#FactCheck - False Claim about Video of Sadhu Lying in Fire at Mahakumbh 2025
Executive Summary:
Recently, our team came across a video on social media that appears to show a saint lying in a fire during the Mahakumbh 2025. The video has been widely viewed and comes with captions claiming that it is part of a ritual during the ongoing Mahakumbh 2025. After thorough research, we found that these claims are false. The video is unrelated to Mahakumbh 2025 and comes from a different context and location. This is an example of how the information posted was from the past and not relevant to the alleged context.
Claim:
A video has gone viral on social media, claiming to show a saint lying in fire during Mahakumbh 2025, suggesting that this act is part of the traditional rituals associated with the ongoing festival. This misleading claim falsely implies that the act is a standard part of the sacred ceremonies held during the Mahakumbh event.
Fact Check:
Upon receiving the post we conducted a reverse image search of the key frames extracted from the video, and traced the video to an old article. Further research revealed that the original post was from 2009, when Ramababu Swamiji, aged 80, laid down on a burning fire for the benefit of society. The video is not recent, as it had already gone viral on social media in November 2009. A closer examination of the scene, crowd, and visuals clearly shows that the video is unrelated to the rituals or context of Mahakumbh 2025. Additionally, our research found that such activities are not part of the Mahakumbh rituals. Reputable sources were also kept into consideration to cross-verify this information, effectively debunking the claim and emphasizing the importance of verifying facts before believing in anything.
For more clarity, the YouTube video attached below further clears the doubt, which reminds us to verify whether such claims are true or not.
Conclusion:
The viral video claiming to depict a saint lying in fire during Mahakumbh 2025 is entirely misleading. Our thorough fact-checking reveals that the video dates back to 2009 and is unrelated to the current event. Such misinformation highlights the importance of verifying content before sharing or believing it. Always rely on credible sources to ensure the accuracy of claims, especially during significant cultural or religious events like Mahakumbh.
- Claim: A viral video claims to show a saint lying in fire during the Mahakumbh 2025.
- Claimed On: X (Formerly Known As Twitter)
- Fact Check: False and Misleading
Related Blogs
Executive Summary:
A widely circulated claim on social media indicates that six soldiers of the Assam Rifles were killed during a retaliatory attack carried out by a Myanmar-based breakaway faction of the United Liberation Front of Asom (Independent), or ULFA (I). The post included a photograph of coffins covered in Indian flags with reference to soldiers who were part of the incident where ULFA (I) killed six soldiers. The post was widely shared, however, the fact-check confirms that the photograph is old, not related, and there are no trustworthy reports to indicate that any such incident took place. This claim is therefore false and misleading.
Claim:
Social media users claimed that the banned militant outfit ULFA (I) killed six Assam Rifles personnel in retaliation for an alleged drone and missile strike by Indian forces on their camp in Myanmar with captions on it “Six Indian Army Assam Rifles soldiers have reportedly been killed in a retaliatory attack by the Myanmar-based ULFA group.”. The claim was accompanied by a viral post showing coffins of Indian soldiers, which added emotional weight and perceived authenticity to the narrative.
Fact Check:
We began our research with a reverse image search of the image of coffins in Indian flags, which we saw was shared with the viral claim. We found the image can be traced to August 2013. We found the traces in The Washington Post, which confirms the fact that the viral snap is from the Past incident where five Indian Army soldiers were killed by Pakistani intruders in Poonch, Jammu, and Kashmir, on August 6, 2013.
Also, The Hindu and India Today offered no confirmation of the death of six Assam Rifles personnel. However, ULFA (I) did issue a statement dated July 13, 2025, claiming that three of its leaders had been killed in a drone strike by Indian forces.
However, by using Shutterstock, it depicts that the coffin's image is old and not representative of any current actions by the United Liberation Front of Asom (ULFA).
The Indian Army denied it, with Defence PRO Lt Col Mahendra Rawat telling reporters there were "no inputs" of such an operation. Assam Chief Minister Himanta Biswa Sarma also rejected that there was cross-border military action whatsoever. Therefore, the viral claim is false and misleading.
Conclusion:
The assertion that ULFA (I) killed six soldiers from the 6th Assam Rifles in a retaliation strike is incorrect. The viral image used in these posts is from 2013 in Jammu & Kashmir and has no relevance to the present. There have been no verified reports of any such killings, and both the Indian Army and the Assam government have categorically denied having conducted or knowing of any cross-border operation. This faulty narrative is circulating, and it looks like it is only inciting fear and misinformation therefore, please ignore it.
- Claim: Report confirms the death of six Assam Rifles personnel in an ULFA-led attack.
- Claimed On: Social Media
- Fact Check: False and Misleading
Introduction
Advanced deepfake technology blurs the line between authentic and fake. To ascertain the credibility of the content it has become important to differentiate between genuine and manipulated or curated online content highly shared on social media platforms. AI-generated fake voice clone, videos are proliferating on the Internet and social media. There is the use of sophisticated AI algorithms that help manipulate or generate synthetic multimedia content such as audio, video and images. As a result, it has become increasingly difficult to differentiate between genuine, altered, or fake multimedia content. McAfee Corp., a well-known or popular global leader in online protection, has recently launched an AI-powered deepfake audio detection technology under Project “Mockingbird” intending to safeguard consumers against the surging threat of fabricated or AI-generated audio or voice clones to dupe people for money or unauthorisly obtaining their personal information. McAfee Corp. announced its AI-powered deepfake audio detection technology, known as Project Mockingbird, at the Consumer Electronics Show, 2024.
What is voice cloning?
To create a voice clone of anyone's, audio can be deeplyfaked, too, which closely resembles a real voice but, in actuality, is a fake voice created through deepfake technology.
Emerging Threats: Cybercriminal Exploitation of Artificial Intelligence in Identity Fraud, Voice Cloning, and Hacking Acceleration
AI is used for all kinds of things from smart tech to robotics and gaming. Cybercriminals are misusing artificial intelligence for rather nefarious reasons including voice cloning to commit cyber fraud activities. Artificial intelligence can be used to manipulate the lips of an individual so it looks like they're saying something different, it could also be used for identity fraud to make it possible to impersonate someone for a remote verification for your bank and it also makes traditional hacking more convenient. Cybercriminals have been misusing advanced technologies such as artificial intelligence, which has led to an increase in the speed and volume of cyber attacks, and that's been the theme in recent times.
Technical Analysis
To combat Audio cloning fraudulent activities, McAfee Labs has developed a robust AI model that precisely detects artificially generated audio used in videos or otherwise.
- Context-Based Recognition: Contextual assessment is used by technological devices to examine audio components in the overall setting of an audio. It improves the model's capacity to recognise discrepancies suggestive of artificial intelligence-generated audio by evaluating its surroundings information.
- Conductual Examination: Psychological detection techniques examine linguistic habits and subtleties, concentrating on departures from typical individual behaviour. Examining speech patterns, tempo, and pronunciation enables the model to identify artificially or synthetically produced material.
- Classification Models: Auditory components are categorised by categorisation algorithms for detection according to established traits of human communication. The technology differentiates between real and artificial intelligence-synthesized voices by comparing them against an extensive library of legitimate human speech features.
- Accuracy Outcomes: McAfee Labs' deepfake voice recognition solution, which boasts an impressive ninety per cent success rate, is based on a combined approach incorporating psychological, context-specific, and categorised identification models. Through examining audio components in the larger video context and examining speech characteristics, such as intonation, rhythm, and pronunciation, the system can identify discrepancies that could be signs of artificial intelligence-produced audio. Categorical models make an additional contribution by classifying audio information according to characteristics of known human speech. This all-encompassing strategy is essential for precisely recognising and reducing the risks connected to AI-generated audio data, offering a strong barrier against the growing danger of deepfake situations.
- Application Instances: The technique protects against various harmful programs, such as celebrity voice-cloning fraud and misleading content about important subjects.
Conclusion
It is important to foster ethical and responsible consumption of technology. Awareness of common uses of artificial intelligence is a first step toward broader public engagement with debates about the appropriate role and boundaries for AI. Project Mockingbird by Macafee employs AI-driven deepfake audio detection to safeguard against cyber criminals who are using fabricated AI-generated audio for scams and manipulating the public image of notable figures, protecting consumers from financial and personal information risks.
References:
- https://www.cnbctv18.com/technology/mcafee-deepfake-audio-detection-technology-against-rise-in-ai-generated-misinformation-18740471.htm
- https://www.thehindubusinessline.com/info-tech/mcafee-unveils-advanced-deepfake-audio-detection-technology/article67718951.ece
- https://lifestyle.livemint.com/smart-living/innovation/ces-2024-mcafee-ai-technology-audio-project-mockingbird-111704714835601.html
- https://news.abplive.com/fact-check/audio-deepfakes-adding-to-cacophony-of-online-misinformation-abpp-1654724
Introduction
In the dynamic intersection of pop culture and technology, an unexpected drama unfolded in the virtual world, where the iconic Taylor Swift account has been temporarily blocked on X . The incident sent a shockwave through the online community, sparking debates and speculation about the misuse of deepfake technology.
Taylor Swift's searches on social media platform X have been restored after a temporary blockage was lifted following outrage over her explicit AI images. The social media site, formerly known as Twitter, temporarily restricted searches for Taylor Swift as a temporary measure to address a flood of AI-generated deepfake images that went viral across X and other platforms.
X has mentioned it is actively removing the images and taking appropriate actions against the accounts responsible for spreading them. While Swift has not spoken publicly about the fake images, a report stated that her team is "considering legal action" against the site which published the AI-generated images.
The Social Media Frenzy
As news of temporary blockages spread like wildfire across social media platforms, users engaged in a frenzy of reactions. The fake picture was re-shared 24,000 times, with tens of thousands of users liking the post. This engagement supercharged the deepfake image of Taylor Swift, and by the time the moderators woke up, it was too late. Hundreds of accounts began reposting it, which started an online trend. Taylor Swift's AI video reached an even larger audience. The source of the photograph wasn't even known to begin with. The revelations are causing outrage. American lawmakers from across party lines have spoken. One of them said they were astounded, while another said they were shocked.
AI Deepfake Controversy
The deepfake controversy is not new. There are lot of cases such as Rashmika Mandana, Sachin Tendulkar, and now Taylor Swift have been the victims of such misuse of Deepfake technology. The world is facing a concern about the misuse of AI or deepfake technology. With no proactive measures in place, this threat will only worsen affecting privacy concerns for individuals. This incident has opened a debate among users and industry experts on the ethical use of AI in the digital age and its privacy concerns.
Why has the Incident raised privacy concerns?
The emergence of Taylor Swift's deepfake has raised privacy concerns for several reasons.
- Misuse of Personal Imagery: Deepfake uses AI and its algorithms to superimpose one person’s face onto another person’s body, the algorithms are processed again and again till the desired results are obtained. In the case of celebrities or higher-position people, it's very easy for crooks to get images and generate a deepfake. In the case of Taylor Swift, her images are misused. The misuse of Images can have serious consequences for an individual's reputation and privacy.
- False narrative and Manipulation: Deepfake opens the door for public reaction and spreads false narratives, causing harm to reputation, and affecting personal and professional life. Such false narratives through deepfakes may influence public opinion and damage reputation making it challenging for the person to control it.
- Invasion of Privacy: Creating a deepfake involves gathering a significant amount of information about their targets without their consent. The use of such personal information for the creation of AI-generated content without permission raises serious privacy concerns.
- Difficulty in differentiation: Advanced Deepfake technology makes it difficult for people to differentiate between genuine and manipulated content.
- Potential for Exploitation: Deepfake could be exploited for financial gain or malicious motives of the cyber crooks. These videos do harm the reputation, damage the brand name, and partnerships, and even hamper the integrity of the digital platform upon which the content is posted, they also raise questions about the platform’s policy or should we say against the zero-tolerance policy on posting the non-consensual nude images.
Is there any law that could safeguard Internet users?
Legislation concerning deepfakes differs by nation and often spans from demanding disclosure of deepfakes to forbidding harmful or destructive material. Speaking about various countries, the USA including its 10 states like California, Texas, and Illinois have passed criminal legislation prohibiting deepfake. Lawmakers are advocating for comparable federal statutes. A Democrat from New York has presented legislation requiring producers to digitally watermark deepfake content. The United States does not criminalise such deepfakes but does have state and federal laws addressing privacy, fraud, and harassment.
In 2019, China enacted legislation requiring the disclosure of deepfake usage in films and media. Sharing deepfake pornography became outlawed in the United Kingdom in 2023 as part of the Online Safety Act.
To avoid abuse, South Korea implemented legislation in 2020 criminalising the dissemination of deepfakes that endanger the public interest, carrying penalties of up to five years in jail or fines of up to 50 million won ($43,000).
In 2023, the Indian government issued an advisory to social media & internet companies to protect against deepfakes that violate India'sinformation technology laws. India is on its way to coming up with dedicated legislation to deal with this subject.
Looking at the present situation and considering the bigger picture, the world urgently needs strong legislation to combat the misuse of deepfake technology.
Lesson learned
The recent blockage of Taylor Swift's searches on Elon Musk's X has sparked debates on responsible technology use, privacy protection, and the symbiotic relationship between celebrities and the digital era. The incident highlights the importance of constant attention, ethical concerns, and the potential dangers of AI in the digital landscape. Despite challenges, the digital world offers opportunities for growth and learning.
Conclusion
Such deepfake incidents highlight privacy concerns and necessitate a combination of technological solutions, legal frameworks, and public awareness to safeguard privacy and dignity in the digital world as technology becomes more complex.
References:
- https://www.hindustantimes.com/world-news/us-news/taylor-swift-searches-restored-on-elon-musks-x-after-brief-blockage-over-ai-deepfakes-101706630104607.html
- https://readwrite.com/x-blocks-taylor-swift-searches-as-explicit-deepfakes-of-singer-go-viral/
