#FactCheck : Old video of Ranveer Singh at Kashi Vishwanath Temple falsely linked to ‘Dhurandhar 2’ success
Executive Summary
Following the reported box office success of ‘Dhurandhar 2: The Revenge’, released on March 19, 2026, a video of Ranveer Singh visiting a temple is being widely shared on social media. Users claim that the actor visited the Kashi Vishwanath Temple to offer prayers after the film’s success. Research by CyberPeace found that the viral claim is misleading. The video of Ranveer Singh visiting the Kashi Vishwanath Temple is not recent. It dates back to 2024, when he visited the temple with Kriti Sanon, and is unrelated to the release or success of ‘Dhurandhar 2: The Revenge’.
Claim
An Instagram user “newsbharatplus” shared the video on March 26, 2026, with a caption stating that after the massive success of Dhurandhar 2, Ranveer Singh visited the temple and performed rituals.
Fact Check
To verify the claim, we extracted keyframes from the viral video and conducted a reverse image search. This led us to a report published by Dainik Jagran on April 14, 2024. According to the report, Ranveer Singh had visited the Kashi Vishwanath Temple along with Kriti Sanon and noted fashion designer Manish Malhotra. During the visit, the trio was seen offering prayers, wearing traditional attire, and applying sandalwood tilak.
https://www.jagran.com/entertainment/bollywood-ranveer-singh-and-kriti-sanon-visits-kashi-vishwanath-temple-with-manish-malhotra-see-photos-here-23696781.html
We also found a video report on the official YouTube channel of Times Now Navbharat, uploaded on April 15, 2024, showing Ranveer Singh and Kriti Sanon at the temple. The report also featured visuals from a fashion event held in Varanasi.
- https://www.youtube.com/watch?v=OMuW_SVbfb4
Conclusion
The viral claim is misleading. The video of Ranveer Singh visiting the Kashi Vishwanath Temple is not recent. It dates back to 2024, when he visited the temple with Kriti Sanon, and is unrelated to the release or success of ‘Dhurandhar 2: The Revenge’.
Related Blogs
Executive Summary
A video is being widely shared on social media amid claims that the BJP has formed a government in West Bengal. The video shows several people being taken away in a bus while their family members are seen crying and grieving nearby. Users sharing the clip claim that the scene is from West Bengal, where the BJP government has allegedly started sending back Bangladeshis who were living illegally in the state.
Research by CyberPeace Research Wing found the viral claim to be misleading. The research revealed that the viral video has no connection with West Bengal. The video is actually from Assam’s Barpeta district, where in 2024, a Foreigners Tribunal declared 28 people as non-citizens. Following the order, authorities shifted them to a transit camp. The viral clip is from that incident. An old and unrelated video is now being falsely shared as a recent incident from West Bengal.
Claim
On May 14, 2026, a Facebook user shared the viral video and wrote, “How sad… Opposition voters are now being packed off to the Bangladesh border from Bengal and Assam. How will they ever win now? Really terrible what is happening to these poor people.” The post link, archive link, and screenshot are provided below.
- https://www.facebook.com/rajendra.kasliwal1/posts/973081982000168/
- https://archive.ph/y7Y4D
Another user also shared the same viral video on social media with a similar claim. The post link, archive link, and screenshot are given below.
Fact Check
To verify the authenticity of the viral video, we extracted several key frames and performed a reverse image search. During the research, we found the same video uploaded on a YouTube channel named Daily Salar Digital on September 5, 2024. The link to the post and its screenshot are given below.
Further research led us to a report published by IndiaTodayNE on September 3, 2024, carrying a similar description of the incident. The post link and screenshot are provided below.
Conclusion
Our research found that the viral video has no connection with West Bengal. The clip is from Assam’s Barpeta district, where in 2024, 28 people were declared non-citizens by a Foreigners Tribunal and later shifted to a transit camp by authorities. The video being shared online is from that incident. An old and unrelated video is being falsely circulated as a recent development from West Bengal.
Executive Summary:
A viral thumbnail and numerous social posts state that the government of India is giving unemployed youth ₹4,500 a month under a program labeled "PM Berojgari Bhatta Yojana." This claim has been shared on multiple online platforms.. It has given many job-seeking individuals hope, however, when we independently researched the claim, there was no verified source of the scheme or government notification.
Claim:
The viral post states: "The Central Government is conducting a scheme called PM Berojgari Bhatta Yojana in which any unemployed youth would be given ₹ 4,500 each month. Eligible candidates can apply online and get benefits." Several videos and posts show suspicious and unverified website links for registration, trying to get the general public to share their personal information.
Fact check:
In the course of our verification, we conducted a research of all government portals that are official, in this case, the Ministry of Labour and Employment, PMO India, MyScheme, MyGov, and Integrated Government Online Directory, which lists all legitimate Schemes, Programmes, Missions, and Applications run by the Government of India does not posted any scheme related to the PM Berojgari Bhatta Yojana.
Numerous YouTube channels seem to be monetizing false narratives at the expense of sentiment, leading users to misleading websites. The purpose of these scams is typically to either harvest data or market pay-per-click ads that suspend disbelief in outrageous claims.
Our research findings were backed up later by the PIB Fact Check which shared a clarification on social media. stated that: “No such scheme called ‘PM Berojgari Bhatta Yojana’ is in existence. The claim that has gone viral is fake”.
To provide some perspective, in 2021-22, the Rajasthan government launched a state-level program under the Mukhyamantri Udyog Sambal Yojana (MUSY) that provided ₹4,500/month to unemployed women and transgender persons, and ₹4000/month to unemployed males. This was not a Central Government program, and the current viral claim falsely contextualizes past, local initiatives as nationwide policy.
Conclusion:
The claim of a ₹4,500 monthly unemployment benefit under the PM Berojgari Bhatta Yojana is incorrect. The Central Government or any government department has not launched such a scheme. Our claim aligns with PIB Fact Check, which classifies this as a case of misinformation. We encourage everyone to be vigilant and avoid reacting to viral fake news. Verify claims through official sources before sharing or taking action. Let's work together to curb misinformation and protect citizens from false hopes and data fraud.
- Claim: A central policy offers jobless individuals ₹4,500 monthly financial relief
- Claimed On: Social Media
- Fact Check: False and Misleading
Introduction
The rapid rise of AI tools has reshaped how health content spreads on platforms like Instagram Reels and YouTube Shorts. These sub-minute videos promise quick fixes for weight loss, glowing skin, or reduced anxiety, often delivered through polished visuals and confident AI-generated voiceovers. The result feels highly personalised, as if the advice is tailored to each viewer, even though it is usually generic and widely recycled.
Short-form videos tend to compress complex health topics into “one tip” solutions, such as drinking a specific detox drink daily or following a single workout for rapid fat loss. While appealing, this oversimplification removes essential context, including individual health conditions, long-term risks, and scientific nuance. For example, viral diet trends or fitness hacks may work for some but can be ineffective or even harmful for others.
Algorithms play a major role in amplifying such content. Videos that promise dramatic transformations or instant results are more likely to gain engagement, which pushes them to wider audiences. Repeated exposure then builds familiarity, making the advice seem more credible over time. Audiences often trust this content due to its clean presentation, authoritative tone, and frequent repetition. However, the risks include misinformation, unrealistic expectations, and potential harm from unverified practices. To approach such content critically, viewers should cross-check claims with credible medical sources, avoid relying on single tip solutions, and remember that real health advice is rarely one size fits all.
The Illusion of Personalisation
AI-generated health content often mimics personalisation through:
- Synthetic voiceovers that designers created to match different age groups through their voice output, which speak specifically to people who are 20 years old and younger.
- The script development process uses data that tracks currently popular search terms.
- Viewers can interpret information through visual elements, which show changes between two different states.
The process of "personalisation" uses generalised data that does not match individual health profiles to create targeted results. The videos fail to provide a medical assessment because they do not consider:
- Existing medical conditions
- Hereditary differences
- Personal habits and the impact of surrounding conditions
The users will think that general medical advice applies to their personal health needs, which will lead them to use this advice inappropriately.
Short-Form Content and Oversimplification
Short-form videos have time limitations, which result in reduced complex medical information development into basic medical stories. The typical patterns of evaluation include these two patterns of evaluation include:
- “One-tip solutions” (e.g., “Drink this before bed to burn fat”)
- Binary framing (“good vs bad foods”)
- The process of eliminating all disclaimers and side effects information
For example, the three diet methods here the three diet methods here
- Viral detox drinks that make the claim to "flush toxins" from the body
- Extreme calorie-cutting diet hacks
- Fitness shortcuts that guarantee users will see results within days
The content demonstrates a pattern of disregarding essential human body operation rules that include both metabolic patterns and human body operation over extended periods of time.
Algorithmic Amplification and Virality
The recommendation algorithms used by Instagram and YouTube deliver their most important results through three main factors, which include:
- Engagement (likes, shares, watch time)
- Retention rates
- Emotional or aspirational triggers
Health-related content that claims to deliver:
- Immediate body changes
- Needs minimal work from viewers
- Results in extreme physical changes
Attractive health-related content that displays extreme physical changes through quick transformations. The system produces a continuous cycle during which:
- Misleading content gains traction
- Algorithms amplify it further
- More creators replicate similar formats using AI tools
The system produces a secondary result that favours content that people share instead of content that has authentic credibility.
Why Do Users Trust AI-Generated Health Content?
Several psychological and technological factors contribute to trust:
- Professional Aesthetics - AI tools generate high-quality visual content together with authentic voiceover performance and expert-level script documentation, which replicates professional communication methods.
- Repetition and Familiarity - When people encounter identical recommendations multiple times, their belief in those recommendations increases through the illusory truth effect.
- Authority Signals
- Medical terminology serves as a standard term
- Medical professionals appear in stock footage through lab coat visuals
- The narrator delivers information through an assertive speaking style
- Perceived Personal Relevance - Algorithmic targeting makes users feel the content is "meant for them.
Real-World Examples of Viral Trends
The typical types of health misinformation that artificial intelligence systems spread through their enhanced capabilities include:
- Diet Trends: Keto shortcuts, extreme intermittent fasting variants
- Fitness Hacks: Spot reduction exercises (scientifically unsupported)
- Supplement Advice: Unverified claims about vitamins or herbal products
- Mental Health Tips: Oversimplified coping strategies that lack clinical evidence
The statement that drinking warm lemon water will detox your liver continues to be popular despite the fact that the liver has natural self-detoxification abilities.
Risks and Public Health Implications
The widespread consumption of such content creates multiple dangers, which include:
1. Physical Health Risks
- Nutritional deficiencies from extreme diets
- Injury from improper exercise techniques
- Delayed medical consultation
2. Psychological Impact
- Unrealistic body image expectations
- Anxiety due to conflicting advice
3. Misinformation Ecosystem
- The public loses confidence in evidence-based medicine
- Unverified or pseudoscientific practices spread throughout society
Regulatory and Ethical Concerns
The increase of AI-generated health materials connects to more extensive problems, which include:
- Who is responsible for the content
- Who is responsible for the platform
- How AI systems show their inner workings to users
Most platforms today do not have strict systems that can:
- Verify medical claims
- Display which health advice comes from artificial intelligence
- Punish users who spread false information multiple times
The absence of regulations allows misleading information to spread without consequences.
A CyberPeace Perspective: Building Digital Health Resilience
The problem needs complete involvement from several parties to create effective solutions that protect both online security and data integrity.
For Users
- Users should confirm claims by using trustworthy medical resources, which include the WHO and peer-reviewed studies.
- People should avoid using "quick solutions" until they receive guidance from certified experts.
- Users should exercise caution when they encounter content that does not include necessary warning signs.
For Platforms
- Platforms should implement systems that enable users to identify AI-generated content.
- Platforms should decrease the visibility of health information that contains false statements.
- Platforms should support authentic health content producers who have been validated.
For Policymakers
- Policymakers should create standards that govern AI-produced medical content.
- Policymakers need to enhance initiatives that teach people about the health information available online.
For Content Creators
- Content creators must show how they implement AI technologies.
- They should stay away from making claims that either go beyond what is needed or state things as absolute truth.
Conclusion
AI-generated health tips on short-form video platforms create complex research conditions that involve three scientific fields: technology, psychology and public health. The tools provide equal access to information, yet create higher risks for people to believe false information when they use the tools without responsible usage.
The challenge requires organisations to maintain user safety through accurate information management while providing users with transparent digital health services. The growing dependence of users on algorithm-based content requires educational institutions to develop students' critical thinking abilities and digital skills to minimise negative effects from AI-driven communication methods.
References
- https://pmc.ncbi.nlm.nih.gov/articles/PMC12924558/
- https://academic.oup.com/heapro/article/40/2/daaf023/8100645
- https://pmc.ncbi.nlm.nih.gov/articles/PMC12673052/
- https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2025.1713794/full
- https://www.who.int/teams/digital-health-and-innovation/digital-channels/combatting-misinformation-online
- https://link.springer.com/article/10.1186/s12982-025-00777-2
- https://www.washingtonpost.com/health/2026/04/21/chatbot-medical-advice-accurate/
