#FactCheck - Uncovered: Viral LA Wildfire Video is a Shocking AI-Generated Fake!
Executive Summary:
A viral post on X (formerly Twitter) has been spreading misleading captions about a video that falsely claims to depict severe wildfires in Los Angeles similar to the real wildfire happening in Los Angeles. Using AI Content Detection tools we confirmed that the footage shown is entirely AI-generated and not authentic. In this report, we’ll break down the claims, fact-check the information, and provide a clear summary of the misinformation that has emerged with this viral clip.

Claim:
A video shared across social media platforms and messaging apps alleges to show wildfires ravaging Los Angeles, suggesting an ongoing natural disaster.

Fact Check:
After taking a close look at the video, we noticed some discrepancy such as the flames seem unnatural, the lighting is off, some glitches etc. which are usually seen in any AI generated video. Further we checked the video with an online AI content detection tool hive moderation, which says the video is AI generated, meaning that the video was deliberately created to mislead viewers. It’s crucial to stay alert to such deceptions, especially concerning serious topics like wildfires. Being well-informed allows us to navigate the complex information landscape and distinguish between real events and falsehoods.

Conclusion:
This video claiming to display wildfires in Los Angeles is AI generated, the case again reflects the importance of taking a minute to check if the information given is correct or not, especially when the matter is of severe importance, for example, a natural disaster. By being careful and cross-checking of the sources, we are able to minimize the spreading of misinformation and ensure that proper information reaches those who need it most.
- Claim: The video shows real footage of the ongoing wildfires in Los Angeles, California
- Claimed On: X (Formerly Known As Twitter)
- Fact Check: Fake Video
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Executive Summary:
A viral online video claims to show a Syrian prisoner experiencing sunlight for the first time in 13 years. However, the CyberPeace Research Team has confirmed that the video is a deep fake, created using AI technology to manipulate the prisoner’s facial expressions and surroundings. The original footage is unrelated to the claim that the prisoner has been held in solitary confinement for 13 years. The assertion that this video depicts a Syrian prisoner seeing sunlight for the first time is false and misleading.

Claims:
A viral video falsely claims that a Syrian prisoner is seeing sunlight for the first time in 13 years.


Factcheck:
Upon receiving the viral posts, we conducted a Google Lens search on keyframes from the video. The search led us to various legitimate sources featuring real reports about Syrian prisoners, but none of them included any mention of such an incident. The viral video exhibited several signs of digital manipulation, prompting further investigation.

We used AI detection tools, such as TrueMedia, to analyze the video. The analysis confirmed with 97.0% confidence that the video was a deepfake. The tools identified “substantial evidence of manipulation,” particularly in the prisoner’s facial movements and the lighting conditions, both of which appeared artificially generated.


Additionally, a thorough review of news sources and official reports related to Syrian prisoners revealed no evidence of a prisoner being released from solitary confinement after 13 years, or experiencing sunlight for the first time in such a manner. No credible reports supported the viral video’s claim, further confirming its inauthenticity.
Conclusion:
The viral video claiming that a Syrian prisoner is seeing sunlight for the first time in 13 years is a deep fake. Investigations using tools like Hive AI detection confirm that the video was digitally manipulated using AI technology. Furthermore, there is no supporting information in any reliable sources. The CyberPeace Research Team confirms that the video was fabricated, and the claim is false and misleading.
- Claim: Syrian prisoner sees sunlight for the first time in 13 years, viral on social media.
- Claimed on: Facebook and X(Formerly Twitter)
- Fact Check: False & Misleading
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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)

What is Juice Jacking?
We all use different devices during the day, but they converge to a common point when the battery runs out, the cables and adaptors we use to charge the devices are daily necessities for everyone. These cables and adaptors have access to the only port in the phones and hence are used for juice-jacking attacks. Juice jacking is when someone installs malware or spyware software in your device using an unknown charging port or cable.
How does juice jacking work?
We all use phones and gadgets, like I-phones, smartphones, Android devices: and smartwatches, to simplify our lives. But one thing common in it is the charging cables or USB ports, as the data and power supply pass through the same port/cable.
This is potentially a problem with devastating consequences. When your phone connects to another device, it pairs with it (ports/cables) and establishes a trusted relationship. That means the devices can exchange data. During the charging process, the USB cord opens a path into your device that a cybercriminal can exploit.
There is a default setting in the phones where data transfer is disabled, and the connections which provide the power are visible at the end. For example, in the latest models, when you plug your device into a new port or a computer, a question is pooped asking whether the device is trusted. The device owner cannot see what the USB port connects to in case of juice jacking. So, if you plug in your phone and someone checks on the other end, they may be able to transfer data between your device and theirs, thus leading to a data breach.
A leading airline was recently hacked into, which caused delayed flights across the country. When investigated, it was found that malware was planted in the system by using a USB port, which allowed the hackers access to critical data to launch their malware attack.
FBI’s Advisory
Federal Bureau of Investigation and other Interpol agencies have been very critical of cybercriminals. Inter-agency cooperation has improved the pace of investigation and chances of apprehending criminals. In a tweet by the FBI, the issue of Juice Jakcking was addressed, and public places like airports, railways stations, shopping malls etc., are pinpointed places where such attacks have been seen and reported. These places offer easy access to charging points for various devices, which are the main targets for bad actors. The FBI advises people not to use the charging points and cables at airports, railways stations and hotels and also lays emphasis upon the importance of carrying your own cable and charger.
Tips to protect yourself from juice jacking
There are a few simple and effective tips to keep your smart devices smart, such as –
- Avoid using public charging stations: The best way to protect yourself and your devices is to avoid public charging stations it’s always a good habit to charge your phones in your car, at home, and in offices when not in use.
- Using a wall outlet is a safer option: If it’s too urgent for you to use a public station, try to use wall outlets rather than poles because data can’t get easily transferred.
- Use other methods/modes of charging: If you are travelling, carrying a power bank is always safe, as it is easy to carry.
- Software security: – It’s always advised to update your phone’s software regularly. Once connected to the charging station, lock your device. This will prevent it from syncing or transferring data.
- Enable Airplane mode while charging: If you need to charge your phone from an unknown source in a public area, it is advisable to put the phone on airplane mode or switch it off to prevent anyone from gaining access to your device through any open network.
However, many mobile phones (including iPhones) turn on automatically when connected to power. As a result, your mileage may vary. This is an effective safeguard if your phone does not turn on automatically when connected to power.
Conclusion
As of present, juice-jacking attacks are less frequent. While not the most common type of attack today, the number of occurrences is expected to rise as smartphone gadget usage and penetration are rising across the globe. Our cyber safety and security are in our hands, and hence protecting them is our paramount digital duty. Always remember we see no harm in charging ports, but that doesn’t mean that the possibility of a threat can be ruled out completely. With the increased use of ports for charging, earphones, and data transfer, such crimes will continue and evolve with time. Thus, it is essential to counter these attacks by sharing knowledge and awareness of such crimes and reporting them to competent authorities to eradicate the menace of cybercriminals from our digital ecosystem.