#FactCheck - Old Japanese Earthquake Footage Falsely Linked to Tibet

Executive Summary:

A social media viral post claims to show a mosque being set on fire in India, contributing to growing communal tensions and misinformation. However, a detailed fact-check has revealed that the footage actually comes from Indonesia. The spread of such misleading content can dangerously escalate social unrest, making it crucial to rely on verified facts to prevent further division and harm.

Claim:

The viral video claims to show a mosque being set on fire in India, suggesting it is linked to communal violence.

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Fact Check

The investigation revealed that the video was originally posted on 8th December 2024. A reverse image search allowed us to trace the source and confirm that the footage is not linked to any recent incidents. The original post, written in Indonesian, explained that the fire took place at the Central Market in Luwuk, Banggai, Indonesia, not in India.

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Conclusion: The viral claim that a mosque was set on fire in India isn’t True. The video is actually from Indonesia and has been intentionally misrepresented to circulate false information. This event underscores the need to verify information before spreading it. Misinformation can spread quickly and cause harm. By taking the time to check facts and rely on credible sources, we can prevent false information from escalating and protect harmony in our communities.

• Claim:  The video shows a mosque set on fire in India
• Claimed On: Social Media
• Fact Check: False and Misleading

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Executive Summary:

A viral online video claims Billionaire and Founder of Tesla & SpaceX Elon Musk of promoting Cryptocurrency. The CyberPeace Research Team has confirmed that the video is a deepfake, created using AI technology to manipulate Elon’s facial expressions and voice through the use of relevant, reputed and well verified AI tools and applications to arrive at the above conclusion for the same. The original footage had no connections to any cryptocurrency, BTC or ETH apportion to the ardent followers of crypto-trading. The claim that Mr. Musk endorses the same and is therefore concluded to be false and misleading.

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Claims:

A viral video falsely claims that Billionaire and founder of Tesla Elon Musk is endorsing a Crypto giveaway project for the crypto enthusiasts which are also his followers  by consigning a portion of his valuable Bitcoin and Ethereum stock.

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Post link

Fact Check:

Upon receiving the viral posts, we conducted a Google Lens search on the keyframes of the video. The search led us to various legitimate sources featuring Mr. Elon Musk but none of them included any promotion of any cryptocurrency giveaway. The viral video exhibited signs of digital manipulation, prompting a deeper investigation.

We used AI detection tools, such as TrueMedia.org, to analyze the video. The analysis confirmed with 99.0% confidence that the video was a deepfake. The tools identified "substantial evidence of manipulation," particularly in the facial movements and voice, which were found to be artificially generated.

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Analysis link

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Additionally, an extensive review of official statements and interviews with Mr. Musk revealed no mention of any such giveaway. No credible reports were found linking Elon Musk to this promotion, further confirming the video’s inauthenticity.

Conclusion:

The viral video claiming that Elon Musk promotes a crypto giveaway is a deep fake. The research using various tools such as Google Lens, AI detection tool confirms that the video is manipulated using AI technology. Additionally, there is no information in any official sources. Thus, the CyberPeace Research Team confirms that the video was manipulated using AI technology, making the claim false and misleading.

• Claim: Elon Musk conducting giving away Cryptocurrency viral on social media.
• Claimed on: X(Formerly Twitter)
• Fact Check: False & Misleading

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Introduction

AI-generated fake videos are proliferating on the Internet indeed becoming more common by the day. There is a use of sophisticated AI algorithms that help manipulate or generate multimedia content such as videos, audio, and images. As a result, it has become increasingly difficult to differentiate between genuine, altered, or fake content, and these AI-manipulated videos look realistic. A recent study has shown that 98% of deepfake-generated videos have adult content featuring young girls, women, and children, with India ranking 6th among the nations that suffer from misuse of deepfake technology. This practice has dangerous consequences and could harm an individual's reputation, and criminals could use this technology to create a false narrative about a candidate or a political party during elections.

The working of deepfake videos is based on algorithms that refine the fake content, and the generators are built and trained in such a way as to get the desired output. The process is repeated several times, allowing the generator to improve the content until it seems realistic, making it more flawless. Deepfake videos are created by specific approaches some of them are: -

• Lip syncing: This is the most common technique used in deepfake. Here, the voice recordings of the video, make it appear as to what was originally said by the person appearing in the video.
• Audio deepfake:  For Audio-generated deepfake, a generative adversarial network (GAN) is used to colon a person’s voice, based on the vocal patterns and refine it till the desired output is generated.

• Deepfake has become so serious that the technology could be used by bad actors or by cyber-terrorist squads to set their Geo-political agendas.  Looking at the present situation in the past few the number of cases has just doubled, targeting children, women and popular faces. 

• Greater Risk: in the last few years the cases of deep fake have risen. by the end of the year 2022, the number of cases has risen to 96% against women and children according to a survey.
• Every 60 seconds, a deepfake pornographic video is created, now quicker and more affordable than ever, it takes less than 25 minutes and costs using just one clean face image.  
• The connection to deepfakes is that people can become targets of "revenge porn" without the publisher having sexually explicit photographs or films of the victim. They may be made using any number of random pictures or images collected from the internet to obtain the same result. This means that almost everyone who has taken a selfie or shared a photograph of oneself online faces the possibility of a deepfake being constructed in their image.

Deepfake-related security concerns

As deepfakes proliferate, more people are realising that they can be used not only to create non-consensual porn but also as part of disinformation and fake news campaigns with the potential to sway elections and rekindle frozen or low-intensity conflicts.

Deepfakes have three security implications: at the international level, strategic deepfakes have the potential to destroy precarious peace; at the national level, deepfakes may be used to unduly influence elections, and the political process, or discredit opposition, which is a national security concern, and at the personal level, the scope for using Women suffer disproportionately from exposure to sexually explicit content as compared to males, and they are more frequently threatened. 

Policy Consideration

Looking at the present situation where the cases of deepfake are on the rise against women and children, the policymakers need to be aware that deepfakes are utilized for a variety of valid objectives, including artistic and satirical works, which policymakers should be aware of. Therefore, simply banning deepfakes is not a way consistent with fundamental liberties. One conceivable legislative option is to require a content warning or disclaimer. Deepfake is an advanced technology and misuse of deepfake technology is a crime.

What are the existing rules to combat deepfakes?

It's worth noting that both the IT Act of 2000 and the IT Rules of 2021 require social media intermediaries to remove deep-fake videos or images as soon as feasible. Failure to follow these guidelines can result in up to three years in jail and a Rs 1 lakh fine. Rule 3(1)(b)(vii) requires social media intermediaries to guarantee that its users do not host content that impersonates another person, and Rule 3(2)(b) requires such content to be withdrawn within 24 hours of receiving a complaint. Furthermore, the government has stipulated that any post must be removed within 36 hours of being published online. Recently government has also issued an advisory to social media intermediaries to identify misinformation and deepfakes.

Conclusion

It is important to foster ethical and responsible consumption of technology. This can only be achieved by creating standards for both the creators and users, educating individuals about content limits, and providing information. Internet-based platforms should also devise techniques to deter the uploading of inappropriate information. We can reduce the negative and misleading impacts of deepfakes by collaborating and ensuring technology can be used in a better manner.  

References

• https://timesofindia.indiatimes.com/life-style/parenting/moments/how-social-media-scandals-like-deepfake-impact-minors-and-students-mental-health/articleshow/105168380.cms?from=mdr
• https://www.aa.com.tr/en/science-technology/deepfake-technology-putting-children-at-risk-say-experts/2980880
• https://wiisglobal.org/deepfakes-as-a-security-issue-why-gender-matters/