#FactCheck - "Deepfake Video Falsely Claims Justin Trudeau Endorses Investment Project”

Executive Summary
‍

A picture allegedly showing Sunrisers Hyderabad (SRH) owner Kavya Maran emotionally hugging young cricketer Vaibhav Suryavanshi has gone viral on social media. The image is being shared as a genuine photograph from a cricket-related event, with users claiming that Kavya Maran was seen embracing Vaibhav Suryavanshi. However, CyberPeace Research Wing research found the claim to be false. No credible news reports, official statements, or authentic photographs support the incident depicted in the viral image.

‍

Claim

‍

A Facebook user shared the viral image with the caption: “Kavya Maran Hug Vaibhav Suryavanshi 🥰🔥 #cricketnews #RRvsSRH” The link to the post and its screenshot are provided below.

• https://www.facebook.com/photo/?fbid=122187674414757496&set=a.122104828004757496

‍

Fact Check

‍

During the research, we found no credible news reports, official statements, or authentic images confirming that Kavya Maran hugged Vaibhav Suryavanshi as shown in the viral picture. To further verify the image, it was analysed using AI detection tools, including Sightengine and Hive Moderation. Both tools indicated a high probability that the image was generated using Artificial Intelligence. The findings suggest that the viral photograph is not a genuine image captured at a real event but a digitally created visual.

‍

‍

‍

‍

Conclusion

‍

Our research found that the viral image showing Kavya Maran emotionally hugging Vaibhav Suryavanshi is not authentic. The picture was generated using AI and does not depict a real incident.

‍

Introduction

Personalised advertisements deploy a mechanism that derives from the collection of the user’s data. Although it allows for a more tailored user experience, one cannot ignore the method through which this is achieved. Recently, as per a report by the Indian Express on 13th November 2024, Meta has come up with a less personalised ad option on Facebook and Instagram for its users in the European Union (EU). This was done due to the incompatibility of their previous ad offer with the EU’s Digital Markets Act (DMA). 

Relevant Legislation

In October 2023, Meta came up with a “Pay or Consent” option for their users in the EU. It gave the users two options: either to pay a monthly subscription fee to avail of the ad-free usage variant of Facebook and Instagram, or to give consent to see personalised ads based on the user’s data. This consent model was introduced in their attempts to comply with the EU’s DMA. However, this was found to be incompatible with the said mandate, according to the EU regulators, as they believed that the users should not only have the option to consent to ads but also have access to less personalised but equivalent alternatives. It is this decision that pushed Meta to come up with less personalised ad options for users in the EU. The less-personalised ad option claims to rely on limited data and show ads that are only based on the context of what is being viewed i.e. during a Facebook or Instagram session requiring a minimum set of data points such as location, age, gender, and the user’s engagement with the ads. However, choosing this option also allows for such ads to be less skippable. 

The EU’s Digital Markets Act came into force on November 1, 2022. The purpose was to make the digital marketing sector fairer and in doing so, identify what they consider to be “Gatekeepers” (core platform services such as messenger services, search engines, and app stores) and a list of do’s and don’ts for them. One of them, applicable to the case mentioned above, is the effective consent required by the user in case the gatekeeper decides to target advertisements enabled by tracking the users' activity outside the gatekeeper's core platform services. 

The Indian Context

Although no such issues have been raised in India yet, it is imperative to know that in the Indian context, the DPDP (Digital Personal Data Protection) Act 2023 governs personal data regulation. This includes rules for Data Fiduciaries (those who, alone or in partnership with others, determine the means and purpose of processing personal data), the Data Principal (those who give data), Consent Managers, and even rules regarding processing data of children. 

CyberPeace Recommendations:

At the level of the user, one can take steps to ensure limited collection of personal data by following the mentioned steps: 

• Review Privacy Settings- Reviewing Privacy settings for one’s online accounts and devices is a healthy practice to avoid giving unnecessary information to third-party applications.
• Private Browsing- Browsing through private mode or incognito is encouraged, as it prevents websites from tracking your activity and personal data.
• Using Ad-blockers- Certain websites have a user option to block ads when the user first visits their page. Availing of this prevents spam advertisements from the respective websites.
• Using VPN- Using Virtual Private Networks enables users to hide their IP address and their data to be encrypted, preventing third-party actors from tracking the users' online activities
• Other steps include clearing cookies and cache data and using the location-sharing feature with care.

Conclusion

Meta’s compliance with the EU’s DMA signals that social media platforms cannot circumnavigate their way around rules. Balancing the services provided while respecting user privacy is of the utmost importance. The EU has set precedence for a system that respects this and can be used as an example to help set guidelines for how other countries can continue to deal with similar issues and set standards accordingly.

References

• https://indianexpress.com/article/technology/tech-news-technology/meta-less-personalised-ads-eu-regulatory-demands-9667266/
• https://rainmaker.co.in/blog/view/the-price-of-personalization-how-targeted-advertising-breaches-data-privacy-and-challenges-the-gdprs-shield
• https://www.infosecurity-magazine.com/magazine-features/fines-data-protection-violations/
• https://www.forbes.com/councils/forbestechcouncil/2023/09/01/the-landscape-of-personalized-advertising-efficiency-versus-privacy/
• https://iapp.org/news/a/pay-or-consent-personalized-ads-the-rules-and-whats-next
• https://economictimes.indiatimes.com/news/how-to/how-to-safeguard-privacy-in-the-era-of-personalised-ads/articleshow/102748711.cms?from=mdr
• https://www.business-standard.com/technology/tech-news/facebook-instagram-users-in-europe-can-opt-for-less-personalised-ads-124111201558_1.html
• https://digital-markets-act.ec.europa.eu/about-dma_en

‍

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

‍