#FactCheck - Viral Video Claiming UK PM Keir Starmer Was Thrown Out of a Pub Is Misleading
Team CyberPeace
CyberPeace
PUBLISHED ON
Jan 15, 2026
10
A video circulating on social media claims that British Prime Minister Keir Starmer was forcibly thrown out of a pub by its owner. The clip has been widely shared by users, many of whom are drawing political comparisons and questioning democratic norms. However, research conducted by Cyber Peace Foundation has found that the viral claim is misleading. Our research reveals that the video dates back to 2021, a time when Keir Starmer was not the Prime Minister of the United Kingdom, but the leader of the opposition Labour Party.
Claim
On January 12, 2026, a video was shared on social media platform X (formerly Twitter) with the claim that British Prime Minister Sir Keir Starmer was asked to leave a pub by its owner. The post suggests that the pub owner was unhappy with Starmer’s performance and contrasts the incident with how political dissent is allegedly handled in India. The viral video, approximately 32 seconds long, shows a man angrily confronting Keir Starmer in English, stating that he had supported the Labour Party all his life but was disappointed with Starmer’s leadership. The man is then heard asking Starmer to leave the pub.
Links to the viral post and its archived version were reviewed as part of the research.
To verify the claim, we extracted key frames from the viral video and conducted a Google reverse image search. During this process, we found the same video posted on an X account on April 19, 2021.The visuals in the 2021 post matched the viral video exactly, clearly indicating that the footage is not recent.The original post described the incident as an event involving Labour Party leader Keir Starmer during his visit to the Raven pub in Bath, and included a warning about strong language used by the pub owner, Rod Humphries. Here is the link to the original video, along with a screenshot:
Further keyword searches led us to a report published by NBC News on April 19, 2021. According to the report, Keir Starmer, then the leader of the UK’s opposition Labour Party, was confronted and asked to leave a pub in the city of Bath. The pub owner reportedly accused Starmer of failing to oppose COVID-19 lockdown measures strongly enough at a time when strict restrictions were in place across the UK.
We also verified who held the office of British Prime Minister in 2021. Official UK government records confirm that Boris Johnson was the Prime Minister at that time, while Keir Starmer served as the Leader of the Opposition.
Our research confirms that the viral video is old and misleadingly presented. The footage is from 2021, when Keir Starmer was not the Prime Minister of the United Kingdom, but the opposition Labour Party leader. Sharing the video with the claim that it shows a current British Prime Minister being thrown out of a pub is factually incorrect.
An image has been spread on social media about the truck carrying money and gold coins impounded by Jharkhand Police that also during lok sabha elections in 2024. The Research Wing, CyberPeace has verified the image and found it to be generated using artificial intelligence. There are no credible news articles supporting claims about the police having made such a seizure in Jharkhand. The images were checked using AI image detection tools and proved to be AI made. It is advised to share any image or content after verifying its authenticity.
Claims:
The viral social media post depicts a truck intercepted by the Jharkhand Police during the 2024 Lok Sabha elections. It was claimed that the truck was filled with large amounts of cash and gold coins.
On receiving the posts, we started with keyword-search to find any relevant news articles related to this post. If such a big incident really happened it would have been covered by most of the media houses. We found no such similar articles. We have closely analysed the image to find any anomalies that are usually found in AI generated images. And found the same.
The texture of the tree in the image is found to be blended. Also, the shadow of the people seems to be odd, which makes it more suspicious and is a common mistake in most of the AI generated images. If we closely look at the right hand of the old man wearing white attire, it is clearly visible that the thumb finger is blended with his apparel.
We then analysed the image in an AI image detection tool named ‘Hive Detector’. Hive Detector found the image to be AI-generated.
To validate the AI fabrication, we checked with another AI image detection tool named ‘ContentAtScale AI detection’ and it detected the image as 82% AI. Generated.
After validation of the viral post using AI detection tools, it is apparent that the claim is misleading and fake.
Conclusion:
The viral image of the truck impounded by Jharkhand Police is found to be fake and misleading. The viral image is found to be AI-generated. There has been no credible source that can support the claim made. Hence, the claim made is false and misleading. The Research Wing, CyberPeace previously debunked such AI-generated images with misleading claims. Netizens must verify such news that circulates in Social Media with bogus claims before sharing it further.
Claim: The photograph shows a truck intercepted by Jharkhand Police during the 2024 Lok Sabha elections, which was allegedly loaded with huge amounts of cash and gold coins.
Claimed on: Facebook, Instagram, X (Formerly known as Twitter)
A video is widely circulating on social media in which Israel’s Prime Minister Benjamin Netanyahu appears to praise India’s Prime Minister Narendra Modi. The viral clip is being shared with the claim that during a speech delivered on February 25, 2026, Netanyahu announced a special aid package for Afghanistan at the request of PM Modi. However, research by CyberPeace found the claim to be false. The research revealed that the circulating video was generated using artificial intelligence. The probe also confirmed that Netanyahu did not make any announcement related to Afghanistan or the Taliban during the speech.
Claim
On March 1, 2026, a social media user shared the viral video on Facebook claiming that Netanyahu praised PM Modi and announced a special assistance package for Afghanistan following India’s request. The links to the post and its archive are provided below, along with a screenshot.
To verify the claim, we first searched Google using relevant keywords. However, we did not find any credible media reports supporting the claim that Israel had announced such an aid package for Afghanistan. Next, we extracted key frames from the viral video and performed a reverse image search using Google Lens. During this process, we found the original video on the YouTube channel of VERTEX, which had been uploaded on February 25, 2026.
A detailed review of the original video revealed that the viral clip circulating on social media is not part of the original footage. This indicates that the circulating clip has been manipulated and shared with a misleading claim. In the original video, Netanyahu was addressing a special parliamentary session in Jerusalem, where he spoke about the growing trade, strategic cooperation, and strengthening diplomatic relations between India and Israel. He described the partnership between the two democracies as a significant and historic milestone in bilateral relations. Upon carefully listening to the viral clip, we noticed irregularities in the voice and tone, which raised suspicions that it might be AI-generated. We then analyzed the video using the AI detection tool TruthScan. The results indicated that the viral video has approximately a 75% probability of being AI-generated.
Conclusion
Our research found that the viral video was created using artificial intelligence. Moreover, Israel’s Prime Minister Benjamin Netanyahu did not make any announcement regarding Afghanistan or the Taliban during the speech being referenced. The claim circulating on social media is therefore false.
Over the past decade, India has experienced a rapid digitalisation process. The rise of digital financial services, affordable internet costs, and the penetration of smartphones have transformed the way people communicate, transact and do business online.
Online payment systems, including Unified Payments Interface (UPI), have enabled real-time transactions between banks and financial systems. As much as these systems have enhanced access to finance and efficiency, they have also created new opportunities for cybercriminals.
Cybercrime has evolved alongside the shift of financial and social interactions to digital platforms. The fraud attacks on online payments, online banking, and personal information have become common and increasingly costly.
To analyse the scale and trend of cybercrime in India, this analysis will use the datasets released by the National Crime Records Bureau (NCRB) and financial fraud data released by the Indian Cyber Crime Coordination Centre (I4C) under the Ministry of Home Affairs.
The data released by the NCRB documents cybercrime incidents registered by the police at the national level under the Information Technology Act, 2000 (IT Act) and criminal provisions covering offences such as cheating, impersonation, and digital fraud. In the past, the offences were listed in the provisions of the Indian Penal Code (IPC). Following criminal law reforms in India, on 1 July 2024, the Bharatiya Nyaya Sanhita (BNS), which replaced the IPC, came into force. Section 419 (cheating by impersonation), IPC, would be related to BNS Section 319 and Section 420 (cheating and dishonestly inducing delivery of property), which would be related to BNS Section 318(4). Similarly, crimes involving forgery and use of forged documents or electronic documents, which were previously contained in the IPC Sections 465-471, are dealt with in BNS Sections 335-340.
The data published by the NCRB represent the number of crimes that reached the point of the First Information Report (FIR) registration, meaning they reflect only cybercrime cases that were formally presented to the law enforcement system to investigate, rather than all complaints reported. The data shows that cybercrime cases increased from 27,248 in 2018 to 86,420 in 2023, a 3.17-fold increase in 5 years.
Two structural shifts are visible: the post-pandemic jump and subsequent acceleration.
However, these figures likely underestimate the true scale of cybercrime because many incidents are reported only through online complaint portals and may not result in FIR registration.
This dataset tracks financial fraud complaints reported through the National Cyber Crime Reporting Portal (NCRP) and the estimated financial losses associated with those complaints.
The financial losses reported between 2021 and 2024 increased by 41 times over four years, compared to 2021, from 551 crore to 22,848 crore. At the same time, the number of complaints rose from 262,846 to over 1.9 million, an increase of ~623%, indicating both rising victimisation and greater public awareness of reporting mechanisms.
The contrast between these two trends is striking:
While complaints increased by around 7 times, financial losses increased by over 40 times.
Distribution of Cyber-Fraud Complaints and Financial Losses by Fraud Type
This divergence implies an uneven relationship between the number of incidents and the financial damage that they inflict. Most cyber fraud incidents involve relatively small transaction values; however, a smaller group of fraud categories result in disproportionate numbers of financial losses.
Distribution of Financial Losses Across Major Cyber-Fraud Categories in India
As reported by The Indian Express, based on the data compiled by the I4C, investment-related scams alone account for roughly 77% of reported cyber-fraud losses, followed by smaller shares from “digital arrest” scams (8%), credit card fraud (7%), sextortion (4%), e-commerce fraud (3%), and malware or app-based fraud (1%). This distribution means that even though scams with lower values, like phishing, OTP fraud, and small payment fraud, produce a high proportion of complaints, few categories of fraud produce most of the financial losses.
Analysis
1. Cybercrime is expanding faster than most traditional crimes: The fact that cybercrime cases have tripled in five years shows that cyber offences are presently becoming a significant element of Indian crime. Unlike conventional crimes that require physical proximity, cybercrime can be conducted remotely and at scale, enabling perpetrators to target large numbers of victims simultaneously.
2. Financial losses are concentrated in a small set of fraud categories: As cases of cybercrimes have been on the increase, the monetary losses of digital fraud cases have been increasing at a higher rate. The fact that the number of reported financial losses has increased 40 times in 4 years indicates that cybercrime has a very high economic impact.
3. Complaint volumes and financial damage follow different patterns: When comparing complaints and financial losses, it is evident that cyber fraud losses are unevenly distributed across types of incidents. Most of the prevalent scams reported, including phishing or OTP fraud, involve relatively small transaction values but yield a high portion of complaints. Conversely, fewer categories of fraud, especially investment-based schemes, contribute a significantly higher percentage of total financial losses.
4. Digital financial infrastructure has expanded the attack surface: India’s rapid adoption of digital payment systems, mobile banking and digital financial systems has dramatically increased the number of potential victims of cybercriminals. The scale of online transactions creates new vulnerabilities that organised cybercrime networks take advantage of.
5. Reporting improvements reveal previously hidden crime: The expansion of national reporting systems has enhanced the transparency in the trends of cybercrime. The increase in the number of complaints recorded is partially due to improved reporting systems and not necessarily to the increased criminal activity, meaning that previous data might have understated the magnitude of cyber fraud.
Recommendations
1. Move from reactive policing to proactive cyber-risk monitoring: The conventional models of policing focus on investigation of crimes that have already taken place. With such a magnitude and pace of cyber fraud, India should have systems that are designed to detect and prevent the fraud at its early stages, such as real-time observation of suspicious patterns in transactions by financial institutions.
2. Strengthen financial intelligence sharing across institutions: There are a lot of instances of cyber fraud that use more than one bank, payment system, and telecommunication provider. To detect new networks of fraud sooner, it can be suggested to establish more information-sharing measures between the financial institution and law enforcement agencies.
3. Target organised cyber fraud networks rather than individual incidents: Many digital scams operate through organised networks that coordinate phishing, mule accounts, and fake payment channels. The solution in regard to this involves dismantling these networks through investigative procedures instead of treating incidents on a case-by-case basis.
4. Improve recovery mechanisms for stolen funds: The recovery of the funds lost is one of the most difficult issues in cases of cyber fraud. Expanding systems such as the Citizen Financial Cyber Fraud Reporting and Management System (CFCFRMS) can improve the speed at which fraudulent transactions are frozen or reversed.
5. Strengthen digital financial literacy: A significant percentage of cyber frauds are based on social engineering methods that take advantage of user behaviour as opposed to technical weaknesses. Victimisation can be greatly reduced through specific public awareness efforts on typical scam schemes.
Conclusion
India’s experience illustrates a broader global trend: as economies digitise, crime increasingly follows the flow of digital money. While cybercrime incidents are rising steadily, the much faster growth in financial losses suggests that cybercriminals are becoming more organised, technologically sophisticated, and economically motivated.
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