Thiel-backed startup claims AI can judge journalism, despite risks to whistleblowers

Following his role in the lawsuit that led to Gawker’s bankruptcy, Aron D’Souza identified a critical flaw in the American media landscape: individuals harmed by coverage lacked effective means to respond.

His answer is technology. D’Souza’s new venture, Objection, utilizes AI to evaluate journalistic accuracy. For a fee of $2,000, users can challenge a story, initiating a public review of its claims. (D’Souza also founded the Enhanced Games, an Olympic-style event permitting performance-enhancing drugs, launching in Las Vegas next month.)

Objection launched Wednesday with multi-million dollar seed funding from Peter Thiel, Balaji Srinivasan, Social Impact Capital, and Off Piste Capital.

Thiel, who partially funded the Gawker lawsuit to protect individual privacy, has long criticized mainstream media. D’Souza aims to restore trust in the Fourth Estate, arguing it has eroded over decades. However, critics, including media attorneys, warn Objection could hinder reporting on powerful institutions, especially when relying on confidential sources.

Anonymous sources have been instrumental in award-winning investigations into corruption and corporate misconduct. These individuals often face job loss or retaliation for sharing critical information. Journalists, alongside editors, peers, and legal counsel, are responsible for verifying source reliability and ensuring the information is not driven by malice.

Image Credits:Objection AI

D’Souza argues that relying solely on unverified, fully anonymous sources lowers a story’s evidence and trust score on Objection. The platform prioritizes primary records, such as regulatory filings and official emails, while ranking anonymous whistleblower claims near the bottom. Freelancers, including former law enforcement agents and investigative journalists, gather these inputs, which feed into the “Honor Index”—a numerical score reflecting a reporter’s integrity, accuracy, and track record.

“Protecting a source’s identity is vital for telling important stories, but it creates a significant power imbalance,” D’Souza told TechCrunch in an exclusive interview. “The subject is reported on, yet there is no mechanism to critique the source.”

Image Credits:Objection AI

Even when Objection finds no issues with a story, its companion feature, “Fire Blanket,” can still cast doubt on its credibility. Active on X via platform APIs, this tool flags disputed claims in real time by posting warnings, effectively injecting “under investigation” labels into public discourse while claims remain under review.

Eugene Volokh, a First Amendment scholar at UCLA, stated that the platform itself likely does not violate free speech protections, viewing it as part of the broader ecosystem of criticism surrounding journalism. He compared the concept to opposition research targeting reporters rather than politicians, dismissing concerns about a chilling effect on whistleblowers.

“All criticism creates a chilling effect,” he told TechCrunch.

The platform’s impact—whether widely adopted or ignored—will determine if Objection reshapes journalism or fades into the growing array of tools attempting to do so.

As Kirtley noted: “Why assume AI provides more reliable information about truth or falsity than a journalist who has researched and written the story? I wouldn’t make that assumption at all.”

Editor’s note: Given D’Souza’s focus on transparency and accountability, we have published a link to the full transcript, edited lightly for length and clarity.