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AI Is Taking Over Social Media, but Only 44% of People Are Confident They Can Spot It, CNET Finds

Half of social media users said they want better labels on AI-generated and edited posts.

AI slop has infected every social media platform, from soulless images to bizarre videos and superficially literate text. The vast majority of US adults who use social media (94%) believe they encounter content that was created or altered by AI, but only 44% of US adults say they’re confident they can tell real photos and videos from AI-generated ones, according to an exclusive CNET survey. That’s a big problem.

There are a lot of different ways people are fighting back against AI content. Some solutions are focused on better labels for AI-created content, since it’s harder than ever to trust our eyes. Of the 2,443 respondents who use social media, half (51%) believed we need better AI labels online. Others (21%) believe there should be a total ban on AI-generated content on social media. Only a small group (11%) of respondents say they find AI content useful, informative or entertaining.

AI isn’t going anywhere, and it’s fundamentally reshaping the internet and our relationship with it. Our survey shows that we still have a long way to go to reckon with it.

Key findings

  • Most US adults who use social media (94%) believe they encounter AI content on social media, yet far fewer (44%) can confidently distinguish between real and fake images and videos.
  • Many US adults (72%) said they take action to determine if an image or video is real, but some don’t do anything, particularly among Boomers (36%) and Gen Xers (29%).
  • Half of US adults (51%) believe AI-generated and edited content needs better labeling. 
  • One in five (21%) believe AI content should be prohibited on social media, with no exceptions.

US adults don’t feel they can spot AI media

Seeing is no longer believing in the age of AI. Tools like OpenAI’s Sora video generator and Google’s Nano Banana image model can create hyperrealistic media, with chatbots smoothly assembling swaths of text that sound like a real person wrote them. 

So it’s understandable that a quarter (25%) of US adults say they aren’t confident in their ability to distinguish real images and videos from AI-generated ones. Older generations, including Boomers (40%) and Gen X (28%), are the least confident. If folks don’t have a ton of knowledge or exposure to AI, they’re likely to feel unsure about their ability to accurately spot AI.

People take action to verify content in different ways

AI’s ability to mimic real life makes it even more important to verify what we’re seeing online. Nearly three in four US adults (72%) said they take some form of action to determine whether an image or video is real when it piques their suspicions, with Gen Z being the most likely (84%) of the age groups to do so. The most obvious — and popular — method is closely inspecting the images and videos for visual cues or artifacts. Over half of US adults (60%) do this. 

But AI innovation is a double-edged sword; models have improved rapidly, eliminating the previous errors we used to rely on to spot AI-generated content. The em dash was never a reliable sign of AI, but extra fingers in images and continuity errors in videos were once prominent red flags. Newer AI models usually don’t make those pedestrian mistakes. So we all have to work a little bit harder to determine what’s real and what’s fake.

As visual indicators of AI disappear, other forms of verifying content are increasingly important. The next two most common methods are checking for labels or disclosures (30%) and searching for the content elsewhere online (25%), such as on news sites or through reverse image searches. Only 5% of respondents reported using a deepfake detection tool or website.

But 25% of US adults don’t do anything to determine if the content they’re seeing online is real. That lack of action is highest among Boomers (36%) and those in Gen X (29%). This is worrisome — we’ve already seen that AI is an effective tool for abuse and fraud. Understanding the origins of a post or piece of content is an important first step to navigating the internet, where anything could be falsified.

Half of US adults want better AI labels

Many people are working on solutions to deal with the onslaught of AI slop. Labeling is a major area of opportunity. Labeling relies on social media users to disclose that their post was made with the help of AI. This can also be done behind the scenes by social media platforms, but it’s somewhat difficult, which leads to haphazard results. That’s likely why 51% of US adults believe that we need better labeling on AI content, including deepfakes. Support was strongest among Millennials and Gen Z, at 56% and 55%, respectively.

Other solutions aim to control the flood of AI content shared on social media. All of the major platforms allow AI-generated content, as long as it doesn’t violate their general content guidelines — nothing illegal or abusive, for example. But some platforms have introduced tools to limit the amount of AI-generated content you see in your feeds; Pinterest rolled out its filters last year, while TikTok is still testing some of its own. The idea is to give every person the ability to permit or exclude AI-generated content from their feeds.

But 21% of respondents believe that AI content should be prohibited on social media altogether, no exceptions allowed. That number is highest among Gen Z at 25%. When asked if they believed AI content should be allowed but strictly regulated, 36% said yes. Those low percentages may be explained by the fact that only 11% find AI content provides meaningful value — that it’s entertaining, informative or useful — and that 28% say it provides little to no value.

How to limit AI content and spot potential deepfakes

Your best defense against being fooled by AI is to be eagle-eyed and trust your gut. If something is too weird, too shiny or too good to be true, it probably is. But there are other steps you can take, like using a deepfake detection tool. There are many options; I recommend starting with the Content Authenticity Initiative‘s tool, since it works with several different file types. 

You can also check out the account that shared the post for red flags. Many times, AI slop is shared by mass slop producers, and you’ll easily be able to see that in their feeds. They’ll be full of weird videos that don’t seem to have any continuity or similarities between them. You can also check to see if anyone you know is following them or if that account isn’t following anyone else (that’s a red flag). Spam posts or scammy links are also indications that the account isn’t legit.

If you want to limit the AI content you see in your social feeds, check out our guides for turning off or muting Meta AI in Instagram and Facebook and filtering out AI posts on Pinterest. If you do encounter slop, you can mark the post as something you’re not interested in, which should indicate to the algorithm that you don’t want to see more like it. Outside of social media, you can disable Apple Intelligence, the AI in Pixel and Galaxy phones and Gemini in Google Search, Gmail and Docs. 

Even if you do all this and still get occasionally fooled by AI, don’t feel too bad about it. There’s only so much we can do as individuals to fight the gushing tide of AI slop. We’re all likely to get it wrong sometimes. Until we have a universal system to effectively detect AI, we have to rely on the tools we have and our ability to educate each other on what we can do now.

Methodology

CNET commissioned YouGov Plc to conduct the survey. All figures, unless otherwise stated, are from YouGov Plc. The total sample size was 2,530 adults, of which 2,443 use social media. Fieldwork was undertaken Feb. 3-5, 2026. The survey was carried out online. The figures have been weighted and are representative of all US adults (aged 18 plus).

Technologies

Passengers and crew foil co-pilot’s apparent attempt to crash FlyDubai flight to Israel

One of the pilots on a FlyDubai flight headed for Israel stabbed the second pilot, according to Israeli Prime Minister Benjamin Netanyahu.

On-duty flight crew and passengers managed to foil a pilot’s apparent attempt to crash a FlyDubai flight, after reports emerged of a fight in the cockpit.

The incident on flight FZ1073 from Dubai to Tel Aviv happened when a co-pilot stabbed a pilot, according to Israeli Prime Minister Benjamin Netanyahu, who praised the victim’s quick thinking.

“Despite being stabbed and seriously injured, he fought back, resisted, opened the cockpit door, and enabled passengers and crew to overpower the attacker — preventing a catastrophic mid-air disaster. He saved the lives of 174 people, including Israeli citizens and other nationals,” Netanyahu wrote in a post on X.

FZ1073 was diverted to the Tabuk airport in Saudi Arabia, the airline said, after being successfully secured and diverted by flight crew.

FlyDubai in a statement said that an “altercation” occurred on the flight deck of the plane, but did not mention a stabbing.

However, the airline added that the underlying reasons and motives for the clash is currently unknown, urging all parties to refrain from speculation.

The injured pilot was identified by Netanyahu as Indian national Smit Machchhar. No details have been released on the identity of the attacker, except that he was being interrogated by Saudi authorities.

The Indian embassy in Riyadh said on X that Machchhar is in a hospital in Tabuk, and is reported to be in stable condition.

The Israeli Prime Minister also identified the passenger who broke into the cockpit as Yaniv Hayun, calling him a “hero” and adding he deserved “a global medal of honor.”

Flight data from tracking site FlightRadar24 showed that the plane had experienced extreme altitude fluctuations before broadcasting a “general emergency” squawk code.

FZ1073 had dropped from over 14,000 feet in just 29 seconds, and FlightRadar24 also added that vertical speeds ranging from approximately -30,000 to +10,000 feet per minute were observed from the transponder data.

For context, vertical speeds during normal operations rarely exceed plus or minus 4,000 feet per minute, it added.

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Technologies

South Korean President Lee Reins In Alaska LNG Project Participation Following Trump’s Endorsement

South Korea’s proposed $200 billion U.S. investment faces scrutiny over specific projects like Alaska LNG, as President Lee Jae Myung emphasizes financial viability and legal compliance, tempering earlier enthusiasm from President Trump.

South Korea’s proposed $200 billion investment in the U.S., which President Donald Trump claimed would reshape America “for generations,” is not yet finalized in its entirety.

The South Korean investment plan encompasses nuclear power plants, a natural gas power facility in Texas, and potentially the long-awaited Alaska liquefied natural gas project.

Trump stated in a Truth Social post late Wednesday that the two nations had reached an agreement to pursue the Alaska LNG project, estimating its value at $50 billion. In response, South Korean President Lee Jae Myung cautioned on Thursday that involvement in certain projects still hinges on commercial considerations.

Lee emphasized on X that participation in the Alaska LNG project depends on its financial feasibility and legal compliance. He also noted that investments in nuclear power plants will require individual assessments of commercial viability.

The U.S.-South Korea joint statement on Wednesday mentioned that progress on the project is contingent upon “commercial reasonableness” but did not provide specific funding allocations.

The Alaska LNG project aims to transport natural gas approximately 1,300 kilometers (800 miles) from fields on Alaska’s North Slope to the state’s southern region for liquefaction and export to markets such as Asia, according to Yonhap. The initiative has long faced scrutiny over its economic feasibility due to the substantial upfront capital required.

Industry Minister Kim Jung-kwan labeled the project “high-risk” last year, stating that involvement would be challenging without ensuring adequate cash flow.

Overall, the investment package includes $22.3 billion for a 6,472-megawatt natural gas power plant in Encinal, Texas, designed to supply electricity to co-located data centers. The project will be spearheaded by developer Related Cos. and U.S. energy company NextEra Energy.

Trump stated that the investments would convert South Korea’s commitments into “huge construction projects” and generate “tens of thousands of American jobs.”

“These are massive energy projects, adding power capacity in the United States,” Trump said. “This is new construction, new manufacturing, and great jobs for American workers.”

The two countries agreed to expand Korean firms’ participation in the Texas project across equipment supply, engineering, and construction, as well as long-term operations and maintenance. The U.S. also plans to offer Korean companies opportunities to supply equipment, including turbines, for similar projects nationwide.

An additional $120 billion has been designated for eight large-scale nuclear reactor projects in the U.S. Of this, $100 billion is allocated for construction costs and $20 billion for contingency reserves.

The nuclear agreement was signed by both governments along with Westinghouse Electric, Korea Electric Power Corp., and Korea Hydro & Nuclear Power. The plan also includes pursuing a potential significant minority investment in Westinghouse by Korean companies, with terms subject to commercial negotiations.

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Technologies

SEC Advances Crypto Custody Rules as Major Legislation Languishes in Congress

The SEC has proposed new crypto custody rules for investment advisers and funds while comprehensive legislation remains stalled in Congress, creating a regulatory pathway for digital asset holdings.

The U.S. Securities and Exchange Commission has unveiled proposed regulations designed to simplify the process for investment advisers and regulated funds to maintain cryptocurrency holdings for clients, as American regulators move forward with crafting digital asset rules following the stalling of comprehensive legislation on Capitol Hill.

The proposal, revealed Thursday, would create a specialized framework governing how registered investment advisers, investment companies, and business development companies maintain custody of crypto assets.

The modifications aim to update decades-old custody requirements and eliminate regulatory obstacles that the SEC says have restricted advisers’ capacity to provide crypto-related investment options.

Under the proposed regulations, crypto assets could be held in self-custody under “certain circumstances,” while state trust companies could also function as custodians for crypto assets belonging to clients and regulated funds.

The changes could also grant regulated funds expanded authority to offer investors crypto-related investment strategies, according to the SEC.

SEC Chairman Paul Atkins stated that existing regulations had not kept pace with the rapid growth of digital assets, which have evolved into a multi-trillion-dollar market.

“Today’s proposal would provide a clear regulatory framework for the custody of crypto assets, giving investment advisers and funds a compliant pathway where none existed before,” Atkins said.

The proposal arrives as U.S. regulators advance the construction of a crypto rulebook under their existing authority after the Clarity Act, a comprehensive crypto market structure bill, stalled in the Senate in September.

This represents another step in the SEC’s broader initiative to reshape the U.S. regulatory framework for digital assets under Atkins, and will be open for public comment for 60 days following its publication in the Federal Register.

With broader crypto legislation stalling in Congress, regulators are exercising their existing powers to address individual segments of the market, said Jeff Ko, chief analyst at blockchain infrastructure service provider ViaBTC.

“What we’re increasingly seeing is the SEC using the authority it already has to solve individual bottlenecks one by one, issuance, tokenization, trading exemptions and now custody,” he told Verum via email.

The changes could also intensify competition among crypto custodians, potentially reducing the cost and complexity of investing in digital assets, he said, adding that institutional custody has historically been concentrated among a relatively small number of providers.

The regulatory push also coincides with crypto markets showing signs of renewed momentum following a volatile start to the year. Bitcoin has rebounded over 40% from its July low, as improving risk appetite has helped revive demand for digital assets.

The recovery follows a prolonged downturn from late 2025 into the first half of 2026.

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