#FactCheck- Viral video of burning ship falsely linked to US attack on vessel carrying Indian nationals in Oman waters

Over The Top (OTT)

OTT messaging platforms have taken the world by storm; everyone across the globe is working on OTT platforms, and they have changed the dynamics of accessibility and information speed forever. Whatsapp is one of the leading OTT messaging platforms under the tech giant Meta as of 2013. All tasks, whether personal or professional, can be performed over Whatsapp, and as of today, Whatsapp has 2.44 billion users worldwide, with 487.5 Million users in India alone^[1]. With such a vast user base, it is pertinent to have proper safety and security measures and mechanisms on these platforms and active reporting options for the users. The growth of OTT platforms has been exponential in the previous decade. As internet penetration increased during the Covid-19 pandemic, the following factors contributed towards the growth of OTT platforms –

• Urbanisation and Westernisation
• Access to Digital Services
• Media Democratization
• Convenience
• Increased Internet Penetration

These factors have been influential in providing exceptional content and services to the  consumers, and extensive internet connectivity has allowed people from the remotest part of the country to use OTT messaging platforms. But it is pertinent to maintain user safety and security by the platforms and abide by the policies and regulations to maintain accountability and transparency.

New Safety Features

Keeping in mind the safety requirements and threats coming with emerging technologies, Whatsapp has been crucial in taking out new technology and policy-based security measures. A number of new security features have been added to WhatsApp to make it more difficult to take control of other people’s accounts. The app’s privacy and security-focused features go beyond its assertion that online chats and discussions should be as private and secure as in-person interactions. Numerous technological advancements pertaining to that goal have focussed on message security, such as adding end-to-end encryption to conversations. The new features allegedly increase user security on the app.

WhatsApp announced that three new security features are now available to all users on Android and iOS devices. The new security features are called Account Protect, Device Verification, and Automatic Security Codes

• For instance, a new programme named “Account Protect” will start when users migrate an account from an old device to a new one. If users receive an unexpected alert, it may be a sign that someone is trying to access their account without their knowledge. Users may see an alert on their previous handset asking them to confirm that they are truly transitioning away from it.
• To make sure that users cannot install malware to access other people’s messages, another function called “Device Verification” operates in the background. Without the user’s knowledge, this feature authenticates devices in the background. In particular, WhatsApp claims it is concerned about unlicensed WhatsApp applications that contain spyware made explicitly for this use. Users do not need to take any action due to the company’s new checks that help authenticate user accounts to prevent this.
• The final feature is dubbed “automatic security codes,” It builds on an already-existing service that lets users verify that they are speaking with the person they believe they are. This is still done manually, but by default, an automated version will be carried out with the addition of a tool to determine whether the connection is secure.

While users can now view the code by visiting a user’s profile, the social media platform will start to develop a concept called “Key Transparency” to make it easier for its users to verify the validity of the code. Update to the most recent build if you use WhatsApp on Android because these features have already been released. If you use iOS, the security features have not yet been released, although an update is anticipated soon.

Conclusion

Digital safety is a crucial matter for netizens across the world; platforms like Whatsapp, which enjoy a massive user base, should lead the way in terms of OTT platforms’ cyber security by inculcating the use of emerging technologies, user reporting, and transparency in the principles and also encourage other platforms to replicate their security mechanisms to keep bad actors at bay. Account Protect, Device Verification, and Automatic Security Codes will go a long way in protecting the user’s interests while simultaneously maintaining convenience, thus showing us that the future with such platforms is bright and secure.

^[1] https://verloop.io/blog/whatsapp-statistics-2023/#:~:text=1.,over%202.44%20billion%20users%20worldwide.

Executive Summary

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Ahead of the final phase of the West Bengal Assembly elections, a claim regarding Uttar Pradesh cadre IPS officer Ajay Pal Sharma began circulating widely on social media. Users claimed that Sharma was being sent to West Bengal on deputation for a period of five years. However, research conducted by CyberPeace Research Wing found the claim to be false. Sources close to the IPS officer confirmed that no such deputation order has been issued so far and that Ajay Pal Sharma is currently posted as Additional Commissioner in Prayagraj, Uttar Pradesh. Ajay Pal Sharma had earlier been deployed as a police observer during the West Bengal elections. During that period, a video of him warning Trinamool Congress candidate Jahangir Khan from the Falta constituency had gone viral on social media.

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Claim

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Several users on Facebook and X claimed that Ajay Pal Sharma had been transferred to West Bengal for five years under an administrative arrangement involving experienced officers from different states. One Facebook user wrote:“This decision has been taken under an administrative arrangement through which experienced officers are deployed in different states.”

• https://www.facebook.com/photo.php?fbid=818902764628152&set=a.296761956842238&type=3
• https://perma.cc/FD8Q-CF7L?type=standard

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Fact Check

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Our research found that the deputation claim is false. Ajay Pal Sharma is currently serving as Additional Commissioner in Prayagraj, a position he has held since 2025. Further scrutiny revealed that the claim appears to have originated from a parody account on X. On May 4, around 6 PM, the account @abdullah_0mar posted the claim regarding Sharma’s alleged five-year deputation to Bengal. However, in the comments section, the user later clarified that the post was intended as satire.

• https://x.com/abdullah_0mar/status/2051277192018203071

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We also reviewed several news reports regarding Ajay Pal Sharma’s role during the West Bengal elections. Reports confirmed that the Election Commission had deployed him as a police observer in South 24 Parganas district during the polls. However, none of the reports mentioned any five-year transfer or deputation to West Bengal.

• https://www.indiatoday.in/elections/assembly/story/ajay-pal-sharma-up-encounter-specialist-singham-bengal-elections-2902589-2026-04-28

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Conclusion

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The viral claim is false. No official order has been issued regarding IPS officer Ajay Pal Sharma’s deputation to West Bengal for five years. Sources close to the officer confirmed that he continues to serve as Additional Commissioner in Prayagraj, Uttar Pradesh. Sharma had only been deputed as a police observer during the West Bengal Assembly elections, during which a video of him warning TMC candidate Jahangir Khan went viral online.

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Introduction

The fast-paced development of technology and the wider use of social media platforms have led to the rapid dissemination of misinformation with characteristics such as diffusion, fast propagation speed, wide influence, and deep impact through these platforms. Social Media Algorithms and their decisions are often perceived as a black box introduction that makes it impossible for users to understand and recognise how the decision-making process works. 

Social media algorithms may unintentionally promote false narratives that garner more interactions, further reinforcing the misinformation cycle and making it harder to control its spread within vast, interconnected networks. Algorithms judge the content based on the metrics, which is user engagement. It is the prerequisite for algorithms to serve you the best. Hence, algorithms or search engines enlist relevant items you are more likely to enjoy. This process, initially, was created to cut the clutter and provide you with the best information. However, sometimes it results in unknowingly widespread misinformation due to the viral nature of information and user interactions. 

Analysing the Algorithmic Architecture of Misinformation

Social media algorithms, designed to maximize user engagement, can inadvertently promote misinformation due to their tendency to trigger strong emotions, creating echo chambers and filter bubbles. These algorithms prioritize content based on user behaviour, leading to the promotion of emotionally charged misinformation. Additionally, the algorithms prioritize content that has the potential to go viral, which can lead to the spread of false or misleading content faster than corrections or factual content.

Additionally, popular content is amplified by platforms, which spreads it faster by presenting it to more users. Limited fact-checking efforts are particularly difficult since, by the time they are reported or corrected, erroneous claims may have gained widespread acceptance due to delayed responses. Social media algorithms find it difficult to distinguish between real people and organized networks of troll farms or bots that propagate false information. This creates a vicious loop where users are constantly exposed to inaccurate or misleading material, which strengthens their convictions and disseminates erroneous information through networks.

Though algorithms, primarily, aim to enhance user engagement by curating content that aligns with the user's previous behaviour and preferences. Sometimes this process leads to "echo chambers," where individuals are exposed mainly to information that reaffirms their beliefs which existed prior, effectively silencing dissenting voices and opposing viewpoints. This curated experience reduces exposure to diverse opinions and amplifies biased and polarising content, making it arduous for users to discern credible information from misinformation. Algorithms feed into a feedback loop that continuously gathers data from users' activities across digital platforms, including websites, social media, and apps. This data is analysed to optimise user experiences, making platforms more attractive. While this process drives innovation and improves user satisfaction from a business standpoint, it also poses a danger in the context of misinformation. The repetitive reinforcement of user preferences leads to the entrenchment of false beliefs, as users are less likely to encounter fact-checks or corrective information.

Moreover, social networks and their sheer size and complexity today exacerbate the issue. With billions of users participating in online spaces, misinformation spreads rapidly, and attempting to contain it—such as by inspecting messages or URLs for false information—can be computationally challenging and inefficient. The extensive amount of content that is shared daily means that misinformation can be propagated far quicker than it can get fact-checked or debunked.

Understanding how algorithms influence user behaviour is important to tackling misinformation. The personalisation of content, feedback loops, the complexity of network structures, and the role of superspreaders all work together to create a challenging environment where misinformation thrives. Hence, highlighting the importance of countering misinformation through robust measures. 

The Role of Regulations in Curbing Algorithmic Misinformation

The EU's Digital Services Act (DSA) applicable in the EU is one of the regulations that aims to increase the responsibilities of tech companies and ensure that their algorithms do not promote harmful content. These regulatory frameworks play an important role they can be used to establish mechanisms for users to appeal against the algorithmic decisions and ensure that these systems do not disproportionately suppress legitimate voices. Independent oversight and periodic audits can ensure that algorithms are not biased or used maliciously. Self-regulation and Platform regulation are the first steps that can be taken to regulate misinformation. By fostering a more transparent and accountable ecosystem, regulations help mitigate the negative effects of algorithmic misinformation, thereby protecting the integrity of information that is shared online. In the Indian context, the Intermediary Guidelines, 2023, Rule 3(1)(b)(v) explicitly prohibits the dissemination of misinformation on digital platforms. The ‘Intermediaries’ are obliged to ensure reasonable efforts to prevent users from hosting, displaying, uploading, modifying, publishing, transmitting, storing, updating, or sharing any information related to the 11 listed user harms or prohibited content. This rule aims to ensure platforms identify and swiftly remove misinformation, and false or misleading content.

Cyberpeace Outlook

Understanding how algorithms prioritise content will enable users to critically evaluate the information they encounter and recognise potential biases. Such cognitive defenses can empower individuals to question the sources of the information and report misleading content effectively. In the future of algorithms in information moderation, platforms should evolve toward more transparent, user-driven systems where algorithms are optimised not just for engagement but for accuracy and fairness. Incorporating advanced AI moderation tools, coupled with human oversight can improve the detection and reduction of harmful and misleading content. Collaboration between regulatory bodies, tech companies, and users will help shape the algorithms landscape to promote a healthier, more informed digital environment.

References:

• https://www.advancedsciencenews.com/misformation-spreads-like-a-nuclear-reaction-on-the-internet/
• https://www.niemanlab.org/2024/09/want-to-fight-misinformation-teach-people-how-algorithms-work/ 
• Press Release: Press Information Bureau (pib.gov.in) 

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