#FactCheck: AI-Generated Image Falsely Shared as Delhi Police Dragging Woman Protester
Executive Summary
The Cockroach Janata Party had called for a protest on October 10, demanding the resignation of Chief Election Commissioner Gyanesh Kumar. Before the protest could take place, Delhi Police detained thousands of supporters. During the incident, several allegations of misconduct by Delhi Police personnel against women protesters and journalists also emerged. CyberPeace Research found that such allegations against Delhi Police had indeed been reported. However, this image is AI-generated.
Claim
Some images are being shared on social media with the claim that Delhi Police personnel held and dragged women protesters in an inappropriate manner. The first image shows a police personnel dragging a woman by her legs. The caption reads, “Things have crossed all limits in Delhi. Atrocities against women.”
https://ghostarchive.org/archive/1LyAy
Fact Check
Upon closely examining the viral images, we found that the woman depicted in both photographs appears to be the same. However, it seems implausible that the woman’s clothing would change in the middle of a protest.We then examined both images using OpenAI’s verification tool. The tool clearly indicated that both photographs were generated using artificial intelligence (AI).
Conclusion
Our research found that such allegations against Delhi Police were indeed reported. However, the viral image is AI-generated.
Related Blogs
Executive Summary
During the Gau Raksha Yatra of Shankaracharya Swami Avimukteshwaranand Saraswati, bees reportedly attacked a discourse event in Rohania area of Varanasi, Uttar Pradesh. Following the incident, a picture has gone viral on social media showing bees attacking Swami Avimukteshwaranand Saraswati. Several users are sharing the image as genuine while targeting the Shankaracharya online. CyberPeace Research Wing investigated the viral image and found it to be fake. Our research revealed that the picture was created using Artificial Intelligence (AI). While it is true that a bee attack occurred during Swami Avimukteshwaranand Saraswati’s discourse program, the viral image itself is fabricated.
Claim
A Facebook user named “Sanjay Chaudhary” shared the viral image on May 15, 2026, with the caption: “Prakritik kop ka bhajan bana Shukracharya Umashankar alias Avimukteshwaranand… This Kaalnemi was delivering false sermons in Rohania, Varanasi in the name of religion… The bees from a nearby hive did not like it and collectively attacked, creating chaos. Even insects and nature no longer like the opposition’s politics disguised as Sanatan Dharma. Calling Yogi Ji Aurangzeb, Akbar and butcher is not acceptable even to nature and insects.”
Post link and archive link are given below:
- https://www.facebook.com/sanjaychaudhary073/posts/pfbid02kgts8igKDwgctz3MamECMGoGfQR5aWPTdsDgLeux3pD9jwP7ADfgNpoPfHvMb9Zul
- https://perma.cc/E6SE-BAXZ
Fact-Check
To verify the viral claim, we used Google Open Search tools and found reports related to the incident on the YouTube channel of News18 UP Uttarakhand. A report published on May 13, 2026 stated that bees attacked the discourse event during Swami Avimukteshwaranand’s Gau Raksha Yatra in Rohania, Varanasi. The incident created panic at the venue, forcing the Swami to end his discourse midway. The channel also uploaded a YouTube Shorts video related to the incident.
As part of the research, we further analyzed the viral image using AI detection tools. First, we used the tool “Sight Engine,” which indicated an 88 percent probability that the image was AI-generated.
We then examined the image using another AI detection tool called “Undetectable,” which also suggested that the photo was likely created using AI.
Conclusion
Our research found that the viral image is AI-generated. The picture was created using artificial intelligence tools. While bees did attack during Swami Avimukteshwaranand Saraswati’s Gau Raksha Yatra on May 13, 2026, the viral image circulating on social media is fictional and not real.
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Introduction
Search engines have become indispensable in our daily lives, allowing us to find information instantly by entering keywords or phrases. Using the prompt "search Google or type a URL" reflects just how seamless this journey to knowledge has become. With millions of searches conducted every second, and Google handling over 6.3 million searches per minute as of 2023 (Statista), one critical question arises: do search engines prioritise results based on user preferences and past behaviours, or are they truly unbiased?
Understanding AI Bias in Search Algorithms
AI bias is also known as machine learning bias or algorithm bias. It refers to the occurrence of biased results due to human biases that deviate from the original training data or AI algorithm which leads to distortion of outputs and creation of potentially harmful outcomes. The sources of this bias are algorithmic bias, data bias and interpretation bias which emerge from user history, geographical data, and even broader societal biases in training data.
Common biases include excluding certain groups of people from opportunities because of AI bias. In healthcare, underrepresenting data of women or minority groups can skew predictive AI algorithms. While AI helps streamline the automation of resume scanning during a search to help identify ideal candidates, the information requested and answers screened out can result in biased outcomes due to a biased dataset or any other bias in the input data.
Case in Point: Google’s "Helpful" Results and Its Impact
Google optimises results by analysing user interactions to determine satisfaction with specific types of content. This data-driven approach forms ‘filter bubbles’ by repeatedly displaying content that aligns with a user’s preferences, regardless of factual accuracy. While this can create a more personalised experience, it risks confining users to a limited view, excluding diverse perspectives or alternative viewpoints.
The personal and societal impacts of such biases are significant. At an individual level, filter bubbles can influence decision-making, perceptions, and even mental health. On a societal level, these biases can reinforce stereotypes, polarise opinions, and shape collective narratives. There is also a growing concern that these biases may promote misinformation or limit users’ exposure to diverse perspectives, all stemming from the inherent bias in search algorithms.
Policy Challenges and Regulatory Measures
Regulating emerging technologies like AI, especially in search engine algorithms, presents significant challenges due to their intricate, proprietary nature. Traditional regulatory frameworks struggle to keep up with them as existing laws were not designed to address the nuances of algorithm-driven platforms. Regulatory bodies are pushing for transparency and accountability in AI-powered search algorithms to counter biases and ensure fairness globally. For example, the EU’s Artificial Intelligence Act aims to establish a regulatory framework that will categorise AI systems based on risk and enforces strict standards for transparency, accountability, and fairness, especially for high-risk AI applications, which may include search engines. India has proposed the Digital India Act in 2023 which will define and regulate High-risk AI.
Efforts include ethical guidelines emphasising fairness, accountability, and transparency in information prioritisation. However, a complex regulatory landscape could hinder market entrants, highlighting the need for adaptable, balanced frameworks that protect user interests without stifling innovation.
CyberPeace Insights
In a world where search engines are gateways to knowledge, ensuring unbiased, accurate, and diverse information access is crucial. True objectivity remains elusive as AI-driven algorithms tend to personalise results based on user preferences and past behaviour, often creating a biased view of the web. Filter bubbles, which reinforce individual perspectives, can obscure factual accuracy and limit exposure to diverse viewpoints. Addressing this bias requires efforts from both users and companies. Users should diversify sources and verify information, while companies should enhance transparency and regularly audit algorithms for biases. Together, these actions can promote a more equitable, accurate, and unbiased search experience for all users.
References
- https://www.bbc.com/future/article/20241101-how-online-photos-and-videos-alter-the-way-you-think
- https://www.bbc.com/future/article/20241031-how-google-tells-you-what-you-want-to-hear
- https://www.ibm.com/topics/ai-bias#:~:text=In%20healthcare%2C%20underrepresenting%20data%20of,can%20skew%20predictive%20AI%20algorithms
Executive Summary
A video showing a building collapse is going viral on social media. It is being shared as footage of a tragic incident that took place in Satya Niketan, Delhi. The video is accompanied by claims that it shows the building collapse in Satya Niketan. However, a research by CyberPeace’s Research Wing found that the viral video is not from the incident in Satya Niketan, Delhi. The research revealed that the video is actually from Moradabad, Uttar Pradesh, where a building collapsed on September 5, 2026. Clear similarities were found between the viral video and visuals from the incident in Moradabad. This confirms that an old video is being shared on social media with a false context, linking it to the incident in Satya Niketan, Delhi.
Claim:
A user shared the viral video on YouTube with the caption: “Major accident in Delhi! A five-storey building collapsed.”
https://www.youtube.com/shorts/1qeW-pFoMd4
Fact Check
While investigating the viral video, we conducted a reverse image search using its keyframes. This led us to the same video, which was uploaded on an Instagram account on September 5, 2026. The text visible in the video identified the location as Moradabad, Uttar Pradesh.
https://www.instagram.com/p/Dc54OW2SOh3/
In the next stage of our research, we found the video on Republic Bharat’s Instagram channel, where it was also identified as being from Moradabad.
https://www.instagram.com/reels/Dc8XTlpgaRL/
Based on the information gathered above, a keyword search led us to a report published by Dainik Bhaskar on September 5, 2026. The report also contained visuals matching those seen in the viral video. According to the Dainik Bhaskar report, on September 5, 2026, a four-storey dilapidated building collapsed in the Mughalpura area of Moradabad amid heavy rain, triggering panic in the area. However, the administration had sealed the building a day earlier after assessing its condition. The incident took place at around 3 p.m. The building was owned by a man named Sarfaraz Ali.
In our research, we also tried to geolocate the building seen collapsing in the viral video. We found that the building was located near Guiyan Bagh on Jama Masjid Road in Moradabad. The location can be seen in the image below.
Conclusion
The evidence gathered during our research clearly establishes that the video being circulated as footage of the tragic building collapse in Satya Niketan, Delhi, is not from Delhi. Our findings show that the viral video actually captures the collapse of a dilapidated four-storey building in the Mughalpura area of Moradabad, Uttar Pradesh, on September 5, 2026, amid heavy rainfall. The video was traced to multiple sources that identified the location as Moradabad, and further verification through media reports and geolocation confirmed that the visuals correspond to the same incident. Therefore, the viral video is being shared with a false context by incorrectly linking an incident in Moradabad to the building collapse in Satya Niketan, Delhi.
