#FactCheck: Fake viral AI video captures a real-time bridge failure incident in Bihar

Introduction

The increasing online interaction and popularity of social media platforms for netizens have made a breeding ground for misinformation generation and spread. Misinformation propagation has become easier and faster on online social media platforms, unlike traditional news media sources like newspapers or TV. The big data analytics and Artificial Intelligence (AI) systems have made it possible to gather, combine, analyse and indefinitely store massive volumes of data. The constant surveillance of digital platforms can help detect and promptly respond to false and misinformation content. 

During the recent Israel-Hamas conflict, there was a lot of misinformation spread on big platforms like X (formerly Twitter) and Telegram. Images and videos were falsely shared attributing to the ongoing conflict, and had spread widespread confusion and tension. While advanced technologies such as AI and big data analytics can help flag harmful content quickly, they must be carefully balanced against privacy concerns to ensure that surveillance practices do not infringe upon individual privacy rights. Ultimately, the challenge lies in creating a system that upholds both public security and personal privacy, fostering trust without compromising on either front.

The Need for Real-Time Misinformation Surveillance

According to a recent survey from the Pew Research Center, 54% of U.S. adults at least sometimes get news on social media. The top spots are taken by Facebook and YouTube respectively with Instagram trailing in as third and TikTok and X as fourth and fifth. Social media platforms provide users with instant connectivity allowing them to share information quickly with other users without requiring the permission of a gatekeeper such as an editor as in the case of traditional media channels. 

Keeping in mind the data dumps that generated misinformation due to the elections that took place in 2024 (more than 100 countries), the public health crisis of COVID-19, the conflicts in the West Bank and Gaza Strip and the sheer volume of information, both true and false, has been immense. Identifying accurate information amid real-time misinformation is challenging. The dilemma emerges as the traditional content moderation techniques may not be sufficient in curbing it. Traditional content moderation alone may be insufficient, hence the call for a dedicated, real-time misinformation surveillance system backed by AI and with certain human sight and also balancing the privacy of user's data, can be proven to be a good mechanism to counter misinformation on much larger platforms. The concerns regarding data privacy need to be prioritized before deploying such technologies on platforms with larger user bases. 

Ethical Concerns Surrounding Surveillance in Misinformation Control

Real-time misinformation surveillance could pose significant ethical risks and privacy risks. Monitoring communication patterns and metadata, or even inspecting private messages, can infringe upon user privacy and restrict their freedom of expression. Furthermore, defining misinformation remains a challenge; overly restrictive surveillance can unintentionally stifle legitimate dissent and alternate perspectives. Beyond these concerns, real-time surveillance mechanisms could be exploited for political, economic, or social objectives unrelated to misinformation control. Establishing clear ethical standards and limitations is essential to ensure that surveillance supports public safety without compromising individual rights. 

In light of these ethical challenges, developing a responsible framework for real-time surveillance is essential.

Balancing Ethics and Efficacy in Real-Time Surveillance: Key Policy Implications

Despite these ethical challenges, a reliable misinformation surveillance system is essential. Key considerations for creating ethical, real-time surveillance may include:

• Misinformation-detection algorithms should be designed with transparency and accountability in mind. Third-party audits and explainable AI can help ensure fairness, avoid biases, and foster trust in monitoring systems.
• Establishing clear, consistent definitions of misinformation is crucial for fair enforcement. These guidelines should carefully differentiate harmful misinformation from protected free speech to respect users’ rights.
• Only collecting necessary data and adopting a consent-based approach which protects user privacy and enhances transparency and trust. It further protects them from stifling dissent and profiling for targeted ads.
• An independent oversight body that can monitor surveillance activities while ensuring accountability and preventing misuse or overreach can be created. These measures, such as the ability to appeal to wrongful content flagging, can increase user confidence in the system.

Conclusion: Striking a Balance

Real-time misinformation surveillance has shown its usefulness in counteracting the rapid spread of false information online. But, it brings complex ethical challenges that cannot be overlooked such as balancing the need for public safety with the preservation of privacy and free expression is essential to maintaining a democratic digital landscape. The references from the EU’s Digital Services Act and Singapore’s POFMA underscore that, while regulation can enhance accountability and transparency, it also risks overreach if not carefully structured. Moving forward, a framework for misinformation monitoring must prioritise transparency, accountability, and user rights, ensuring that algorithms are fair, oversight is independent, and user data is protected. By embedding these safeguards, we can create a system that addresses the threat of misinformation and upholds the foundational values of an open, responsible, and ethical online ecosystem. Balancing ethics and privacy and policy-driven AI Solutions for Real-Time Misinformation Monitoring are the need of the hour.

References

• https://www.pewresearch.org/journalism/fact-sheet/social-media-and-news-fact-sheet/ 
• https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=OJ:C:2018:233:FULL 

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Introduction 

Over the past few years, the virtual space has been an irreplaceable livelihood platform for content creators and influencers, particularly on major social media platforms like YouTube and Instagram. Yet, if this growth in digital entrepreneurship is accompanied by anything, it is a worrying trend, a steep surge in account takeover (ATO) attacks against these actors. In recent years, cybercriminals have stepped up the quantity and level of sophistication of such attacks, hacking into accounts, jeopardising the follower base, and incurring economic and reputational damage. They don’t just take over accounts to cause disruption. Instead, they use these hijacked accounts to run scams like fake livestreams and cryptocurrency fraud, spreading them by pretending to be the original account owner. This type of cybercrime is no longer a nuisance; it now poses a serious threat to the creator economy, digital trust, and the wider social media ecosystem.

Why Are Content Creators Prime Targets? 

Content creators hold a special place on the web. They are prominent users who live for visibility, public confidence, and ongoing interaction with their followers. Their social media footprint tends to extend across several interrelated platforms, e.g., YouTube, Instagram, X (formerly Twitter), with many of these accounts having similar login credentials or being managed from the same email accounts. This interconnectivity of their online presence crosses multiple platforms and benefits workflow, but makes them appealing targets for hackers. One entry point can give access to a whole chain of vulnerabilities. Attackers, once they control an account, can wield its influence and reach to share scams, lead followers to phishing sites, or spread malware, all from the cover of a trusted name.

Popular Tactics Used by Attackers

• Malicious Livestream Takeovers and Rebranding - Cybercriminals hijack high-subscriber channels and rebrand them to mimic official channels. Original videos are hidden or deleted, replaced with scammy streams using deep fake personas to promote crypto schemes.
• Fake Sponsorship Offers - Creators receive emails from supposed sponsors that contain malware-infected attachments or malicious download links, leading to credential theft.
• Malvertising Campaigns - These involve fake ads on social platforms promoting exclusive software like AI tools or unreleased games. Victims download malware that searches for stored login credentials.
• Phishing and Social Engineering on Instagram - Hackers impersonate Meta support teams via DMs and emails. They direct creators to login pages that are cloned versions of Instagram's site. Others pose as fans to request phone numbers and trick victims into revealing password reset codes.
• Timely Exploits and Event Hijacking - During major public or official events, attackers often escalate their activity. Hijacked accounts are used to promote fake giveaways or exclusive live streams, luring users to malicious websites designed to steal personal information or financial data.

Real-World Impact and Case Examples

The reach and potency of account takeover attacks upon content creators are far-reaching and profound. In a report presented in 2024 by Bitdefender, over 9,000 malicious live streams were seen on YouTube during a year, with many having been streamed from hijacked creator accounts and reassigned to advertise scams and fake content. Perhaps the most high-profile incident was a channel with more than 28 million subscribers and 12.4 billion total views, which was totally taken over and utilised for a crypto fraud scheme live streaming. Additionally, Bitdefender research indicated that over 350 scam domains were utilised by cybercriminals, directly connected via hijacked social media accounts, to entice followers into phishing scams and bogus investment opportunities. Many of these pieces of content included AI-created deep fakes impersonating recognisable personalities like Elon Musk and other public figures, providing the illusion of authenticity around fake endorsements (CCN, 2024). Further, attackers have exploited popular digital events such as esports events, such as Counter-Strike 2 (CS2), by hijacking YouTube gaming channels and livestreaming false giveaways or referring viewers to imitated betting sites.

Protective Measures for Creators

• Enable Multi-Factor Authentication (MFA) 

Adds an essential layer of defence. Even if a password is compromised, attackers can't log in without the second factor. Prefer app-based or hardware token authentication.

• Scrutinize Sponsorships 

Verify sender domains and avoid opening suspicious attachments. Use sandbox environments to test files. In case of doubt, verify collaboration opportunities through official company sources or verified contacts.

• Monitor Account Activity 

Keep tabs on login history, new uploads, and connected apps. Configure alerts for suspicious login attempts or spikes in activity to detect breaches early. Configure alerts for suspicious login attempts or spikes in activity to detect breaches early.

• Educate Your Team 

If your account is managed by editors or third parties, train them on common phishing and malware tactics.  Employ regular refresher sessions and send mock phishing tests to reinforce awareness.

• Use Purpose-Built Security Tools 

Specialised security solutions offer features like account monitoring, scam detection, guided recovery, and protection for team members. These tools can also help identify suspicious activity early and support a quick response to potential threats.

Conclusion 

Account takeover attacks are no longer random events, they're systemic risks that compromise the financial well-being and personal safety of creators all over the world. As cybercriminals grow increasingly sophisticated and realistic in their scams, the only solution is a security-first approach. This encompasses a mix of technical controls, platform-level collaboration, education, and investment in creator-centric cybersecurity technologies. In today's fast-paced digital landscape, creators not only need to think about content but also about defending their digital identity. As digital platforms continue to grow, so do the threats targeting creators. However, with the right awareness, tools, and safeguards in place, a secure and thriving digital environment for creators is entirely achievable.

References

• https://www.bitdefender.com/en-au/blog/hotforsecurity/account-takeover-attacks-on-social-media-a-rising-threat-for-content-creators-and-influencers
• https://www.arkoselabs.com/account-takeover/social-media-account-takeover/
• https://www.imperva.com/learn/application-security/account-takeover-ato/
• https://www.security.org/digital-safety/account-takeover-annual-report/
• https://www.niceactimize.com/glossary/account-takeover/

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Introduction
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India is reaching a turning point in its technological development when the AI Impact Summit 2026 is held in New Delhi. Artificial Intelligence (AI)is transforming economies, labour markets, governance structures and even the grammar of public discourse. It is no longer a frontier of speculation. The challenge facing the Summit is not whether AI will change our societies, it has already done so but rather whether inclusiveness and human dignity will serve as the foundation for this change. 

India’s AI journey is defined by scale. The nation has one of the biggest user bases for cutting edge AI systems worldwide. According to projections, AI may create millions of new technology-driven occupations by 2030 and change the nature of millions more. This is a structural reconfiguration rather than an incremental alteration. The stakes are high for a country with a large youth population and diverse socioeconomic diversity. 

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India’s Tryst with Artificial Intelligence
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India’s tryst with AI is a developmental imperative occurring at a civilisational scale not a show put on for a western favour. AI is still portrayed in many international storylines as a competition between China’s state backed rapidity, Europe’s sophisticated regulations and Silicon Valley’s capital. India is far too frequently a huge consumer market rather than a significant force behind the AI era.  Such evaluations undervalue a nation that has already proven its capacity to implement technology at a democratic scale through its digital public infrastructure. AI in India is about more than just improving algorithms, it’s about giving millions more people access to social safety, healthcare, agriculture and education.

The scepticism overlooks a deeper truth, India innovates not from abundance but from urgency. India remains certain that technical advancement must be in line with social justice and inclusive growth. The recollections from history suggest that India’s greatest technological strides have often followed underestimation. 

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A Conclave of Contagious Ideas

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India has long been the favourite underestimation of certain western observers, a nation of 1.4 billion people, the world’s fifth largest economy, a noisy democracy with inconvenient geopolitical realities, often assessed by counterparts governing populations smaller than many of its states. Advice follows in spades, sometimes from cities that mastered the art of strategic improvisation long before they preached restraint and sometimes with lectures on innovation, governance and order. 

However, there are times when hierarchies need to be rearranged. It was hard to overlook the symbolism when Ranvir Sachdeva, the youngest keynote speaker at the AI Impact Summit, 2026, took the stage, “I’m here as the youngest keynote speaker at the Indian AI Impact Summit,” he said, discussing how he’s connecting ancient Indian beliefs to contemporary technology and the various strategies that other countries are doing to develop AI. In that simple articulation lay a quiet rebuttal, a civilization that once debated metaphysics under banyan trees is now debating ethics in plenary halls. History constantly demonstrates that India’s permanent address has never been underestimation. 

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From New Delhi to Geneva: The Global Arc of AI Governance
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Now that the AI Impact Summit, 2026 is coming to an end, what’s left is not just the recollection of its size but also the form of new international dialogue. The New Delhi Declaration, a remarkable highlight of the Summit, was signed by eighty-eight nations and international organisations to support the democratic spread of AI. 

The increasing complexity of the AI order was also made clear by the Summit. Pledges for investments totalled hundred of billions. The U.S. led Pax Silica effort was joined by India. SovereignLLMs in the country were introduced. At the same time, spectators were reminded that the politics of AI are inextricably linked to its promise via logistical challenges, protest disruptions and business rivalries. Although nations are not bound by the New Delhi Declaration it does represent a growing consensus that acceleration must be accompanied by governance. 

The revelation that the 2027 AI Impact Summit will be in Geneva represents a significant shift in this regard. Guy Parmelin, the president of Switzerland, described the upcoming chapter as one that is primarily concerned with international law and good governance in an attempt to guarantee that the future of AI is not entirely in the hands of powerful nations. From scale and ambition in New Delhi to normative consolidation in Europe, Geneva, longtime hotbed of multilateral diplomacy, provides symbolic continuity. 

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Concluding Confluence
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It is tempting to view the Global CyberPeace Summit (GCS), a Pre-Summit Event of AI Impact Summit held in close succession at Bharat Mandapam on 10th February, 2026. They formed a strong intellectual arc. At GCS, inclusion was not ornamental. A deeper message was conveyed by India Signing Hands’ involvement and purposeful emphasis on accessibility, digital systems must be created with, not just for, those on margins. Resilience must start at the economic level, according to the AI-enabled cybersecurity engagement for MSMEs. Participants were reminded during the talks on Technology Facilitated Gender-Based Violence (TFGBV), CSAM prevention and child safety that technological arguments only gain significance when they are connected to real-world outcomes.

When Geneva takes over in 2027, the issue  will not just be how AI should be regulated, but also what ethical foundation that governance is built upon. New Delhi’s belief that wisdom and power must coexist may be its contribution to this developing narrative. That persistence has content than spectacle, as well as possibly the faint form of technical conscience. 

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