#FactCheck - Bangladesh video falsely shared as BSF arresting an infiltrator at Bengal border

‍Introduction 

‍

In September 2025, social media feeds were flooded with strikingly vintage saree-type portraits. These images were not taken by professional photographers, but AI-generated images. More than a million people turned to the "Nano Banana" AI tool of Google Gemini, uploading their ordinary selfies and watching them transform into Bollywood-style, cinematic, 1990s posters. The popularity of this trend is evident, as are the concerns of law enforcement agencies and cybersecurity experts regarding risks of infringement of privacy, unauthorised data sharing, and threats related to deepfake misuse.

‍

What is the Trend?

‍

This trend in AI sarees is created using Google Geminis' Nano Banana image-editing tool, editing and morphing uploaded selfies into glitzy vintage portraits in traditional Indian attire. A user would upload a clear photograph of a solo subject and enter prompts to generate images of cinematic backgrounds, flowing chiffon sarees, golden-hour ambience, and grainy film texture, reminiscent of classic Bollywood imagery. Since its launch, the tool has processed over 500 million images, with the saree trend marking one of its most popular uses. Photographs are uploaded to an AI system, which uses machine learning to alter the pictures according to the description specified. The transformed AI portraits are then shared by users on their Instagram, WhatsApp, and other social media platforms, thereby contributing to the viral nature of the trend.

‍

Law Enforcement Agency Warnings

‍

1. A few Indian police agencies have issued strong advisories against participation in such trends. IPS Officer VC Sajjanar warned the public: "The uploading of just one personal photograph can make greedy operators go from clicking their fingers to joining hands with criminals and emptying one's bank account." His advisory had further warned that sharing personal information through trending apps can lead to many scams and fraud.
2. Jalandhar Rural Police issued a comprehensive warning stating that such applications put the user at risk of identity theft and online fraud when personal pictures are uploaded. A senior police officer stated: "Once sensitive facial data is uploaded, it can be stored, analysed, and even potentially misused to open the way for cyber fraud, impersonation, and digital identity crimes.

‍

The Cyber Crime Police also put out warnings on social media platforms regarding how photo applications appear entertaining but can pose serious risks to user privacy. They specifically warned that selfies uploaded can lead to data misuse, deepfake creation, and the generation of fake profiles, which are punishable under Sections 66C and 66D of the IT Act 2000.

‍

Consequences of Such Trends

‍

The massification of AI photo trends has several severe effects on private users and society as a whole. Identity fraud and theft are the main issues, as uploaded biometric information can be used by hackers to generate imitated identities, evading security measures or committing financial fraud. The facial recognition information shared by means of these trends remains a digital asset that could be abused years after the trend has passed. ‘Deepfake’ production is another tremendous threat because personal images shared on AI platforms can be utilised to create non-consensual artificial media. Studies have found that more than 95,000 deepfake videos circulated online in 2023 alone, a 550% increase from 2019. The images uploaded can be leveraged to produce embarrassing or harmful content that can cause damage to personal reputation, relationships, and career prospects.

‍

Financial exploitation is also when fake applications in the guise of genuine AI tools strip users of their personal data and financial details. Such malicious platforms tend to look like well-known services so as to trick users into divulging sensitive information. Long-term privacy infringement also comes about due to the permanent retention and possible commercial exploitation of personal biometric information by AI firms, even when users close down their accounts.

‍

Privacy Risks

‍

A few months ago, the Ghibli trend went viral, and now this new trend has taken over. Such trends may subject users to several layers of privacy threats that go far beyond the instant gratification of taking pleasing images. Harvesting of biometric data is the most critical issue since facial recognition information posted on these sites becomes inextricably linked with user identities. Under Google's privacy policy for Gemini tools, uploaded images might be stored temporarily for processing and may be kept for longer periods if used for feedback purposes or feature development. 

Illegal data sharing happens when AI platforms provide user-uploaded content to third parties without user consent. A Mozilla Foundation study in 2023 discovered that 80% of popular AI apps had either non-transparent data policies or obscured the ability of users to opt out of data gathering. This opens up opportunities for personal photographs to be shared with anonymous entities for commercial use. Exploitation of training data includes the use of personal photos uploaded to enhance AI models without notifying or compensating users. Although Google provides users with options to turn off data sharing within privacy settings, most users are ignorant of these capabilities. Integration of cross-platform data increases privacy threats when AI applications use data from interlinked social media profiles, providing detailed user profiles that can be taken advantage of for purposeful manipulation or fraud. Inadequacy of informed consent continues to be a major problem, with users engaging in trends unaware of the entire context of sharing information. Studies show that 68% of individuals show concern regarding the misuse of AI app data, but 42% use these apps without going through the terms and conditions.

‍

CyberPeace Expert Recommendations

‍

While the Google Gemini image trend feature operates under its own terms and conditions, it is important to remember that many other tools and applications allow users to generate similar content. Not every platform can be trusted without scrutiny, so users who engage in such trends should do so only on trustworthy platforms and make reliable, informed choices. Above all, following cybersecurity best practices and digital security principles remains essential.

‍

Here are some best practices:-

‍

1.Immediate Protection Measures for User

In a nutshell, protection of personal information may begin by not uploading high-resolution personal photos into AI-based applications, especially those trained for facial recognition. Instead, a person can play with stock images or non-identifiable pictures to the degree that it satisfies the program's creative features without compromising biometric security. Strong privacy settings should exist on every social media platform and AI app by which a person can either limit access to their data, content, or anything else.

‍

2.Organisational Safeguards

AI governance frameworks within organisations should enumerate policies regarding the usage of AI tools by employees, particularly those concerning the upload of personal data. Companies should appropriately carry out due diligence before the adoption of an AI product made commercially available for their own use in order to ensure that such a product has its privacy and security levels as suitable as intended by the company. Training should instruct employees regarding deepfake technology.

‍

3.Technical Protection Strategies

Deepfake detection software should be used. These tools, which include Microsoft Video Authenticator, Intel FakeCatcher, and Sensity AI, allow real-time detection with an accuracy higher than 95%. Use blockchain-based concepts to verify content to create tamper-proof records of original digital assets so that the method of proposing deepfake content as original remains very difficult.

‍

4.Policy and Awareness Initiatives

For high-risk transactions, especially in banks and identity verification systems, authentication should include voice and face liveness checks to ensure the person is real and not using fake or manipulated media. Implement digital literacy programs to empower users with knowledge about AI threats, deepfake detection techniques, and safe digital practices. Companies should also liaise with law enforcement, reporting purported AI crimes, thus offering assistance in combating malicious applications of synthetic media technology.

‍

5.Addressing Data Transparency and Cross-Border AI Security

Regulatory systems need to be called for requiring the transparency of data policies in AI applications, along with providing the rights and choices to users regarding either Biometric data or any other data. Promotion must be given to the indigenous development of AI pertaining to India-centric privacy concerns, assuring the creation of AI models in a secure, transparent, and accountable manner. In respect of cross-border AI security concerns, there must be international cooperation for setting common standards of ethical design, production, and use of AI. With the virus-like contagiousness of AI phenomena such as saree editing trends, they portray the potential and hazards of the present-day generation of artificial intelligence. While such tools offer newer opportunities, they also pose grave privacy and security concerns, which should have been considered quite some time ago by users, organisations, and policy-makers. Through the setting up of all-around protection mechanisms and keeping an active eye on digital privacy, both individuals and institutions will reap the benefits of this AI innovation, and they shall not fall on the darker side of malicious exploitation. 

‍

References

‍

1. https://www.hindustantimes.com/trending/amid-google-gemini-nano-banana-ai-trend-ips-officer-warns-people-about-online-scams-101757980904282.html%202
2. https://www.moneycontrol.com/news/india/viral-banana-ai-saree-selfies-may-risk-fraud-warn-jalandhar-rural-police-13549443.html
3. https://www.parliament.nsw.gov.au/researchpapers/Documents/Sexually%20explicit%20deepfakes.pdf
4. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year
5. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year
6. https://socradar.io/top-10-ai-deepfake-detection-tools-2025/

‍

Introduction

Whatsapp is one of the leading OTT messaging platforms, which has been owned by the tech giant Meta since 2013. WhatsApp enjoys a user base of nearly 2.24 billion people globally, with almost 487 million users in India. Since the advent of Whatsapp, it has been the most commonly used messaging app, and it has made an impact to such an extent that it is used for professional as well as personal purposes. Meta powers the platform and follows similar guidelines and policies as its parent company.

The New Feature

Users of WhatsApp on the web and desktop can now access one account from various devices. One WhatsApp account may now be used on up to four handsets thanks to a new update from Meta. Be aware that the multi-device capability has been planned for some time and is finally being made available to stable WhatsApp users. Each linked device (up to four devices can be linked) will function independently, and the independent devices will continue to receive messages even if the central device’s network connection is lost. Remember that WhatsApp will automatically log out of all the companion devices if the primary smartphone is dormant for an extended period. Four more gadgets may be a mix of four PCs and smartphones or four smartphones. This feature is now available for updates and downloads on Android as well as iOS platforms.

Potential issues

As we go deeper into the digital age, it is the responsibility of the tech giants to pilot innovation with features of security by design. Thus such new features should be accompanied by coherent safety and security policies or advisories to ensure the users understand the implications of the new features. Convenience over conditions is an essential part of cyberspace. It points to the civic duty of netizens to go through the conditions of any app rather than only focus on the convenience it creates. The following potential issues may arise from the new features on Whatsapp –

• Increased cybercrime- The bad actors now do not need to access SIM cards to commit frauds over the platforms as now on a single number 4 devices can be used hence the cybercriminal activity can increase over the platform. It is also pertinent for the platform to create SoPs for fake accounts which use multiple devices, as they pose a direct threat to the users and their interests.
• Difficulty in identifying and tracing- The LEAs will face a significant issue in identifying the bad actors and tracing them as the individual’s involvement through a linked device needs to be given legal validity and scope for investigation. This may also cause issues in evidence handling and analysis.
• Surge in Misinformation and Disinformation- With access to multiple devices, the screen time of an individual is also bound to increase. This leads to more time spent online, thus causing a rise in instances of misinformation and disinformation by bad actors. Thus the aspect of fack checking is of prime importance.
• Potential Oversharing of Personal Data- With the increased accessibility on different devices, it is very easy for the app to seek data from all devices on which the app is running, thus leading to a bigger reservoir of personal data for the platforms and data fiduciaries.
• Higher risk of Phishing, Ransomware and Malware Attacks- As the devices under the same login credentials and mobile number will increase, the message can be viewed on all the devices, thus increasing the risk of widespread embedded ransomware and malware in multiple devices is and ever-present threat.
• One number, more criminals- This feature will allow cybercriminals to operate using one device only, earlier they used to forge Adhaar cards to get new sims, but this feature will enable the bad actors to commit crimes and attacks from one single SIM using 4 different devices.
• Rise in Digital Footprint- As the number of devices increases, the users will generate more digital footprints. As a tech giant, Meta will have access to a bigger database, which increases the risk of data breaches by third-party actors.

Conclusion

In the fast-paced digital world, it is important to remain updated about new software, technologies and policies for our applications or forms of tech. This was a long-awaited feature from WhatsApp, and its value of it doesn’t lie in technological advancement only but also in the formulation of policies to govern this technology towards the trust and safety aspect of users. The platforms, in synergy with the policy makers, need to create a robust framework to accommodate the new features and add-ons on apps vehicle, staying in compliance with the laws of the land. Awareness about new features and vulnerabilities is a must for all netizens, and it is a shared responsibility for all netizens to spread the word about safety and security mechanisms.

Introduction

The global food industry is vast and complex, influencing consumer behaviour, policy, and health outcomes worldwide. However, misinformation within this sector is pervasive, with significant consequences for public health and market dynamics. Misinformation can arise from various sources, including misleading marketing campaigns, unsubstantiated health claims, and misrepresentation of food production practices through public endorsement or otherwise. Nutrition misinformation is one such example. The promotion of false or unproven products for profit can lead to mislead consumers and affect their interests. Misleading claims and inaccurate information about the nutritional value of food products and processes are common claims. The misinformation created about food on the global stage distorts public understanding of nutrition, food safety, and environmental impacts, leading to significant consequences for public health, consumer trust, and the economy.

Rise of Nutritional Misinformation and Consumer Distrust

Health and nutrition-related misinformation is one of the most prevalent types in the food sector. Businesses frequently advertise their products as "natural" or "healthy" without providing sufficient data to back up these claims, tricking customers into buying goods that might be heavy in fat, sugar, or salt. Words like "superfood" are frequently used without supporting evidence from science, giving the impression that they are healthier.

Misinformation also impacts the sustainability and ethics of food production. Claims of "sustainable" or "ethical" sourcing are frequently exaggerated or fabricated, leaving consumers unaware of the true environmental and social costs associated with certain products.

This lack of clarity is not only observed in general food trends but also within organisations meant to provide trustworthy information. There has been significant criticism, directed at the International Food Information Council (IFIC), for their alleged promotion of nutrition-based misinformation to safeguard the interests of large food corporations, resulting in potentially compromising public health. The preemptive claims that IFIC made about the nutritive claims have been questioned by the National Institutes of Health, USA in November 2022. They reported in their study that IFIC promotes food and beverage company interests and undermines the accurate dissemination of scientific evidence related to diet and health. This was in support of the objective of the study, which was to determine whether, there have been many claims that the nutritional value of certain foods or diets may be manipulated to favour business goals, leaving consumers misinformed about what constitutes a truly healthy diet.

Another source of misinformation is the growing ‘Free-From’ fad. The “free-from” label in the US is a food category of products that claim to be free from certain ingredients or chemicals. It has been steadily growing by 7% annually. These labels often tout products as healthier due to a simpler ingredient list. Although seemingly harmless, transparency in ingredient disclosure is often obscured in the 'free-from' trend. This can lead to consumer distrust in the long run, making them hesitant.

The Harmful Effects of Food Misinformation

The effects of misinformation about nutrition and food safety can directly affect public health.
Consumers unknowingly may accept false claims or avoid certain foods without scientific basis and adopt harmful dietary habits, potentially leading to malnutrition or other health problems. By the time the realisation sets in about being misled, their trust is eroded not only towards such companies but also towards the regulators. This distrust can lead to declining consumer confidence and disrupt market stability. 

Some food-related misinformation downplays the environmental impact that certain food production practices have. An example of such a situation is the promotion of meat alternatives as being entirely eco-friendly without considering all environmental factors. This can mislead consumers and obscure the complex environmental effects of food production systems. 

Misinformation can distort consumer purchasing habits, potentially leading to a reduced demand for certain products and unfair competition. The sufferers in this case are the small-scale producers who suffer disproportionately, while the large corporations might use this misinformation to maintain their dominance in the market. Regulatory checks, open communication, and public education campaigns are needed to combat mis/disinformation in the global food sector and enable consumers to make decisions that are sustainable, healthful and informed.

CyberPeace Recommendations

• Unfair trade practices like providing misleading information or unchecked claims on food products should be better addressed by the regulators. Companies must provide clear, transparent and accurate information about their products as mandated under the Food Safety and Standards (Advertising and Claims) Regulations, 2018. This information should include the true origins, production methods, and nutritional content on their labels.
• Promotions of initiatives and investments by public health organisations and food authorities towards educating consumers and improving food literacy should encouraged. 
• Regulating social media endorsement is also crucial to prevent the spread of misinformation and unchecked claims. Without proper due diligence on product details, influencers may unknowingly mislead their audience, causing potential harm. 
• The Social Media Platforms can partner with nutritionists, dietitians, and other health professionals who are content creators, as they can help in understanding and promoting accurate, science-based nutrition information and debunk any misleading claims.
• Campaigns should be encouraged to spread public awareness about the harms of food-related misleading claims or trends. Emphasis should be on evidence-based nutritional guidance. The ongoing research towards food safety, nutrition, and true information should be actively communicated to keep the public informed. Combating food misinformation requires more robust regulations, improved transparency, and heightened consumer awareness and vigilance.

References

• https://timesofindia.indiatimes.com/india/label-claims-on-packaged-food-could-be-misleading-icmr/articleshow/110053363.cms 
• https://www.outlookindia.com/hub4business/empowering-change-freedom-food-alliance-takes-on-global-food-industry-misinformation 
• https://insightsnow.com/misinformation-hurting-food-business/ ‍
• https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9618198/pdf/12992_2022_Article_884.pdf