#FactCheck – Elephant Falls From Truck? No, This Elephant Fall Video Is AI-Manipulated
Research Wing
Innovation and Research
PUBLISHED ON
Dec 16, 2025
10
Executive Summary:
A video circulating on social media claims to show a live elephant falling from a moving truck due to improper transportation, followed by the animal quickly standing up and reacting on a public road. The content may raise concerns related to animal cruelty, public safety, and improper transport practices. A detailed examination using AI content detection tools, visual anomaly analysis indicates that the video is not authentic and is likely AI generated or digitally manipulated.
Claim:
The viral video (archive link) shows a disturbing scene where a large elephant is allegedly being transported in an open blue truck with barriers for support. As the truck moves along the road, the elephant shifts its weight and the weak side barrier breaks. This causes the elephant to fall onto the road, where it lands heavily on its side. Shortly after, the animal is seen getting back on its feet and reacting in distress, facing the vehicle that is recording the incident. The footage may raise serious concerns about safety, as elephants are normally transported in reinforced containers, and such an incident on a public road could endanger both the animal and people nearby.
Image: The snapshot of the Viral post on X
Fact Check:
After receiving the video, we closely examined the visuals and noticed some inconsistencies that raised doubts about its authenticity. In particular, the elephant is seen recovering and standing up unnaturally quickly after a severe fall, which does not align with realistic animal behavior or physical response to such impact.
To further verify our observations, the video was analyzed using the Hive Moderation AI Detection tool, which indicated that the content is likely AI generated or digitally manipulated.
Image: AI Detection Using Hive
Additionally, no credible news reports or official sources were found to corroborate the incident, reinforcing the conclusion that the video is misleading.
Conclusion:
The claim that the video shows a real elephant transport accident is false and misleading. Based on AI detection results, observable visual anomalies, and the absence of credible reporting, the video is highly likely to be AI generated or digitally manipulated. Viewers are advised to exercise caution and verify such sensational content through trusted and authoritative sources before sharing.
Claim: The viral video shows an elephant allegedly being transported, where a barrier breaks as it moves, causing the animal to fall onto the road before quickly getting back on its feet.
A graphic widely circulating on social media claims that Union Home Minister Amit Shah has warned, “A major crisis is coming; if possible, skip one meal a day.” The claim has been found to be false in a fact-check conducted by CyberPeace Research Wing. The research revealed that Amit Shah has not made any such statement.
Claim
A Facebook user shared the viral graphic on May 17, 2026, claiming that BJP leader and Home Minister Amit Shah issued a “warning” to the public, allegedly saying people should be prepared for a major crisis and consider skipping one meal a day. The post has been widely circulated on social media, drawing significant attention and discussion.
A keyword-based search on Google did not return any credible news reports supporting the claim. Further scrutiny of the official account of the Ministry of Home Affairs on X also found no mention or statement matching the viral claim.
A video is going viral on social media linking it to the ongoing conflict between the US-Israel and Iran. The clip shows explosions on buildings and is being shared with the claim that it depicts an attack on Israel. It is further claimed that Iran targeted a nuclear site located near the sea in Israel, and this video shows that attack. However, an research by the CyberPeace found the claim to be false. The video is not from a real incident but has been created using AI.
Claim:
On social media platform X, a user shared the viral video on March 8, 2026, with the caption: “Iran attacked an Israeli nuclear site located near the sea.”
To verify the viral claim, we searched relevant keywords on Google but found no credible news reports supporting it.On closely examining the video, we observed several technical inconsistencies. The person seen in the video appears robotic, raising suspicion that the content may be AI-generated. To confirm this, we analyzed the video using AI detection tools. The tool Hive Moderation indicated that the video is approximately 97.5 percent likely to be generated using artificial intelligence.
We also used the AI detection tool Matrix.Tencent. The results suggested that the video is likely AI-generated, with around a 77 percent probability.
Conclusion:
Our research found that the viral video claiming to show an Iranian attack on Israel is AI-generated and not related to any real incident.
The advent of AI-driven deepfake technology has facilitated the creation of explicit counterfeit videos for sextortion purposes. There has been an alarming increase in the use of Artificial Intelligence to create fake explicit images or videos for sextortion.
What is AI Sextortion and Deepfake Technology
AI sextortion refers to the use of artificial intelligence (AI) technology, particularly deepfake algorithms, to create counterfeit explicit videos or images for the purpose of harassing, extorting, or blackmailing individuals. Deepfake technology utilises AI algorithms to manipulate or replace faces and bodies in videos, making them appear realistic and often indistinguishable from genuine footage. This enables malicious actors to create explicit content that falsely portrays individuals engaging in sexual activities, even if they never participated in such actions.
Background on the Alarming Increase in AI Sextortion Cases
Recently there has been a significant increase in AI sextortion cases. Advancements in AI and deepfake technology have made it easier for perpetrators to create highly convincing fake explicit videos or images. The algorithms behind these technologies have become more sophisticated, allowing for more seamless and realistic manipulations. And the accessibility of AI tools and resources has increased, with open-source software and cloud-based services readily available to anyone. This accessibility has lowered the barrier to entry, enabling individuals with malicious intent to exploit these technologies for sextortion purposes.
The proliferation of sharing content on social media
The proliferation of social media platforms and the widespread sharing of personal content online have provided perpetrators with a vast pool of potential victims’ images and videos. By utilising these readily available resources, perpetrators can create deepfake explicit content that closely resembles the victims, increasing the likelihood of success in their extortion schemes.
Furthermore, the anonymity and wide reach of the internet and social media platforms allow perpetrators to distribute manipulated content quickly and easily. They can target individuals specifically or upload the content to public forums and pornographic websites, amplifying the impact and humiliation experienced by victims.
What are law agencies doing?
The alarming increase in AI sextortion cases has prompted concern among law enforcement agencies, advocacy groups, and technology companies. This is high time to make strong Efforts to raise awareness about the risks of AI sextortion, develop detection and prevention tools, and strengthen legal frameworks to address these emerging threats to individuals’ privacy, safety, and well-being.
There is a need for Technological Solutions, which develops and deploys advanced AI-based detection tools to identify and flag AI-generated deepfake content on platforms and services. And collaboration with technology companies to integrate such solutions.
Collaboration with Social Media Platforms is also needed. Social media platforms and technology companies can reframe and enforce community guidelines and policies against disseminating AI-generated explicit content. And can ensure foster cooperation in developing robust content moderation systems and reporting mechanisms.
There is a need to strengthen the legal frameworks to address AI sextortion, including laws that specifically criminalise the creation, distribution, and possession of AI-generated explicit content. Ensure adequate penalties for offenders and provisions for cross-border cooperation.
Proactive measures to combat AI-driven sextortion
Prevention and Awareness: Proactive measures raise awareness about AI sextortion, helping individuals recognise risks and take precautions.
Early Detection and Reporting: Proactive measures employ advanced detection tools to identify AI-generated deepfake content early, enabling prompt intervention and support for victims.
Legal Frameworks and Regulations: Proactive measures strengthen legal frameworks to criminalise AI sextortion, facilitate cross-border cooperation, and impose offender penalties.
Technological Solutions: Proactive measures focus on developing tools and algorithms to detect and remove AI-generated explicit content, making it harder for perpetrators to carry out their schemes.
International Cooperation: Proactive measures foster collaboration among law enforcement agencies, governments, and technology companies to combat AI sextortion globally.
Support for Victims: Proactive measures provide comprehensive support services, including counselling and legal assistance, to help victims recover from emotional and psychological trauma.
Implementing these proactive measures will help create a safer digital environment for all.
Misuse of Technology
Misusing technology, particularly AI-driven deepfake technology, in the context of sextortion raises serious concerns.
Exploitation of Personal Data: Perpetrators exploit personal data and images available online, such as social media posts or captured video chats, to create AI- manipulation violates privacy rights and exploits the vulnerability of individuals who trust that their personal information will be used responsibly.
Facilitation of Extortion: AI sextortion often involves perpetrators demanding monetary payments, sexually themed images or videos, or other favours under the threat of releasing manipulated content to the public or to the victims’ friends and family. The realistic nature of deepfake technology increases the effectiveness of these extortion attempts, placing victims under significant emotional and financial pressure.
Amplification of Harm: Perpetrators use deepfake technology to create explicit videos or images that appear realistic, thereby increasing the potential for humiliation, harassment, and psychological trauma suffered by victims. The wide distribution of such content on social media platforms and pornographic websites can perpetuate victimisation and cause lasting damage to their reputation and well-being.
Targeting teenagers– Targeting teenagers and extortion demands in AI sextortion cases is a particularly alarming aspect of this issue. Teenagers are particularly vulnerable to AI sextortion due to their increased use of social media platforms for sharing personal information and images. Perpetrators exploit to manipulate and coerce them.
Erosion of Trust: Misusing AI-driven deepfake technology erodes trust in digital media and online interactions. As deepfake content becomes more convincing, it becomes increasingly challenging to distinguish between real and manipulated videos or images.
Proliferation of Pornographic Content: The misuse of AI technology in sextortion contributes to the proliferation of non-consensual pornography (also known as “revenge porn”) and the availability of explicit content featuring unsuspecting individuals. This perpetuates a culture of objectification, exploitation, and non-consensual sharing of intimate material.
Conclusion
Addressing the concern of AI sextortion requires a multi-faceted approach, including technological advancements in detection and prevention, legal frameworks to hold offenders accountable, awareness about the risks, and collaboration between technology companies, law enforcement agencies, and advocacy groups to combat this emerging threat and protect the well-being of individuals online.
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