#FactCheck: Old Thundercloud Video from Lviv city in Ukraine Ukraine (2021) Falsely Linked to Delhi NCR, Gurugram and Haryana

Introduction

In the face of escalating cybercrimes in India, criminals are adopting increasingly inventive methods to deceive victims. Imagine opening your phone to the notification of an incoming message from a stranger with a friendly introduction - a beginning that appears harmless, but is the beginning of an awful financial nightmare. "Pig Butchering '' scam—an increasingly sophisticated form of deception that's gaining more widespread popularity. Unlike any other scams, this one plays a long game, spinning a web of trust before it strikes. It's a modern-day financial thriller happening in the real world, with real victims. "pig butchering" scam, involves building trust through fake profiles and manipulating victims emotionally to extort money. The scale of such scams has raised concerns, emphasising the need for awareness and vigilance in the face of evolving cyber threats.

How does 'Pig Butchering' Scam Work? 

At its core, the scam starts innocuously, often with a stranger reaching out via text, social media, or apps like WhatsApp or WeChat. The scammer, hiding behind a well-crafted and realistic online persona, seeks to forge a connection. This could be under the pretence of friendship or romance, employing fake photos and stories to seem authentic. Gradually, the scammer builds a rapport, engaging in personal and often non-financial conversations. They may portray themselves as a widow, single parent, or even a military member to evoke empathy and trust. Over time, this connection pivots to investment opportunities, with the scammer presenting lucrative tips or suggestions in stocks or cryptocurrencies. Initially, modest investments are encouraged, and falsified returns are shown to lure in larger sums. Often, the scammer claims affiliation with a profitable financial institution or success in cryptocurrency trading. They direct victims to specific, usually fraudulent, trading platforms under their control. The scam reaches its peak when significant investments are made, only for the scammer to manipulate the situation, block access to the trading platform, or vanish, leaving the victim with substantial losses. 

Real-Life Examples and Global Reach

These scams are not confined to one region. In India, for instance, scammers use emotional manipulation, often starting with a WhatsApp message from an unknown, attractive individual. They pose as professionals offering part-time jobs, leading victims through tasks that escalate in investment and complexity. These usually culminate in cryptocurrency investments, with victims unable to withdraw their funds, the money often traced to accounts in Dubai. 

In the West, several cases highlight the scam's emotional and financial toll: A Michigan woman was lured by an online boyfriend claiming to make money from gold trading. She invested through a fake brokerage, losing money while being emotionally entangled. A Canadian man named Sajid Ikram lost nearly $400,000 in a similar scam, initially misled by a small successful withdrawal. In California, a man lost $440,000, succumbing to pressure to invest more, including retirement savings and borrowed money. A Maryland victim faced continuous demands from scammers, losing almost $1.4 million in hopes of recovering previous losses. A notable case involved US authorities seizing about $9 million in cryptocurrency linked to a global pig butchering scam, showcasing its extensive reach. 

Safeguarding Against Such Scams 

Vigilance is crucial to prevent falling victim to these scams. Be skeptical of unsolicited contacts and wary of investment advice from strangers. Conduct thorough research before any financial engagement, particularly on unfamiliar platforms. Indian Cyber Crime Coordination Center warns of red flags like sudden large virtual currency transactions, interest in high-return investments mentioned by new online contacts, and atypical customer behaviour. 

Victims should report incidents to various Indian and foreign websites and the Securities Exchange Commission. Financial institutions are advised to report suspicious activities related to these scams. In essence, the pig butchering scam is a cunning blend of emotional manipulation and financial fraud. Staying informed and cautious is key to avoiding these sophisticated traps.

Conclusion

The Pig Butchering Scams are one of the many new breeds of emerging cyber scams that have become a bone of contention for cyber security organisations. It is imperative for netizens to stay vigilant and well-informed about the dynamics of cyberspace and emerging cyber crimes. 

References 

1. https://www.sentinelassam.com/more-news/national-news/from-impersonating-cbi-officers-to-pig-butchering-cyber-criminals-get-creative
2. https://hiindia.com/from-impersonating-cbi-officers-to-pig-butchering-cyber-criminals-get-creative/

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Introduction

In the digital realm of social media, Meta Platforms, the driving force behind Facebook and Instagram, faces intense scrutiny following The Wall Street Journal's investigative report. This exploration delves deeper into critical issues surrounding child safety on these widespread platforms, unravelling algorithmic intricacies, enforcement dilemmas, and the ethical maze surrounding monetisation features. Instances of "parent-managed minor accounts" leveraging Meta's subscription tools to monetise content featuring young individuals have raised eyebrows. While skirting the line of legality, this practice prompts concerns due to its potential appeal to adults and the associated inappropriate interactions. It's a nuanced issue demanding nuanced solutions.

Failed Algorithms 

The very heartbeat of Meta's digital ecosystem, its algorithms, has come under intense scrutiny. These algorithms, designed to curate and deliver content, were found to actively promoting accounts featuring explicit content to users with known pedophilic interests. The revelation sparks a crucial conversation about the ethical responsibilities tied to the algorithms shaping our digital experiences. Striking the right balance between personalised content delivery and safeguarding users is a delicate task.

While algorithms play a pivotal role in tailoring content to users' preferences, Meta needs to reevaluate the algorithms to ensure they don't inadvertently promote inappropriate content. Stricter checks and balances within the algorithmic framework can help prevent the inadvertent amplification of content that may exploit or endanger minors.

Major Enforcement Challenges

Meta's enforcement challenges have come to light as previously banned parent-run accounts resurrect, gaining official verification and accumulating large followings. The struggle to remove associated backup profiles adds layers to concerns about the effectiveness of Meta's enforcement mechanisms. It underscores the need for a robust system capable of swift and thorough actions against policy violators.

To enhance enforcement mechanisms, Meta should invest in advanced content detection tools and employ a dedicated team for consistent monitoring. This proactive approach can mitigate the risks associated with inappropriate content and reinforce a safer online environment for all users.

The financial dynamics of Meta's ecosystem expose concerns about the exploitation of videos that are eligible for cash gifts from followers. The decision to expand the subscription feature before implementing adequate safety measures poses ethical questions. Prioritising financial gains over user safety risks tarnishing the platform's reputation and trustworthiness. A re-evaluation of this strategy is crucial for maintaining a healthy and secure online environment.

To address safety concerns tied to monetisation features, Meta should consider implementing stricter eligibility criteria for content creators. Verifying the legitimacy and appropriateness of content before allowing it to be monetised can act as a preventive measure against the exploitation of the system.

Meta's Response 

In the aftermath of the revelations, Meta's spokesperson, Andy Stone, took centre stage to defend the company's actions. Stone emphasised ongoing efforts to enhance safety measures, asserting Meta's commitment to rectifying the situation. However, critics argue that Meta's response lacks the decisive actions required to align with industry standards observed on other platforms. The debate continues over the delicate balance between user safety and the pursuit of financial gain. A more transparent and accountable approach to addressing these concerns is imperative.

To rebuild trust and credibility, Meta needs to implement concrete and visible changes. This includes transparent communication about the steps taken to address the identified issues, continuous updates on progress, and a commitment to a user-centric approach that prioritises safety over financial interests.

The formation of a task force in June 2023 was a commendable step to tackle child sexualisation on the platform. However, the effectiveness of these efforts remains limited. Persistent challenges in detecting and preventing potential child safety hazards underscore the need for continuous improvement. Legislative scrutiny adds an extra layer of pressure, emphasising the urgency for Meta to enhance its strategies for user protection.

To overcome ongoing challenges, Meta should collaborate with external child safety organisations, experts, and regulators. Open dialogues and partnerships can provide valuable insights and recommendations, fostering a collaborative approach to creating a safer online environment.

Drawing a parallel with competitors such as Patreon and OnlyFans reveals stark differences in child safety practices. While Meta grapples with its challenges, these platforms maintain stringent policies against certain content involving minors. This comparison underscores the need for universal industry standards to safeguard minors effectively. Collaborative efforts within the industry to establish and adhere to such standards can contribute to a safer digital environment for all.

To align with industry standards, Meta should actively participate in cross-industry collaborations and adopt best practices from platforms with successful child safety measures. This collaborative approach ensures a unified effort to protect users across various digital platforms.

Conclusion

Navigating the intricate landscape of child safety concerns on Meta Platforms demands a nuanced and comprehensive approach. The identified algorithmic failures, enforcement challenges, and controversies surrounding monetisation features underscore the urgency for Meta to reassess and fortify its commitment to being a responsible digital space. As the platform faces this critical examination, it has an opportunity to not only rectify the existing issues but to set a precedent for ethical and secure social media engagement.

This comprehensive exploration aims not only to shed light on the existing issues but also to provide a roadmap for Meta Platforms to evolve into a safer and more responsible digital space. The responsibility lies not just in acknowledging shortcomings but in actively working towards solutions that prioritise the well-being of its users.

References

• https://timesofindia.indiatimes.com/gadgets-news/instagram-facebook-prioritised-money-over-child-safety-claims-report/articleshow/107952778.cms
• https://www.adweek.com/blognetwork/meta-staff-found-instagram-tool-enabled-child-exploitation-the-company-pressed-ahead-anyway/107604/
• https://www.tbsnews.net/tech/meta-staff-found-instagram-subscription-tool-facilitated-child-exploitation-yet-company

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Introduction

The Ministry of Electronics and Information Technology (MeitY) issued an advisory on March 1 2024, urging platforms to prevent bias, discrimination, and threats to electoral integrity by using AI, generative AI, LLMs, or other algorithms. The advisory requires that AI models deemed unreliable or under-tested in India must obtain explicit government permission before deployment. While leveraging Artificial Intelligence models, Generative AI, software, or algorithms in their computer resources, Intermediaries and platforms need to ensure that they prevent bias, discrimination, and threats to electoral integrity. As Intermediaries are required to follow due diligence obligations outlined under “Information Technology (Intermediary Guidelines and Digital Media Ethics Code)Rules, 2021, updated as of 06.04.2023”. This advisory is issued to urge the intermediaries to abide by the IT rules and regulations and compliance therein.  

Key Highlights of the Advisories

• Intermediaries and platforms must ensure that users of Artificial Intelligence models/LLM/Generative AI, software, or algorithms do not allow users to host, display, upload, modify, publish, transmit, store, update, or share unlawful content, as per Rule 3(1)(b) of the IT Rules. 
• The government emphasises intermediaries and platforms to prevent bias or discrimination in their use of Artificial Intelligence models, LLMs, and Generative AI, software, or algorithms, ensuring they do not threaten the integrity of the electoral process.
• The government requires explicit permission to use deemed under-testing or unreliable AI models, LLMs, or algorithms on the Indian internet. Further, it must be deployed with proper labelling of potential fallibility or unreliability.  Further, users can be informed through a consent popup mechanism.
• The advisory specifies that all users should be well informed about the consequences of dealing with unlawful information on platforms, including disabling access, removing non-compliant information, suspension or termination of access or usage rights of the user to their user account and imposing punishment under applicable law. It entails that users are clearly informed, through terms of services and user agreements, about the consequences of engaging with unlawful information on the platform. 
• The advisory also indicates measures advocating to combat deepfakes or misinformation. The advisory necessitates identifying synthetically created content across various formats, advising platforms to employ labels, unique identifiers, or metadata to ensure transparency. Furthermore, the advisory mandates the disclosure of software details and tracing the first originator of such synthetically created content.

Rajeev Chandrasekhar, Union Minister of State for IT, specified that

“Advisory is aimed at the Significant platforms, and permission seeking from Meity is only for large platforms and will not apply to startups. Advisory is aimed at untested AI platforms from deploying on the Indian Internet. Process of seeking permission , labelling & consent based disclosure to user about untested platforms is insurance policy to platforms who can otherwise be sued by consumers. Safety & Trust of India's Internet is a shared and common goal for Govt, users and Platforms.”

Conclusion

MeitY's advisory sets the stage for a more regulated Al landscape. The Indian government requires explicit permission for the deployment of under-testing or unreliable Artificial Intelligence models on the Indian Internet. Alongside intermediaries, the advisory also applies to digital platforms that incorporate Al elements. Advisory is aimed at significant platforms and will not apply to startups. This move safeguards users and fosters innovation by promoting responsible AI practices, paving the way for a more secure and inclusive digital environment.

References 

• https://regmedia.co.uk/2024/03/04/meity_ai_advisory_1_march.pdf
• https://economictimes.indiatimes.com/tech/technology/govts-ai-advisory-will-not-apply-to-startups-mos-it-rajeev-chandrasekhar/articleshow/108197797.cms?from=mdr
• https://www.meity.gov.in/writereaddata/files/Advisory%2015March%202024.pdf

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