Fake Images, Videos in Wartime: How to Tell Fact from Deepfakes

Misinformation spreads rapidly on social media during crises and conflicts (Shutterstock)
Misinformation spreads rapidly on social media during crises and conflicts (Shutterstock)
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Fake Images, Videos in Wartime: How to Tell Fact from Deepfakes

Misinformation spreads rapidly on social media during crises and conflicts (Shutterstock)
Misinformation spreads rapidly on social media during crises and conflicts (Shutterstock)

As tensions escalate across several fronts in the Middle East, information is spreading almost as quickly as the events themselves.

Social media platforms are often the first place where images, videos, and reports of alleged attacks or military developments appear.

But alongside legitimate information, a wave of misleading or fabricated content is also circulating online, making it increasingly difficult to separate fact from fiction.

A Growing Digital Challenge

Cybersecurity experts warn that the rapid spread of misinformation, particularly through manipulated videos and deepfake technologies, has become a growing digital threat during periods of geopolitical instability.

Maher Yamout, Lead Security Researcher at Kaspersky, told Asharq Al-Awsat that distinguishing reliable information from false narratives becomes especially critical during emergencies, when emotions run high, and people tend to share content quickly without verifying it.

“With developments unfolding in the Middle East, government authorities in Gulf Cooperation Council countries have warned against publishing or circulating information from unknown sources,” he said.

“Fake news, misleading or inaccurate information presented as real news, becomes more dangerous during emergencies.”

Misinformation Spreads Fast

Fake news is not new, but its scale and speed have changed dramatically with the rise of social media and artificial intelligence tools. During periods of geopolitical tension, unverified reports or manipulated videos can spread within minutes, reaching millions before fact-checkers can respond.

Experts generally divide fake news into two main categories. The first involves fully fabricated content designed to influence public opinion or attract traffic to specific websites. The second contains elements of truth but presents them inaccurately because the author failed to verify all the facts or exaggerated certain details.

Both can confuse audiences during crises, particularly when users rely on social media rather than trusted news outlets for updates.

Authorities in several countries have also warned that sharing inaccurate information, even unintentionally, may expose users to legal accountability.

Governments and digital security experts are therefore urging greater digital awareness and responsibility when sharing information during sensitive periods.

AI-Powered Deception

Artificial intelligence has added a new layer to the misinformation problem through so-called deepfake technologies, fabricated videos created using machine learning techniques such as face swapping or synthetic visual generation.

In some cases, authentic footage can be altered to appear as if it documents events that never occurred.

Yamout said verifying information has become more important than ever with the spread of deepfakes.

“Artificial intelligence makes it possible to combine different video clips to produce new scenes showing events or actions that never happened in reality, often with highly realistic results,” he said.

Such technology can make manipulated videos appear convincing and potentially mislead users, especially when they circulate in emotionally charged contexts. Edited clips may appear to show attacks, military movements, or political statements that never took place.

Even when these videos are later debunked, their initial spread can still trigger confusion or public anxiety.

How to Verify Information

Cybersecurity experts say users themselves play a key role in limiting the spread of misinformation. While platforms and regulators are developing tools to detect fake content, individuals can take simple steps to verify information before sharing it.

The first step is checking the source. Websites that publish false information may contain spelling errors in their web addresses or use unusual domains that mimic well-known media outlets.

Yamout advises carefully reviewing the website address and checking the “About Us” section on unfamiliar sites. It is generally safer to rely on official sources such as government websites or trusted media organizations.

Users should also verify the identity of the author or the organization behind the report. If the author is unknown or lacks clear expertise in the subject, the information should be treated cautiously.

Comparing reports with other credible sources is also important. Professional news organizations follow editorial guidelines and verification procedures, meaning major events are typically reported by multiple reputable outlets.

Yamout also highlighted the importance of checking dates and timelines, noting that some misleading content recirculates old events and presents them as recent developments.

He added that social media algorithms can create so-called “echo chambers,” where users are shown content that aligns with their existing views and interests. This makes it essential to consult diverse and reliable sources before forming conclusions.

Playing on Emotions

Many fake news stories are designed to provoke strong emotional reactions. Sensational headlines or dramatic clips are often crafted to trigger fear, anger, or shock, emotions that increase the likelihood that users will quickly share the content.

“Many fake news stories are written in a clever way to provoke strong emotional reactions,” Yamout said.

Maintaining critical thinking and asking a simple question — why was this story written? — can help users avoid spreading misinformation, he added.

This dynamic is amplified on social media platforms, where algorithms tend to promote content that generates strong engagement. Emotionally charged posts can therefore spread faster than balanced reporting.

Spotting Signs of Manipulation

Images and videos themselves may provide clues that they have been altered. Edited photos may display distorted background lines, unnatural shadows, or unrealistic skin tones.

In manipulated videos, inconsistencies may appear in lighting, eye movement, or facial expressions. While these signs are not always easy to detect, particularly on smartphones, they can raise doubts about the authenticity of widely shared clips.

A Shared Digital Responsibility

Experts say limiting the spread of misinformation during crises requires cooperation among governments, technology companies, media organizations, and users.

Yamout said the simplest rule may also be the most effective: “If you are not sure the content is accurate, do not share it.”

Responsible sharing can help curb the spread of misinformation and protect digital communities.

As digital platforms continue to shape how information travels across borders, the ability to critically evaluate online content is becoming an essential skill.

During periods of geopolitical tension and conflict, when rumors and facts can blur, the challenge is not only cybersecurity but also protecting the credibility of information itself.



OpenAI Begins Rollout of New Powerful AI Model GPT-6 Astra

The OpenAI logo in this illustration taken June 11, 2026. (Reuters)
The OpenAI logo in this illustration taken June 11, 2026. (Reuters)
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OpenAI Begins Rollout of New Powerful AI Model GPT-6 Astra

The OpenAI logo in this illustration taken June 11, 2026. (Reuters)
The OpenAI logo in this illustration taken June 11, 2026. (Reuters)

ChatGPT maker OpenAI said Thursday it would begin rolling out its newest and most powerful artificial intelligence (AI) model to select customers, saying it had built in safeguards to mitigate security risks.

"At this level of capability, safety has to become our top priority," OpenAI President Greg Brockman told reporters on a call about the release of GPT-6, also known as Astra.

Just over a year has passed since OpenAI launched the previous version of its flagship model, GPT-5, said AFP.

Concerns about the capabilities of advanced models have grown since then, following incidents involving systems built by OpenAI and rival developer Anthropic.

OpenAI paused some model development for two weeks this summer after two models it was testing were involved in a security breach at AI platform Hugging Face.

The San Francisco-based company said Astra was developed with stronger safeguards after that incident, though Astra itself was not involved in the hack.

Some cybersecurity customers will get access to the new model Thursday, the company said, with a wider rollout to other paying customers to follow. Users on the free tier or the cheapest paid plan will not get access.

"We are working towards getting Astra in everyone's hands as quickly as we can; I know it is frustrating and I appreciate the patience. It should be quick," OpenAI CEO Sam Altman posted on social media Thursday afternoon.

In a blog post, OpenAI said Astra can autonomously handle a wide range of "tedious" computer tasks, including website creation, scientific analysis, game development, cybersecurity and coding.

To illustrate the time savings of building autonomous AI agents with Astra, the company said the model could cut apartment hunting from six hours to under 10 minutes.

"It's not unreasonable to feel that we are now in the AGI era," Brockman said on the call, referring to artificial general intelligence, a hypothetical stage at which AI systems match human intelligence across most tasks.

OpenAI previously had an agreement with Microsoft, one of its earliest and largest investors, under which an exclusivity clause would end once OpenAI reached AGI. Those terms were scrapped in April.

- 'Limited window' -

OpenAI chief scientist Jakub Pachocki acknowledged there was still uncertainty about how a new model behaves once released.

"A model can become very good at achieving a goal, and it can still act in ways that go against what the person intended," Pachocki said on the same call.

"We also have to be willing to slow down or withhold further scaling when our confidence in safety is not sufficient," he added.

Altman explained in an interview with Bloomberg TV on Thursday afternoon why the company decided to release a new model with this level of uncertainty and risk.

"The world is very close to a complete change in the landscape of cyber attacks, and the only way that we see for society to collectively defend itself... is to use tools like Astra to rapidly defend against these new cyber threats," Altman said.

In July OpenAI confirmed that it had reached one billion active users across all of its products, including both free and paid users.

OpenAI, Anthropic and more than 100 other organizations signed an open letter last week calling for a coordinated global response to AI-related cybersecurity risks, warning that the window to strengthen cyber defenses was limited.

Anthropic went further on Monday, calling for industry-wide coordination on safety and on the pace of developing increasingly capable models.

"I believe that shared safety standards and international coordination on further AI development need to be prioritized now," OpenIA's Pachocki said on Thursday.

The US state of Alabama opened an investigation into OpenAI last week over the Hugging Face breach, his office citing what it called the company's complete lack of oversight and adequate safeguards.

It also comes as OpenAI and rival Anthropic are both racing towards becoming public companies over the next several months, though OpenAI might not hold its IPO till sometime in 2027, according to reports.


Deputy CEO of NCAI Highlights AI’s Future at DeepFest 2026

Deputy CEO of the National Center for Artificial Intelligence (NCAI) Dr. Hotham Altwaijry said the future of AI will be shaped by countries that can maximize the value of their technologies.(SPA)
Deputy CEO of the National Center for Artificial Intelligence (NCAI) Dr. Hotham Altwaijry said the future of AI will be shaped by countries that can maximize the value of their technologies.(SPA)
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Deputy CEO of NCAI Highlights AI’s Future at DeepFest 2026

Deputy CEO of the National Center for Artificial Intelligence (NCAI) Dr. Hotham Altwaijry said the future of AI will be shaped by countries that can maximize the value of their technologies.(SPA)
Deputy CEO of the National Center for Artificial Intelligence (NCAI) Dr. Hotham Altwaijry said the future of AI will be shaped by countries that can maximize the value of their technologies.(SPA)

Deputy CEO of the National Center for Artificial Intelligence (NCAI) Dr. Hotham Altwaijry said the future of AI will be shaped by countries that can maximize the value of their technologies. He explained that the current phase requires greater focus on using AI optimally and harnessing its potential to achieve tangible impact that benefits humanity and society, the Saudi Press Agency said on Friday.

His remarks came during the opening session of the fourth and final day of DeepFest 2026. He highlighted the evolving relationship between humans and AI, as well as technology's role in enhancing human capabilities and improving experiences.

Altwaijry explained that SDAIA recognized early on that a meaningful partnership between humans and AI cannot be achieved through algorithms, models, and technical concepts alone. Rather, it requires enabling individuals to experience AI’s potential firsthand.

He noted that AI has now become an integral part of today’s work environments, contributing to software development and testing, analyzing and preparing business requirements, and giving individuals greater space to focus on user experience, creativity, and exploring new ideas and solutions.


Abu Dhabi AI Institute Releases Fully Open-Source Models With Training Data, Code

A view of the UAE capital, Abu Dhabi (Asharq Al-Awsat)
A view of the UAE capital, Abu Dhabi (Asharq Al-Awsat)
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Abu Dhabi AI Institute Releases Fully Open-Source Models With Training Data, Code

A view of the UAE capital, Abu Dhabi (Asharq Al-Awsat)
A view of the UAE capital, Abu Dhabi (Asharq Al-Awsat)

Abu Dhabi-based research institute IFM on Thursday released six artificial intelligence models together with the data and methods used to build them, challenging an industry trend toward increasingly secretive AI development.

The K2 Horizon release includes model weights, training data, code, methodologies and intermediate checkpoints, allowing researchers to retrace the models' development process and reproduce results, IFM founder Eric Xing told Reuters.

The move goes beyond the "open-weight" approach used by some Chinese developers, which make models available for download but provide limited insight into how they were built, and contrasts with the more closed development practices of companies such as OpenAI and Anthropic, which neither release their models for download nor disclose the data and techniques behind them.

"Our goal with this release is to establish a reference point for what a truly open model release can look like," Xing said.

He said the release was also intended to show policymakers, regulators and public-interest advocates that "openness and competitive performance are not mutually exclusive."

The launch forms part of the UAE's push to establish itself as a global AI hub.

The model family ranges from one designed for smartwatches and other constrained devices to a 375-billion-parameter system for enterprise deployments.