#FactCheck - Debunking Manipulated Photos of Smiling Secret Service Agents During Trump Assassination Attempt

Executive Summary:

A number of false information is spreading across social media networks after the users are sharing the mistranslated video with Indian Hindus being congratulated by Italian Prime Minister Giorgia Meloni on the inauguration of Ram Temple in Ayodhya under Uttar Pradesh state. Our CyberPeace Research Team’s investigation clearly reveals that those allegations are based on false grounds. The true interpretation of the video that actually is revealed as Meloni saying thank you to those who wished her a happy birthday.

Claims:

A X (Formerly known as Twitter) user’ shared a 13 sec video where Italy Prime Minister Giorgia Meloni speaking in Italian and user claiming to be congratulating India for Ram Mandir Construction, the caption reads, 

“Italian PM Giorgia Meloni Message to Hindus for Ram Mandir #RamMandirPranPratishta. #Translation : Best wishes to the Hindus in India and around the world on the Pran Pratistha ceremony. By restoring your prestige after hundreds of years of struggle, you have set an example for the world. Lots of love.”

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Fact Check:

The CyberPeace Research team tried to translate the Video in Google Translate. First, we took out the transcript of the Video using an AI transcription tool and put it on Google Translate; the result was something else.

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The Translation reads, “Thank you all for the birthday wishes you sent me privately with posts on social media, a lot of encouragement which I will treasure, you are my strength, I love you.”

With this we are sure that it was not any Congratulations message but a thank you message for all those who sent birthday wishes to the Prime Minister. 

We then did a reverse Image Search of frames of the Video and found the original Video on the Prime Minister official X Handle uploaded on 15 Jan, 2024 with caption as, “Grazie. Siete la mia” Translation reads, “Thank you. You are my strength!”

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Conclusion:

The 13 Sec video shared by a user had a great reach at X as a result many users shared the Video with Similar Caption. A Misunderstanding starts from one Post and it spreads all. The Claims made by the X User in Caption of the Post is totally misleading and has no connection with the actual post of Italy Prime Minister Giorgia Meloni speaking in Italian. Hence, the Post is fake and Misleading.

• Claim:  Italian Prime Minister Giorgia Meloni congratulated Hindus in the context of Ram Mandir
• Claimed on: X
• Fact Check: Fake

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Introduction

Considering the development of technology, Voice cloning schemes are one such issue that has recently come to light. Scammers are moving forward with AI, and their methods and plans for deceiving and scamming people have also altered. Deepfake technology creates realistic imitations of a person’s voice that can be used to conduct fraud, dupe a person into giving up crucial information, or even impersonate a person for illegal purposes. We will look at the dangers and risks associated with AI voice cloning frauds, how scammers operate and how one might protect themselves from one.

What is Deepfake?

Artificial intelligence (AI), known as “deepfake,” can produce fake or altered audio, video, and film that pass for the real thing. The words “deep learning” and “fake” are combined to get the name “deep fake”. Deepfake technology creates content with a realistic appearance or sound by analysing and synthesising diverse volumes of data using machine learning algorithms. Con artists employ technology to portray someone doing something that has never been in audio or visual form. The best example is the American President, who used deep voice impersonation technology. Deep voice impersonation technology can be used maliciously, such as in deep voice fraud or disseminating false information. As a result, there is growing concerned about the potential influence of deep fake technology on society and the need for effective tools to detect and mitigate the hazards it may provide.

What exactly are deepfake voice scams?

Artificial intelligence (AI) is sometimes utilised in deepfake speech frauds to create synthetic audio recordings that seem like real people. Con artists can impersonate someone else over the phone and pressure their victims into providing personal information or paying money by using contemporary technology. A con artist may pose as a bank employee, a government official, or a friend or relative by utilising a deep false voice. It aims to earn the victim’s trust and raise the likelihood that they will fall for the hoax by conveying a false sense of familiarity and urgency. Deep fake speech frauds are increasing in frequency as deep fake technology becomes more widely available, more sophisticated, and harder to detect. In order to avoid becoming a victim of such fraud, it is necessary to be aware of the risks and take appropriate measures.

Why do cybercriminals use AI voice deep fake?

In order to mislead users into providing private information, money, or system access, cybercriminals utilise artificial intelligence (AI) speech-deep spoofing technology to claim to be people or entities. Using AI voice-deep fake technology, cybercriminals can create audio recordings that mimic real people or entities, such as CEOs, government officials, or bank employees, and use them to trick victims into taking activities that are advantageous to the criminals. This can involve asking victims for money, disclosing login credentials, or revealing sensitive information. In phishing assaults, where fraudsters create audio recordings that impersonate genuine messages from organisations or people that victims trust, deepfake AI voice technology can also be employed. These audio recordings can trick people into downloading malware, clicking on dangerous links, or giving out personal information. Additionally, false audio evidence can be produced using AI voice-deep fake technology to support false claims or accusations. This is particularly risky regarding legal processes because falsified audio evidence may lead to wrongful convictions or acquittals. Artificial intelligence voice deep fake technology gives con artists a potent tool for tricking and controlling victims. Every organisation and the general population must be informed of this technology’s risk and adopt the appropriate safety measures.

How to spot voice deepfake and avoid them?

Deep fake technology has made it simpler for con artists to edit audio recordings and create phoney voices that exactly mimic real people. As a result, a brand-new scam called the “deep fake voice scam” has surfaced. In order to trick the victim into handing over money or private information, the con artist assumes another person’s identity and uses a fake voice. What are some ways to protect oneself from deepfake voice scams? Here are some guidelines to help you spot them and keep away from them:

• Steer clear of telemarketing calls

• One of the most common tactics used by deep fake voice con artists, who pretend to be bank personnel or government officials, is making unsolicited phone calls.
• Listen closely to the voice

• Anyone who phones you pretending to be someone else should pay special attention to their voice. Are there any peculiar pauses or inflexions in their speech? Something that doesn’t seem right can be a deep voice fraud.
• Verify the caller’s identity

• It’s crucial to verify the caller’s identity in order to avoid falling for a deep false voice scam. You might ask for their name, job title, and employer when in doubt. You can then do some research to be sure they are who they say they are.
• Never divulge confidential information

• No matter who calls, never give out personal information like your Aadhar, bank account information, or passwords over the phone. Any legitimate companies or organisations will never request personal or financial information over the phone; if they do, it’s a warning sign that they’re a scammer.
• Report any suspicious activities

• Inform the appropriate authorities if you think you’ve fallen victim to a deep voice fraud. This may include your bank, credit card company, local police station, or the nearest cyber cell. By reporting the fraud, you could prevent others from being a victim.

Conclusion

In conclusion, the field of AI voice deep fake technology is fast expanding and has huge potential for beneficial and detrimental effects. While deep fake voice technology has the potential to be used for good, such as improving speech recognition systems or making voice assistants sound more realistic, it may also be used for evil, such as deep fake voice frauds and impersonation to fabricate stories. Users must be aware of the hazard and take the necessary precautions to protect themselves as AI voice deep fake technology develops, making it harder to detect and prevent deep fake schemes. Additionally, it is necessary to conduct ongoing research and develop efficient techniques to identify and control the risks related to this technology. We must deploy AI appropriately and ethically to ensure that AI voice-deep fake technology benefits society rather than harming or deceiving it.

Reference

https://arstechnica.com/tech-policy/2023/03/rising-scams-use-ai-to-mimic-voices-of-loved-ones-in-financial-distress/

https://www.timesnownews.com/technology-science/ai-scam-fake-voice-of-family-ai-scam-alert-online-fraud-money-things-you-should-know-tips-precautions-impersonation-scam-article-9845187

Introduction 

The Data Protection Data Privacy Act 2023 is the most essential step towards protecting, prioritising, and promoting the users’ privacy and data protection. The Act is designed to prioritize user consent in data processing while assuring uninterrupted services like online shopping, intermediaries, etc. The Act specifies that once a user provides consent to the following intermediary platforms, the platforms can process the data until the user withdraws the rights of it. This policy assures that the user has the entire control over their data and is accountable for its usage.

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A keen Outlook 

The Following Act also provides highlights for user-specific purpose, which is limited to data processing. This step prevents the misuse of data and also ensures that the processed data is being for the purpose for which it was obtained at the initial stage from the user.

1. Data Fudiary and Processing of Online Shopping Platforms: The Act Emphasises More on Users’ Consent. Once provided, the Data Fudiary can constantly process the data until it is specifically withdrawn by the Data Principal.

• Detailed Analysis

• Consent as a Foundation: The Act places the user's consent as a backbone to the data processing. It sets clear boundaries for data processing. It can be Collecting, Processing, and Storing, and must comply with users’ consent before being used.
• Uninterrupted Data processing: With the given user consent, the intermediaries are not time-restrained. As long as the user does not obligate their consent, the process will be ongoing.

2. Consent and Order Fulfillment: Consent, once provided, encloses all the activities related to the specific purpose for which it was meant to the data it was given for subsequent actions such as order fulfilment. 

• Detailed Analysis

• Purpose-Limited Consent: The consent given is purpose-limited. The platform cannot misuse the obtained data for its personal use.
• Seamless User Experience: By ensuring that the user consent covers the full transactions, spared from the unwanted annoyance of repeated consent requests from the actual ongoing activities. 

3. Data Retention and Rub Out on Online Platforms: Platforms must ensure data minimisation post its utilisation period. This extends to any kind of third-party processors they might take on.

• Detailed Analysis

• Minimization and Security Assurance: By compulsory data removal on post ultization,This step helps to reduce the volume of data platforms hold, which leads to minimizing the risk to data.
• Third-Party Accountability, User Privacy Protection. 

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Influence from Global frameworks

The impactful changes based on global trends and similar legislation( European Union’s GDPR) here are some fruitful changes in intermediaries and social media platforms experienced after the implementation of the DPDP Act 2023.

1. Solidified Consent Mechanism: Platforms and intermediatries need to ensure the users’ consent is categorically given, and informed, and should be specific to which the data is obtained. This step may lead to user-friendly consent forms activities and prompts. 
2. Data Minimizations: Platforms that tend to need to collect the only data necessary for the specific purpose mentioned and not retain information beyond its utility.
3. Transparency and Accountability: Data collecting Platforms need to ensure transparency in data collecting, data processing, and sharing practices. This involves more detailed policy and regular audits.
4. Data Portability: Users have the right to request for a copy of their own data used in format, allowing them to switch platforms effectively.
5. Right to Obligation: Users can have the request right to deletion of their data, also referred to as the “Right to be forgotten”.
6. Prescribed Reporting: Under circumstances of data breaches, intermediary platforms are required to report the issues and instability to the regulatory authorities within a specific timeline.
7. Data Protection Authorities: Due to the increase in data breaches, Large platforms indeed appoint data protection officers, which are responsible for the right compliance with data protection guidelines.
8. Disciplined Policies: Non-compliance might lead to a huge amount of fines, making it indispensable to invest in data protection measures.
9. Third-Party Audits: Intermediaries have to undergo security audits by external auditors to ensure they are meeting the expeditions of the following compliances.
10. Third-Party Information Sharing Restrictions: Sharing personal information and users’ data with third parties (such as advertisers) come with more detailed and disciplined guideline and user consent.

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Conclusion 

The Data Protection Data Privacy Act 2023 prioritises user consent, ensuring uninterrupted services and purpose-limited data processing. It aims to prevent data misuse, emphasising seamless user experiences and data minimisation. Drawing inspiration from global frameworks like the EU's GDPR, it introduces solidified consent mechanisms, transparency, and accountability. Users gain rights such as data portability and data deletion requests. Non-compliance results in significant fines. This legislation sets a new standard for user privacy and data protection, empowering users and holding platforms accountable. In an evolving digital landscape, it plays a crucial role in ensuring data security and responsible data handling.

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References:

• https://www.meity.gov.in/writereaddata/files/Digital%20Personal%20Data%20Protection%20Act%202023.pdf
• https://www.mondaq.com/india/privacy-protection/1355068/data-protection-law-in-india-analysis-of-dpdp-act-2023-for-businesses--part-i
• https://www.hindustantimes.com/technology/explained-indias-new-digital-personal-data-protection-framework-101691912775654.html

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