Florida AI News Site Faked Its Reporters, and 16 Others Exist
What happened
Why it matters
How to protect yourself
Sources
What happened
For roughly $10, a domain registration fee plus a short prompt to a generative AI tool, anyone can stand up a complete fake local news site in 15 to 20 minutes. Logo, mission statement, masthead, three or four fabricated reporters with AI-generated headshots and plausible bios, and a stream of articles that read like local journalism.
That is the cost structure a Philadelphia man named Drew Chapin demonstrated, live, to a Florida Trib reporter investigating his network of 17 AI-driven news sites. One of them, The South Florida Standard, drew more than 44,000 visitors and published more than 3,500 URLs of plagiarized, AI-rewritten content before being unmasked this month.
The fake editor-in-chief: Sofia Delgado
The South Florida Standard's masthead listed an editor-in-chief named Sofia Delgado. Her bio described her as a bilingual Hialeah native and mother of two. She had a professional headshot. She had a byline on dozens of articles. She looked, to a casual reader, like a real journalist.
She did not exist. Delgado's headshot was AI-generated. Her bio was constructed from regional cliches. Her bylined articles were plagiarized from real reporters at outlets like Florida Politics, then rewritten through a generative AI tool to obscure the source.
The fake business reporter: Grant Hollister
The site also listed a business and real estate reporter named Grant Hollister. AI-generated headshot. Fabricated bio claiming years of experience covering South Florida development. Articles lifted from legitimate business journalism and lightly rewritten. Hollister did not exist.
The fake sports reporter: DJ Lattimore
The sports reporter was DJ Lattimore. Same pattern: AI-generated headshot, fabricated bio, plagiarized content. As real as the other two, which is to say not real at all.
The response: denial, deletion, and shutdown
When confronted by Florida Trib reporter Kate Payne, the site initially claimed that all names were "randomly-generated by artificial intelligence" and that any matches to real people were "coincidental." Then staff began deleting bios from the masthead. Then the site took the entire operation offline. By the time the investigation was published, The South Florida Standard had ceased operations entirely. Coverage of the shutdown was reported by Mediaite and Futurism .
The operator: Drew Chapin
Payne identified the person behind the network as Drew Chapin, a Philadelphia-based operator of an online reputation firm called The Discoverability Company. Chapin pleaded guilty in 2021 to defrauding investors. His business model appears to have shifted from direct investment fraud to the creation of AI-generated news sites used for reputation laundering.
When Payne interviewed him, Chapin demonstrated how quickly he could spin up a fake news site. In 15 to 20 minutes, for a domain registration fee of about $10, he could produce a complete site: logo, masthead, AI-generated reporter bios, and a template for AI-rewritten articles.
The scale: 17 AI-driven sites
Chapin told Payne that his portfolio includes 17 AI-driven sites across multiple states. Among them: The South Florida Standard (exposed and shut down), The Charleston Sentinel (operating in South Carolina), and The San Francisco Download (operating in California). Across these sites, Payne's investigation found at least nine reporter personas that share names with real people accused or convicted of fraud, a pattern suggesting the fake bylines doubled as a reputation-laundering service.
An Orlando Sentinel column by Scott Maxwell highlighted the investigation, calling it "just the latest news scam in Florida" and pointing readers to Payne's original reporting. A WUWF public radio broadcast carried the investigation to a wider Florida audience.
Why it matters
The economics of fake news sites
The cost breakdown Chapin demonstrated to Payne reveals why fake news sites are proliferating. Domain registration: about $10 per year. Hosting: negligible. AI-generated logo and headshots: free or under $10. AI-rewritten articles: free. Total cost to launch: roughly $10 to $30 per site. Time investment: 15 to 20 minutes.
Once launched, a fake site can generate revenue through programmatic display advertising from networks that do not vet publishers, affiliate marketing embedded in articles, reputation laundering fees for individuals paying to have favorable articles written about them, and SEO backlink sales to clients who want links from what appears to be a legitimate news outlet.
The reputation laundering angle
The most significant aspect of Chapin's network is the apparent connection between fake bylines and real people with fraud convictions. The pattern Payne documented suggests a clear business model: a person with a negative online reputation pays to have a reporter persona using their name, which then writes favorable articles, which search engines index, which pushes damaging results down in rankings. This is reputation laundering, not journalism.
Kelly McBride of the Poynter Institute told Payne: "Clearly, whoever's behind this does not care about the truth." McBride's assessment is that these sites are not journalism and not even bad journalism. They are a different category entirely, content-shaped objects designed to exploit the infrastructure of the web.
Peter Schorsch of Florida Politics, one of the journalists whose work was plagiarized, offered a longer-term warning: "My real fear is that if the next generation of bots scrape info from these scammy sites to build their large language models, the answers people will get about political news will be of the lowest common denominator. It will be a copy of a copy of a copy of a fax sent to your phone."
The AI pink slime context
The South Florida Standard belongs to a category known as "pink slime" journalism, a term originally coined to describe partisan news sites that masquerade as legitimate local coverage. Before AI, these sites required real (if partisan) writers and editors. AI has made pink slime journalism dramatically cheaper to scale. A single operator can now run dozens of sites across multiple states, each with fabricated reporter personas, each publishing AI-rewritten content, with no salaries, no benefits, and a total infrastructure cost of a few hundred dollars.
The local news vacuum
Local news has been decimated over the past two decades. Thousands of local newspapers have closed. Communities that once had multiple sources of local journalism now have one source or none. The AI pink slime sites fill that gap, not with journalism but with content. A reader who does not know that The South Florida Standard is fake may accept it as their local news source. That is the real harm of the phenomenon: it replaces real local journalism with algorithmic content, and readers cannot tell the difference.
This is not the first time AI-generated personas have been used to manufacture credibility at scale. The AI-generated Emily Hart MAGA influencer case showed the same technique applied to a single political persona. The Sullivan and Cromwell AI hallucinations case demonstrated that AI-generated content can infiltrate legal and institutional contexts with equally damaging results. The Florida fake news network applies the same fabrication model at newsroom scale.
How to protect yourself
The AuthentiLens editorial team has distilled the Florida Trib investigation, Poynter Institute guidance, and broader research into six concrete protections for news consumers in 2026.
1. Check the reporter's digital footprint
A real journalist has a years-long trail: past bylines at other outlets, a LinkedIn profile with verifiable connections, mentions in industry directories like Muck Rack or Cision, and social media accounts with posting history going back years. A fake reporter has only a profile page on the site itself, social accounts created in the last few months, no traceable career before the publishing site, and a bio filled with generic regional cliches. See our guide on how to tell if someone online is real for the full verification checklist.
2. Reverse-image-search the reporter's headshot
This is the fastest single check. Right-click the headshot and select "Search image with Google," or use Google Lens, TinEye, or Yandex Image Search. Real reporter photos appear across years, on LinkedIn, on conference speaker pages, and in articles by other reporters. AI-generated headshots typically return no matches, or matches only to stock-photo generators and synthetic-face demo galleries. The image has never existed before. For a complete guide, see how to tell if a photo is fake or AI-generated .
You can also upload the headshot directly to the AuthentiLens AI Image Detector for a fast automated analysis of synthesis and manipulation signals.
3. Paste a paragraph into Google in quotes
AI-rewritten content often shares structural fingerprints with its source. Take a distinctive 10 to 15 word phrase and paste it into Google in quotation marks. If the search returns hits on an unrelated original outlet with a real reporter's name, the site you are reading is plagiarizing. This test is not definitive, but it is a useful red-flag check.
4. Look at the About page and the masthead
Real local news sites name their owner, their physical address, their phone number, their editorial board, and their ethics and corrections policies. Pink slime sites name none of these, or only a P.O. box, or a generic mission statement with no specifics. If the About page does not tell you who owns the site and where they are located, treat that as a meaningful red flag.
5. Treat unfamiliar news links with skepticism before sharing
Scammers rely on social sharing and search engines to distribute their content. Before you read, share, or quote from an unfamiliar news domain, look up the domain on NewsGuard (newsguardtech.com), a browser extension that rates news sites for credibility. Search for the site's name plus "scam" or "fake." Apply the same principles to news domains as to phishing links. See our guide on how to check if a link is suspicious and our broader guide on AI personas on social media for the full context on how these fake-identity networks operate.
6. Scan it with AuthentiLens
When you encounter an unfamiliar news site, reporter profile, or article, you do not have to become a media forensics expert. Paste the URL into the Suspicious Website Checker for domain and credibility analysis. Upload the reporter's headshot to the AI Image Detector for synthesis signals. Upload a profile screenshot to the Fake Profile Checker for combined analysis of photo, bio, and account structure. See our guide on how to spot a fake social media profile for the manual checklist to run alongside any automated scan.
What comes next
The South Florida Standard is gone. But Chapin's other 16 sites continue to operate. For every site that has been exposed, there are likely dozens more that have not. The detection of AI-generated fake news sites is an ongoing arms race: researchers are building better tools, search engines are updating their algorithms, and browsers are adding warning labels. But scammers are also improving. Each generation of AI models produces more convincing text and images. Each takedown leads to the creation of new sites on new domains.
The journalists who exposed The South Florida Standard recommend supporting real local journalism by subscribing to real newspapers and donating to public radio, being skeptical of unfamiliar news sources and verifying reporters before trusting them, and reporting suspicious sites to NewsGuard, the FTC, and the FBI's IC3. AuthentiLens is designed to make verification easy enough that it becomes a habit, not a chore.