#FactCheck - AI-Generated Image Falsely Shows Mohammed Siraj Offering Namaz During Net Practice

Introduction

‍

Misinformation is no longer a challenge limited to major global platforms or widely spoken languages. In India and many other countries, false information is increasingly disseminated through local and vernacular languages, allowing it to reach communities more directly and intimately. While regional language content has played a crucial role in expanding access to information, it has also emerged as a powerful driver of misinformation by bad actors, and it often becomes harder to detect and counter. The challenge of local language misinformation is not merely digital in nature; it is deeply social, cultural, and shaped by specific local contexts.

‍

Why Local-Language Misinformation Is More Impactful

‍

A person’s mother tongue can be a highly effective medium for misinformation because it carries emotional resonance and a sense of authenticity. Information that aligns with an individual’s linguistic and cultural background is often trusted the most. When false narratives are framed using familiar expressions, local references, or community-specific concerns, they are more readily accepted and shared more widely.

Misinformation in a language like English, which is more heavily moderated, does not usually have the same impact as content in vernacular languages. In the latter case, such content tends to circulate within closed networks such as family WhatsApp groups, regional Facebook pages, local YouTube channels, and community forums. These spaces are often perceived as safe or trusted, which lowers scepticism and encourages the spread of unverified information.

‍

The Role of Digital Platforms and Algorithms

‍

Although social media platforms have opened up access to the content of regional languages, the moderation mechanisms have not kept up. The automated control systems for content are frequently trained mainly on the dominant languages, thus missing the detection of vernacular speech, slang, dialects, and code-mixing. 

This results in a disparity in the enforcement of laws where misinformation in local languages:

• Doesn’t go through automated fact-checking tools
• Is subject to human moderation takes place at a slower pace
• Is less prone to being reported or flagged
• Gains unrestrained access for a longer time period than first imagined

The problem is further magnified by algorithmic amplification. Content that triggers very strong emotional reactions fear, anger, pride, or outrage, has a higher chance of being promoted, irrespective of its truthfulness. In regional situations, such content may very quickly sway public opinion even in very closely knit communities.

‍

Forms of Vernacular Misinformation

‍

Local-language misinformation appears in various forms:

‍

• Health misinformation, with such examples as panic remedies, vaccine myths, and misleading medical prescriptions
• Political misinformation, which is mostly identified with regional identity, local grievances, or community narratives
• Rumours regarding disasters that are very hard to control and spread hatred during floods, earthquakes, or other public emergencies
• Economic and financial frauds that are perpetrated via the local dialect authorities or trusted institutions
• Cultural and religious untruths, which are based on exploiting the core of the beliefs

‍

The regional aspect of such misinformation makes it very difficult to be corrected because the fact-checks in other languages may not get to that audience.

‍

Community-Level Consequences

‍

The effect of misinformation in local languages is not only about the misdirection of individuals. It can also:

‍

• Negatively affect the process of public institutions gaining trust
• Support social polarisation and communal strife
• Get in the way of public health measures
• Help shape the decision-making process in elections at the grassroots level
• Take advantage of the digitally illiterate poor people

In a lot of scenarios, the damage done is not instant but rather accumulative, thus changing perceptions and supporting false worldviews more.

‍

Why Countering Vernacular Misinformation Is Difficult

‍

Multiple structural layers make it difficult to respond effectively:

‍

1. Variety of Languages: Just in India, there are many languages and dialects, which are very hard to monitor universally.
2. Culturally Aware Systems: The local languages sometimes bear meanings that are deeply rooted in the culture, such as by using sarcasm or referring to history, and automated systems are unable to interpret it correctly.
3. Reporting Not Common: Users might not spot misinformation or may not want to be a part of the struggle by showing the content shared by reliable members of the community.
4. Insufficient Fact-Checking Capacity: Resources are often unavailable for fact-checking organisations to perform their duties worldwide in different languages effectively.

‍

Building a Community-Centric Response

‍

Overcoming misinformation in local languages needs a community-driven resilience approach instead of a platform-centric one. Some of the key actions are: 

‍

• Boosting Digital Literacy: Users will be able to question, verify, and put the content on hold before sharing it, thanks to the regional language awareness campaigns that will be conducted.
• Facilitating Local Fact-Checkers: Local journalists, educators, and NGOs are the main players in providing the context for verification.
• Accountability of Platforms: It is necessary for technology companies to support global moderation in several languages, the hiring of local experts, and the implementation of transparent enforcement mechanisms.
• Contemplating Policy and Governance: Regulatory frameworks should facilitate proactive risk assessment while controlling the right to free expression.
• Establishment of Trusted Local Intermediaries: Community leaders, health workers, teachers, and local organisations can engage in preventing misinformation among the networks that they are trusted in.

‍

The Way Forward

‍

Misinformation in local languages is not a minor concern; it is an issue that directly affects the future of digital trust. As the number of users accessing the internet through local language interfaces continues to grow, the volume and influence of regional content will also increase. If measures do not include all language groups, misinformation will remain least corrected and most influential at the community level, where it is also the hardest to identify and address.

Such a problem exists only if the power of language is not recognised. Therefore, one can say that it is necessary to protect the quality of information in local languages, not only for digital safety but for other factors as well, such as social cohesion, democratic participation, and public well-being.

‍

Conclusion

‍

Vernacular content has the potential to be very powerful in the ways it can inform, include and empower; meanwhile, if it goes unmonitored, it has the same potential to mislead, divide, and harm. Mis-disinformation in local languages calls for the cooperation of platforms, regulators, NGOs, and the communities involved. To win over the digital ecosystem, it has to speak all languages, not only for communication but also for protection.

‍

References

‍

• https://www.mdpi.com/2304-6775/10/2/15
• https://afpr.in/regional-languages-shaping-indias-online-discourse/
• https://medium.com/@pratikgsalvi03/how-indias-misinformation-surge-and-media-credibility-crisis-are-undermining-democracy-public-dc8ad7be8e12
• https://projectshakti.in/
• https://journals.sagepub.com/doi/10.1177/02683962211037693
• https://rsisinternational.org/journals/ijriss/Digital-Library/volume-8-issue-11/505-518.pdf
• https://www.irjmets.com/upload_newfiles/irjmets71200016652/paper_file/irjmets71200016652.pdf

‍

Executive Summary:

‍
A dramatic image circulating online, showing a Boeing 787 of Air India  engulfed in flames after crashing into a building in Ahmedabad, is not a genuine photograph from the incident. Our research has confirmed it was created using artificial intelligence.

‍

‍

Claim:

‍
Social media posts and forwarded messages allege that the image shows the actual crash of Air India Flight AI‑171 near Ahmedabad airport on June 12, 2025.

‍

‍

Fact Check:

‍
In our research to validate the authenticity of the viral image, we conducted a reverse image search and analyzed it using AI-detection tools like Hive Moderation. The image showed clear signs of manipulation, distorted details, and inconsistent lighting. Hive Moderation flagged it as “Likely AI-generated”, confirming it was synthetically created and not a real photograph.

‍

‍

In contrast, verified visuals and information about the Air India Flight AI-171 crash have been published by credible news agencies like The Indian Express and  Hindustan Times, confirmed by the aviation authorities. Authentic reports include on-ground video footage and official statements, none of which feature the viral image. This confirms that the circulating photo is unrelated to the actual incident.

‍

Conclusion:

‍

‍
The viral photograph is a fabrication, created by AI, not a real depiction of the Ahmedabad crash. It does not represent factual visuals from the tragedy. It’s essential to rely on verified images from credible news agencies and official investigation reports when discussing such sensitive events.

‍

• Claim: An Air India Boeing aircraft crashed into a building near Ahmedabad airport
• Claimed On:  Social Media
• Fact Check: False and Misleading 

Introduction

The information of hundreds of thousands of Indians who received the COVID vaccine was Leaked in a significant data breach and posted on a Telegram channel. Numerous reports claim that sensitive information, including a person’s phone number, gender, ID card details, and date of birth, leaked over Telegram. It could be obtained by typing a person’s name into a Telegram bot.

What really happened?

The records pertaining to the mobile number registered in the CoWin portal are accessible on the Malayalam news website channel. It is also feasible to determine which vaccination was given and where it was given.

According to The Report, the list of individuals whose data was exposed includes BJP Tamil Nadu president K Annamalai, Congress MP Karti Chidambaram, and former BJP union minister for health Harsh Vardhan. Telangana’s minister of information and communication technology, Kalvakuntla Taraka Rama Rao, is also on the list.

MEITY stated in response to the data leak, “It is old data, we are still confirming it. We have requested a report on the matter.

After the media Report, the bot was disabled, but experts said the incident raised severe issues because the information might be used for identity theft, phishing emails, con games, and extortion calls. The Indian Computer Emergency Response Team (CERT-In), the government’s nodal body, has opened an investigation into the situation

The central government declared the data breach reports regarding the repository of beneficiaries against Covid to be “mischievous in nature” on Monday and claimed the ‘bot’ that purportedly accessed the confidential data was not directly accessing the CoWIN database.

According to the first complaint by CERT-In, the government’s cybersecurity division, the government claimed the bot might be displaying information from “previously stolen data.” Reports.

The health ministry refuted the claim, asserting that no bots could access the information without first verifying with a one-time password.

“It is made clear that all of these rumours are false and malicious. The health ministry’s CoWIN interface is entirely secure and has sufficient data privacy protections. The security of the data on the CoWIN portal is being ensured in every way possible, according to a statement from the health ministry.

Meity said the CoWin program or database was not directly compromised, and the shared information appeared to be taken from a previous intrusion. But the hack again highlights the growing danger of cyber assaults, particularly on official websites.‍

Recent cases of data leak

Dominos India 2021– Dominos India, a division of Jubilant FoodWorks, faced a cyberattack on May 22, 2021, which led to the disclosure of information from 180 million orders. The breach exposed order information, email addresses, phone numbers, and credit card information. Although Jubilant FoodWorks acknowledged a security breach, it refuted any illegal access to financial data.

Air India – A cyberattack that affected Air India in May 2021 exposed the personal information of about 4.5 million customers globally. Personal information recorded between August 26, 2011, and February 3, 2021, including names, dates of birth, contact information, passport information, ticket details, frequent flyer information from Star Alliance and Air India, and credit card information, were exposed in the breach.

Bigbasket – BigBasket, an online supermarket, had a data breach in November 2020, compromising the personal information of approximately 20 million consumers. Email IDs, password hashes, PINs, phone numbers, addresses, dates of birth, localities, and IP addresses were among the information released from an insecure database containing over 15 GB of customer data. BigBasket admitted to the incident and reported it to the Bengaluru Cyber Crime Department.

Unacademy – Unacademy, an online learning platform, experienced a data breach in May 2020, compromising the email addresses of approximately 11 million subscribers. While no sensitive information, such as financial data or passwords, was compromised, user data, including IDs, passwords, date joined, last login date, email IDs, names, and user credentials, was. The breach was detected when user accounts were uncovered for sale on the dark web.

2022 Card Data- Cybersecurity researchers from AI-driven Singapore-based CloudSEK found a threat actor offering a database of 1.2 million cards for free on a Dark Web forum for crimes on October 12, 2022. This came after a second problem involving 7.9 million cardholder records that were reported on the BidenCash website. This comprised information pertaining to State Bank of India (SBI) clients. And other well-known companies were among those targeted in high-profile data breach cases that have surfaced in recent years.

Conclusion

Data breach cases are increasing daily, and attackers are mainly attacking the healthcare sectors and health details as they can easily find personal details. This recent CoWIN case has compromised thousands of people’s data. The All-India Institute of Medical Sciences’ systems were compromised by hackers a few months ago. Over 95% of adults have had their vaccinations, according to the most recent data, even if the precise number of persons impacted by the CoWin privacy breach could not be determined.