, and ultimately conserve resources and cut operational costs. 

Policy Implications for AI Deployment 

Some of the policy implications for development for AI deployment are as follows:

1. Develop clear and adaptable regulatory frameworks for the ongoing and future developments in AI. The frameworks need to ensure that innovation is not hindered while managing the potential risks. 
2. As AI systems rely on high-quality data that is accessible and interoperable to function effectively and without proper data governance, these systems may produce results that are biased, inaccurate and unreliable. Therefore, it is necessary to ensure data privacy as it is essential to maintain trust and prevent harm to individuals and organisations.
3. Policy developers need to focus on creating policies that upskill the workforce which complements AI development and therefore job displacement. 
4. To ensure cross-border applicability and efficiency of standardising AI policies, the policy-makers need to ensure that international cooperation is achieved when developing the policies.

Addressing Challenges and Risks 

Some of the main challenges that emerge with the development of AI are algorithmic bias, cybersecurity threats and the dependence on exclusive AI solutions or where the company retains exclusive control over the source codes. Some policy approaches that can be taken to mitigate these challenges are:

1. Having a robust accountability mechanism. 
2. Establishing identity and access management policies that have technical controls like authentication and authorisation mechanisms. 
3. Ensure that the learning data that AI systems use follows ethical considerations such as data privacy, fairness in decision-making, transparency, and the interpretability of AI models.

Conclusion 

AI can contribute and provide opportunities to drive operational efficiency in businesses. It can be an optimiser for productivity and costs and foster innovation for different industries. But this power of AI comes with its own considerations and therefore, it must be balanced with proactive policies that address the challenges that emerge such as the need for data governance, algorithmic bias and risks associated with cybersecurity. A solution to overcome these challenges is establishing an adaptable regulatory framework, fostering workforce upskilling and promoting international collaborations. As businesses integrate AI into core functions, it becomes necessary to leverage its potential while safeguarding fairness, transparency, and trust. AI is not just an efficiency tool, it has become a stimulant for organisations operating in a rapidly evolving digital world.

References

• https://indianexpress.com/article/technology/artificial-intelligence/ai-indian-businesses-long-term-gain-operational-efficiency-9717072/ 
• https://www.marketsandmarkets.com/Market-Reports/artificial-intelligence-market-74851580.html
• https://www.forbes.com/councils/forbestechcouncil/2024/08/06/smart-automation-ais-impact-on-operational-efficiency/ 
• https://www.processexcellencenetwork.com/ai/articles/ai-operational-excellence 
• https://www.leewayhertz.com/ai-for-operational-efficiency/ 
• https://www.forbes.com/councils/forbestechcouncil/2024/11/04/bringing-ai-to-the-enterprise-challenges-and-considerations/  

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