Startup Objection uses AI to assess the truthfulness of journalism

After being involved in the lawsuit that bankrupted media firm Gawker, Aron D'Souza noticed a flaw in the American media system: individuals harmed by coverage had few avenues for recourse. His solution is software. D'Souza claims his startup, Objection, aims to use AI to adjudicate the truth of journalism. For a fee of $2,000, anyone can challenge a story, triggering a public investigation into its claims.

Objection launched on Wednesday with 'multiple millions' in seed funding from Peter Thiel and Balaji Srinivasan, alongside venture capital firms Social Impact Capital and Off Piste Capital. Thiel, who partially funded the Gawker lawsuit in defense of individual privacy rights, has long been critical of the media. D'Souza believes his goal is to restore trust in the Fourth Estate, which he argues has been eroded over decades.

Critics, including media lawyers, warn that Objection could complicate the publication of reports that hold powerful institutions accountable, particularly if such reporting relies on confidential sources. Anonymous sources have played a crucial role in major award-winning investigations into corruption and corporate wrongdoing. These individuals often risk losing their jobs or facing other retaliation for sharing vital information.

D'Souza stated that using a fully anonymized source who hasn't been independently verified would lead to a lower trust score on Objection. Under the platform's guidelines, primary records like regulatory filings and official emails carry the most weight, while anonymous whistleblower claims are ranked much lower. These inputs are partially collected by a team of freelancers—former law enforcement agents and investigative journalists.

D'Souza's solution presents a dilemma for journalists: either disclose sensitive source information to Objection's 'cryptographic hash' that determines if it’s high-quality reporting, or face penalties for protecting sources who share important information at great personal risk. Experts argue that if technology like Objection gains traction, it could chill whistleblowing.

D'Souza insists that Objection is not an attempt to silence whistleblowers but rather a means to fact-check. He describes Objection as a 'trustless system' with transparent methodology that relies on a jury of large language models from OpenAI, Anthropic, xAI, Mistral, and Google, prompted to act as average readers to evaluate evidence claim by claim.