#FactCheck - Misleading Viral Video Targets Rubika Liyaquat, Original Footage Tells Different Story
Executive Summary
A video circulating on social media claims that a Pakistani man misbehaved with TV anchor Rubika Liyaquat during a live television debate. Users sharing the clip alleged that the Pakistani participant silenced the anchor on live TV.
However, research by CyberPeace found the viral claim to be false and revealed that the video being shared on social media is edited. In the original video, published on YouTube on November 26, 2025, the alleged Pakistani man was not present in the TV debate.
Claim
On February 13, 2026, a user shared the viral clip on X (formerly Twitter), claiming that the anchor was insulted during the debate and was left speechless. Another user on February 11, 2026, asked News18 India to verify the video and questioned who allowed such behaviour towards the journalist on air.
Fact Check:
To verify the claim, we extracted key frames from the viral video and conducted a reverse image search using Google Lens. During the research, we found the full version of the debate uploaded on the official YouTube channel of News18 India on November 26, 2025. The nearly 40-minute original broadcast featured anchor Rubika Liyaquat along with panelists Zafar Islam, Varun Purohit, Prateek Kumar, Arvind Kumar Vajpayee, Tausif Ahmed Khan, and Aziz Khan. However, the person seen misbehaving with the anchor in the viral clip was not present in the original video.
Upon carefully reviewing the footage, we located the actual segment around the 25-minute 40-second mark. In this portion, the anchor can be heard asking panelist Tausif Ahmed Khan to leave the show, using the same words heard in the viral clip. However, the original broadcast does not feature any Pakistani participant or any individual named “Nadeem Shahzad.”
Conclusion
Our research found that the viral claim is false. The circulating video has been edited, and the alleged Pakistani participant does not appear in the original debate uploaded on November 26, 2025.
Related Blogs
AI and other technologies are advancing rapidly. This has ensured the rapid spread of information, and even misinformation. LLMs have their advantages, but they also come with drawbacks, such as confident but inaccurate responses due to limitations in their training data. The evidence-driven retrieval systems aim to address this issue by using and incorporating factual information during response generation to prevent hallucination and retrieve accurate responses.
What is Retrieval-Augmented Response Generation?
Evidence-driven Retrieval Augmented Generation (or RAG) is an AI framework that improves the accuracy and reliability of large language models (LLMs) by grounding them in external knowledge bases. RAG systems combine the generative power of LLMs with a dynamic information retrieval mechanism. The standard AI models rely solely on pre-trained knowledge and pattern recognition to generate text. RAG pulls in credible, up-to-date information from various sources during the response generation process. RAG integrates real-time evidence retrieval with AI-based responses, combining large-scale data with reliable sources to combat misinformation. It follows the pattern of:
- Query Identification: When misinformation is detected or a query is raised.
- Evidence Retrieval: The AI searches databases for relevant, credible evidence to support or refute the claim.
- Response Generation: Using the evidence, the system generates a fact-based response that addresses the claim.
How is Evidence-Driven RAG the key to Fighting Misinformation?
- RAG systems can integrate the latest data, providing information on recent scientific discoveries.
- The retrieval mechanism allows RAG systems to pull specific, relevant information for each query, tailoring the response to a particular user’s needs.
- RAG systems can provide sources for their information, enhancing accountability and allowing users to verify claims.
- Especially for those requiring specific or specialised knowledge, RAG systems can excel where traditional models might struggle.
- By accessing a diverse range of up-to-date sources, RAG systems may offer more balanced viewpoints, unlike traditional LLMs.
Policy Implications and the Role of Regulation
With its potential to enhance content accuracy, RAG also intersects with important regulatory considerations. India has one of the largest internet user bases globally, and the challenges of managing misinformation are particularly pronounced.
- Indian regulators, such as MeitY, play a key role in guiding technology regulation. Similar to the EU's Digital Services Act, the Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021, mandate platforms to publish compliance reports detailing actions against misinformation. Integrating RAG systems can help ensure accurate, legally accountable content moderation.
- Collaboration among companies, policymakers, and academia is crucial for RAG adaptation, addressing local languages and cultural nuances while safeguarding free expression.
- Ethical considerations are vital to prevent social unrest, requiring transparency in RAG operations, including evidence retrieval and content classification. This balance can create a safer online environment while curbing misinformation.
Challenges and Limitations of RAG
While RAG holds significant promise, it has its challenges and limitations.
- Ensuring that RAG systems retrieve evidence only from trusted and credible sources is a key challenge.
- For RAG to be effective, users must trust the system. Sceptics of content moderation may show resistance to accepting the system’s responses.
- Generating a response too quickly may compromise the quality of the evidence while taking too long can allow misinformation to spread unchecked.
Conclusion
Evidence-driven retrieval systems, such as Retrieval-Augmented Generation, represent a pivotal advancement in the ongoing battle against misinformation. By integrating real-time data and credible sources into AI-generated responses, RAG enhances the reliability and transparency of online content moderation. It addresses the limitations of traditional AI models and aligns with regulatory frameworks aimed at maintaining digital accountability, as seen in India and globally. However, the successful deployment of RAG requires overcoming challenges related to source credibility, user trust, and response efficiency. Collaboration between technology providers, policymakers, and academic experts can foster the navigation of these to create a safer and more accurate online environment. As digital landscapes evolve, RAG systems offer a promising path forward, ensuring that technological progress is matched by a commitment to truth and informed discourse.
References
- https://experts.illinois.edu/en/publications/evidence-driven-retrieval-augmented-response-generation-for-onlin
- https://research.ibm.com/blog/retrieval-augmented-generation-RAG
- https://medium.com/@mpuig/rag-systems-vs-traditional-language-models-a-new-era-of-ai-powered-information-retrieval-887ec31c15a0
- https://www.researchgate.net/publication/383701402_Web_Retrieval_Agents_for_Evidence-Based_Misinformation_Detection
Executive Summary
Amid the ongoing war between the United States–Israel alliance and Iran since February 28, 2026, two videos are going viral across social media platforms. The clips show people running in panic, with visuals suggesting a large-scale attack. Users are sharing these videos with the claim that they depict Iran’s recent strikes on Israel. However, a research by the CyberPeace has found both claims to be false. The viral posts are misleading, as the videos are actually from the 9/11 terrorist attacks on the World Trade Center in New York, United States. They have no connection to the current conflict involving Iran or Israel.
Claim
A Facebook page titled ‘Bihar Ko Nihar’ shared one of the videos on March 25, 2026, with the caption: “Iran has launched its most powerful attack on Israel so far. Thousands of soldiers are reported dead, triggering massive protests within the country, and Israel appears completely helpless.” Similarly, another video is being circulated with the false claim that Iran has launched a missile attack on the United States.
The above claims are being widely shared by multiple users across different social media platforms. Archived versions of these posts are also available.
- https://www.facebook.com/reel/4317571078525937
- https://www.facebook.com/reel/1485000739860984
- https://perma.cc/E98R-A4CT
Fact Check
To verify the authenticity of the videos, keyframes were extracted and analyzed using Google Lens. The first viral clip was traced back to a YouTube video uploaded on September 11, 2007, by a channel named ‘Jumperwtc’, which clearly identifies the footage as being from the World Trade Center attacks in the United States. This confirms that the viral video is a segment from that older footage.
For the second video, reverse image searches led to a report published on CBS8.com on September 10, 2021, where the same visuals were found. Further reesearch revealed that the footage also appears in a video uploaded on September 11, 2021, by the YouTube channel ‘CBS 8 San Diego’. The viral segment can be seen around the 1:11 timestamp in that video.
Conclusion
Both viral videos being shared as recent attacks by Iran on Israel or the United States are actually old clips from the 9/11 attacks on the World Trade Center in New York. The claims are false, and the videos are unrelated to the ongoing conflict in West Asia.
Executive Summary
A video purportedly showing Italian Prime Minister Giorgia Meloni angrily addressing a room full of delegates before throwing a bundle of papers and storming out has gone viral on social media. The clip is being shared alongside claims that Meloni terminated all agreements with Israel following growing tensions over the conflict in the Middle East. However, CyberPeace Research Wing research found that the viral video is not authentic. The clip was generated using Artificial Intelligence (AI).
Claim
On April 24, 2026, an X user shared the viral video with the caption:“Italy's woman Prime Minister has terminated all agreements with Israel!! Italy's woman Prime Minister is far more courageous and fearless than the leaders of 56 Islamic nations.”
- https://x.com/middle_East_up/status/2047597154257297878?s=20
- https://perma.cc/4EM9-5GS4
Fact Check
To verify the claim, we examined official records related to agreements between Italy and Israel. Data available from the Italian Ministry of Foreign Affairs and International Cooperation shows that multiple bilateral agreements between the two countries remain in force in 2026.
- https://atrio.esteri.it/Home/Search
Further research found reports related to discussions within the European Union regarding the suspension of certain cooperation arrangements with Israel. During a meeting of EU foreign ministers in Luxembourg, Spain and Ireland renewed calls to review the EU-Israel Association Agreement. However, Italian Foreign Minister Antonio Tajani reportedly stated that no decision would be taken that day. A closer examination of the viral clip revealed several visual inconsistencies commonly associated with AI-generated content, including unnatural facial movements, irregular body gestures, and unrealistic scene transitions.
To further verify the footage, we analysed it using the DeepFake-o-Meter tool. Results from three separate detection models indicated that the video was likely generated using artificial intelligence.
Conclusion
CyberPeace Research Wing research found that the viral video allegedly showing Italian Prime Minister Giorgia Meloni angrily terminating agreements with Israel is AI-generated. There is no evidence that the incident shown in the clip actually occurred.
