#FactCheck-Mosque fire in India? False, it's from Indonesia
Executive Summary:
A social media viral post claims to show a mosque being set on fire in India, contributing to growing communal tensions and misinformation. However, a detailed fact-check has revealed that the footage actually comes from Indonesia. The spread of such misleading content can dangerously escalate social unrest, making it crucial to rely on verified facts to prevent further division and harm.
Claim:
The viral video claims to show a mosque being set on fire in India, suggesting it is linked to communal violence.
Fact Check
The investigation revealed that the video was originally posted on 8th December 2024. A reverse image search allowed us to trace the source and confirm that the footage is not linked to any recent incidents. The original post, written in Indonesian, explained that the fire took place at the Central Market in Luwuk, Banggai, Indonesia, not in India.
Conclusion: The viral claim that a mosque was set on fire in India isn’t True. The video is actually from Indonesia and has been intentionally misrepresented to circulate false information. This event underscores the need to verify information before spreading it. Misinformation can spread quickly and cause harm. By taking the time to check facts and rely on credible sources, we can prevent false information from escalating and protect harmony in our communities.
- Claim: The video shows a mosque set on fire in India
- Claimed On: Social Media
- Fact Check: False and Misleading
Related Blogs
Executive Summary:
A video showing poor runway visibility from inside an aircraft cockpit is being widely shared on social media, linking it to an alleged aircraft accident involving Maharashtra Deputy Chief Minister Ajit Pawar in Baramati on January 28, 2025. Users claim that the footage captured the final moments before the crash, suggesting that the runway visibility disappeared just seconds before landing. However, research conducted by the CyberPeace found the viral claim to be misleading. The research revealed that the video has no connection to any aircraft accident involving Deputy Chief Minister Ajit Pawar. In reality, the video dates back to 2013 and shows a pilot attempting to land an aircraft amid heavy rain. During the approach, the runway briefly disappears from the pilot’s view, prompting the pilot to abort the landing and execute a go-around. The aircraft later lands safely after weather conditions improve.
Claim
An Instagram user shared the viral video on January 29, 2026, claiming:“Baramati plane crash: video of the aircraft accident surfaces. Runway disappears just three seconds before landing.” (The link to the post, its archived version, and screenshots are provided below.)
Fact Check
To verify the claim, we extracted keyframes from the viral video and conducted a reverse image search using Google Lens. The search led us to the same video uploaded on a YouTube channel named douglesso, which was published on June 12, 2013. (Footage link and screenshot available below.)
Further research led us to a report published by the American media website CNET, which featured the same visual. According to the report, the video shows a Boeing Business Jet attempting to land during heavy rainfall. The aircraft was conducting a CAT I Instrument Landing System (ILS) approach when a sudden downpour drastically reduced visibility at decision height. As the runway briefly disappeared from view, the pilots aborted the landing and carried out a go-around. The aircraft later landed safely once weather conditions improved. (The link to the CNET report and its screenshot are provided below.)
- https://www.cnet.com/culture/this-is-what-happens-when-a-plane-is-landing-and-the-runway-disappears/
Conclusion
Our research confirms that the video circulating on social media is unrelated to any recent aircraft accident involving Maharashtra Deputy Chief Minister Ajit Pawar. The clip is an old video from 2013, which is now being shared with a false and misleading claim.
Executive Summary:
Social media has been overwhelmed by a viral post that claims Indian Railways is beginning to install solar panels directly on railway tracks all over the country for renewable energy purposes. The claim also purports that India will become the world's first country to undertake such a green effort in railway systems. Our research involved extensive reverse image searching, keyword analysis, government website searches, and global media verification. We found the claim to be completely false. The viral photos and information are all incorrectly credited to India. The images are actually from a pilot project by a Swiss start-up called Sun-Ways.
Claim:
According to a viral post on social media, Indian Railways has started an all-India initiative to install solar panels directly on railway tracks to generate renewable energy, limit power expenses, and make global history in environmentally sustainable rail operations.
Fact check:
We did a reverse image search of the viral image and were soon directed to international media and technology blogs referencing a project named Sun-Ways, based in Switzerland. The images circulated on Indian social media were the exact ones from the Sun-Ways pilot project, whereby a removable system of solar panels is being installed between railway tracks in Switzerland to evaluate the possibility of generating energy from rail infrastructure.
We also thoroughly searched all the official Indian Railways websites, the Ministry of Railways news article, and credible Indian media. At no point did we locate anything mentioning Indian Railways engaging or planning something similar by installing solar panels on railway tracks themselves.
Indian Railways has been engaged in green energy initiatives beyond just solar panel installation on program rooftops, and also on railway land alongside tracks and on train coach roofs. However, Indian Railways have never installed solar panels on railway tracks in India. Meanwhile, we found a report of solar panel installations on the train launched on 14th July 2025, first solar-powered DEMU (diesel electrical multiple unit) train from the Safdarjung railway station in Delhi. The train will run from Sarai Rohilla in Delhi to Farukh Nagar in Haryana. A total of 16 solar panels, each producing 300 Wp, are fitted in six coaches.
We also found multiple links to support our claim from various media links: Euro News, World Economy Forum, Institute of Mechanical Engineering, and NDTV.
Conclusion:
After extensive research conducted through several phases including examining facts and some technical facts, we can conclude that the claim that Indian Railways has installed solar panels on railway tracks is false. The concept and images originate from Sun-Ways, a Swiss company that was testing this concept in Switzerland, not India.
Indian Railways continues to use renewable energy in a number of forms but has not put any solar panels on railway tracks. We want to highlight how important it is to fact-check viral content and other unverified content.
- Claim: India’s solar track project will help Indian Railways run entirely on renewable energy.
- Claimed On: Social Media
- Fact Check: False and Misleading
.webp)
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
