#FactCheck-AI-Generated Video Falsely Shows Mishandling of Baggage at Indian Airport
Executive Summary
A video is being widely shared on social media claiming to show baggage handlers in India carelessly unloading passenger luggage from an aircraft cargo hold. The clip allegedly shows a handler ignoring standard procedures and throwing bags directly onto the tarmac instead of placing them on a motorized conveyor belt. CyberPeace Research Wing research found the video to be entirely fake. The clip has been generated using artificial intelligence (AI) and is being falsely shared as a real incident from India.
Claim
An X user, I.P. Singh (@IPSinghSp), shared the video on June 25, claiming it shows baggage handlers unloading luggage from an aircraft in India. The post criticized the alleged mishandling of passenger baggage and questioned aviation authorities over poor service standards.
The accompanying post read:
“When will the DGCA and the Civil Aviation Minister finally pay attention? Despite high airfares, this is the state of passengers’ luggage. The Ministry of Civil Aviation should learn from Japan and China how luggage should be handled.” https://x.com/IPSinghSp/status/2070164107551273109?s=20 , https://archive.ph/heiHA

Fact Check
A detailed analysis of the footage revealed multiple visual inconsistencies suggesting AI generation. Notably, even after the baggage handler seen initially tossing the luggage exits via the conveyor belt, bags continue to emerge from the cargo hold and fall onto the tarmac on their own. This physically impossible sequence strongly indicates digital manipulation. To verify these findings, the video was analyzed using the AI detection tool Hive Moderation. The results indicated that a significant portion of the footage was generated using artificial intelligence.

Conclusion
Our research confirms that the viral video is entirely fake. It has been generated using AI and is being misrepresented as a real incident from India involving baggage handling at an airport.
Related Blogs

Executive Summary:
A circulating picture which is said to be of United States President Joe Biden wearing military uniform during a meeting with military officials has been found out to be AI-generated. This viral image however falsely claims to show President Biden authorizing US military action in the Middle East. The Cyberpeace Research Team has identified that the photo is generated by generative AI and not real. Multiple visual discrepancies in the picture mark it as a product of AI.
Claims:
A viral image claiming to be US President Joe Biden wearing a military outfit during a meeting with military officials has been created using artificial intelligence. This picture is being shared on social media with the false claim that it is of President Biden convening to authorize the use of the US military in the Middle East.

Similar Post:

Fact Check:
CyberPeace Research Team discovered that the photo of US President Joe Biden in a military uniform at a meeting with military officials was made using generative-AI and is not authentic. There are some obvious visual differences that plainly suggest this is an AI-generated shot.

Firstly, the eyes of US President Joe Biden are full black, secondly the military officials face is blended, thirdly the phone is standing without any support.
We then put the image in Image AI Detection tool

The tool predicted 4% human and 96% AI, Which tells that it’s a deep fake content.
Let’s do it with another tool named Hive Detector.

Hive Detector predicted to be as 100% AI Detected, Which likely to be a Deep Fake Content.
Conclusion:
Thus, the growth of AI-produced content is a challenge in determining fact from fiction, particularly in the sphere of social media. In the case of the fake photo supposedly showing President Joe Biden, the need for critical thinking and verification of information online is emphasized. With technology constantly evolving, it is of great importance that people be watchful and use verified sources to fight the spread of disinformation. Furthermore, initiatives to make people aware of the existence and impact of AI-produced content should be undertaken in order to promote a more aware and digitally literate society.
- Claim: A circulating picture which is said to be of United States President Joe Biden wearing military uniform during a meeting with military officials
- Claimed on: X
- Fact Check: Fake

Executive Summary
A video of a soldier is being widely circulated on social media with the claim that an Indian Army Air Defence officer named Anurag Thakur resigned, alleging that soldiers martyred during “Operation Sindoor” were ignored by the government. However, research by the CyberPeace Research Wing found the claim to be false. The viral video has been manipulated with AI-generated audio and is being shared with a misleading narrative.
Claim:
Instagram users shared the clip claiming: “Indian Army Air Defence officer Anurag Thakur has resigned. He said the Government of India did not even acknowledge the deaths of soldiers.”

Fact Check:
The research began with keyword searches related to the alleged resignation of an “Indian Army Air Defence JCO Anurag Thakur.” No credible or reputed media report was found supporting such a claim. A reverse image search of a frame from the viral video led to the original footage posted by news agency ANI on its official X account on March 22, 2026. The original video runs for 1 minute and 42 seconds A comparison of both videos showed that in the viral clip, the soldier appears to be speaking in English, whereas in ANI’s authentic video, the same soldier is speaking in Hindi while addressing the media.

In the original video, shared by ANI from Bhuj, Gujarat, the JCO explained that on the morning of May 7, 2025, they learned that Indian armed forces had destroyed enemy terror launch pads, marking the beginning of “Operation Sindoor.” He said he motivated his unit and they were prepared to respond. He further stated that on May 8, an enemy drone heading toward a vital location was detected and shot down using minimal ammunition. Two more drones were sent the following day and were also neutralised. He added that “Operation Sindoor” demonstrated the capability of the Indian Army and Air Defence units.
ANI had also summarised the same remarks in English in its post, which further confirmed that the viral version had been tampered with. For additional verification, the audio from the viral clip was examined using AI-based detection tools. Hiya Deepfake Voice Detector flagged it as likely fake, while Resemble AI also identified the audio as manipulated.

Conclusion:
The viral video claiming that an Indian Army Air Defence JCO resigned over ignored martyrs of “Operation Sindoor” is false. The original footage has been altered and artificial AI-generated audio was added to create a misleading narrative.

Modern international trade heavily relies on data transfers for the exchange of digital goods and services. User data travels across multiple jurisdictions and legal regimes, each with different rules for processing it. Since international treaties and standards for data protection are inadequate, states, in an effort to protect their citizens' data, have begun extending their domestic privacy laws beyond their borders. However, this opens a Pandora's box of legal and administrative complexities for both, the data protection authorities and data processors. The former must balance the harmonization of domestic data protection laws with their extraterritorial enforcement, without overreaching into the sovereignty of other states. The latter must comply with the data privacy laws in all states where it collects, stores, and processes data. While the international legal community continues to grapple with these challenges, India can draw valuable lessons to refine the Digital Personal Data Protection Act, 2023 (DPDP) in a way that effectively addresses these complexities.
Why Extraterritorial Application?
Since data moves freely across borders and entities collecting such data from users in multiple states can misuse it or use it to gain an unfair competitive advantage in local markets, data privacy laws carry a clause on their extraterritorial application. Thus, this principle is utilized by states to frame laws that can ensure comprehensive data protection for their citizens, irrespective of the data’s location. The foremost example of this is the European Union’s (EU) General Data Protection Regulation (GDPR), 2016, which applies to any entity that processes the personal data of its citizens, regardless of its location. Recently, India has enacted the DPDP Act of 2023, which includes a clause on extraterritorial application.
The Extraterritorial Approach: GDPR and DPDP Act
The GDPR is considered the toughest data privacy law in the world and sets a global standard in data protection. According to Article 3, its provisions apply not only to data processors within the EU but also to those established outside its territory, if they offer goods and services to and conduct behavioural monitoring of data subjects within the EU. The enforcement of this regulation relies on heavy penalties for non-compliance in the form of fines up to €20 million or 4% of the company’s global turnover, whichever is higher, in case of severe violations. As a result, corporations based in the USA, like Meta and Clearview AI, have been fined over €1.5 billion and €5.5 million respectively, under the GDPR.
Like the GDPR, the DPDP Act extends its jurisdiction to foreign companies dealing with personal data of data principles within Indian territory under section 3(b). It has a similar extraterritorial reach and prescribes a penalty of up to Rs 250 crores in case of breaches. However, the Act or DPDP Rules, 2025, which are currently under deliberation, do not elaborate on an enforcement mechanism through which foreign companies can be held accountable.
Lessons for India’s DPDP on Managing Extraterritorial Application
- Clarity in Definitions: GDPR clearly defines ‘personal data’, covering direct information such as name and identification number, indirect identifiers like location data, and, online identifiers that can be used to identify the physical, physiological, genetic, mental, economic, cultural, or social identity of a natural person. It also prohibits revealing special categories of personal data like religious beliefs and biometric data to protect the fundamental rights and freedoms of the subjects. On the other hand, the DPDP Act/ Rules define ‘personal data’ vaguely, leaving a broad scope for Big Tech and ad-tech firms to bypass obligations.
- International Cooperation: Compliance is complex for companies due to varying data protection laws in different countries. The success of regulatory measures in such a scenario depends on international cooperation for governing cross-border data flows and enforcement. For DPDP to be effective, India will have to foster cooperation frameworks with other nations.
- Adequate Safeguards for Data Transfers: The GDPR regulates data transfers outside the EU via pre-approved legal mechanisms such as standard contractual clauses or binding corporate rules to ensure that the same level of protection applies to EU citizens’ data even when it is processed outside the EU. The DPDP should adopt similar safeguards to ensure that Indian citizens’ data is protected when processed abroad.
- Revised Penalty Structure: The GDPR mandates a penalty structure that must be effective, proportionate, and dissuasive. The supervisory authority in each member state has the power to impose administrative fines as per these principles, up to an upper limit set by the GDPR. On the other hand, the DPDP’s penalty structure is simplistic and will disproportionately impact smaller businesses. It must take into regard factors such as nature, gravity, and duration of the infringement, its consequences, compliance measures taken, etc.
- Governance Structure: The GDPR envisages a multi-tiered governance structure comprising of
- National-level Data Protection Authorities (DPAs) for enforcing national data protection laws and the GDPR,
- European Data Protection Supervisor (EDPS) for monitoring the processing of personal data by EU institutions and bodies,
- European Commission (EC) for developing GDPR legislation
- European Data Protection Board (EDPB) for enabling coordination between the EC, EDPS, and DPAs
In contrast, the Data Protection Board (DPB) under DPDP will be a single, centralized body overseeing compliance and enforcement. Since its members are to be appointed by the Central Government, it raises questions about the Board’s autonomy and ability to apply regulations consistently. Further, its investigative and enforcement capabilities are not well defined.
Conclusion
The protection of the human right to privacy ( under the International Covenant on Civil and Political Rights and the Universal Declaration of Human Rights) in today’s increasingly interconnected digital economy warrants international standard-setting on cross-border data protection. In the meantime, States relying on the extraterritorial application of domestic laws is unavoidable. While India’s DPDP takes measures towards this, they must be refined to ensure clarity regarding implementation mechanisms. They should push for alignment with data protection laws of other States, and account for the complexity of enforcement in cases involving extraterritorial jurisdiction. As India sets out to position itself as a global digital leader, a well-crafted extraterritorial framework under the DPDP Act will be essential to promote international trust in India’s data governance regime.
Sources
- https://gdpr-info.eu/art-83-gdpr/
- https://gdpr-info.eu/recitals/no-150/
- https://gdpr-info.eu/recitals/no-51/
- https://www.meity.gov.in/static/uploads/2024/06/2bf1f0e9f04e6fb4f8fef35e82c42aa5.pdf
- https://www.eqs.com/compliance-blog/biggest-gdpr-fines/#:~:text=ease%20the%20burden.-,At%20a%20glance,In%20summary
- https://gdpr-info.eu/art-3-gdpr/
- https://www.legal500.com/developments/thought-leadership/gdpr-v-indias-dpdpa-key-differences-and-compliance-implications/#:~:text=Both%20laws%20cover%20'personal%20data,of%20personal%20data%20as%20sensitive.