Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers
Home AI - Artificial Intelligence Can AI Evaluate Journalism? A Thiel-Backed Startup Believes So, Despite Potential Risks to Whistleblower Protection

Can AI Evaluate Journalism? A Thiel-Backed Startup Believes So, Despite Potential Risks to Whistleblower Protection

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Aron D’Souza, who played a pivotal role in the lawsuit that led to the bankruptcy of media company Gawker, has raised concerns about shortcomings in the American media landscape, especially regarding individuals who feel wronged by media coverage and their lack of options for redress. To address this issue, he has founded a startup called Objection, which seeks to utilise artificial intelligence to scrutinise journalistic integrity. For a fee of $2,000, individuals can contest a news story, prompting an examination of its claims.

Objection commenced operations recently, backed by significant seed funding from notable investors like Peter Thiel and Balaji Srinivasan. Thiel has been a longstanding critic of media practices, expressing a desire to restore faith in journalism, which he believes has deteriorated over the years. However, critics, including media legal experts, have voiced concerns that D’Souza’s platform could hinder reporting that serves to hold powerful entities accountable, particularly when such reporting relies on confidential sources. Anonymous sources have historically played a crucial role in uncovering corruption, and there are fears that the system could disincentivise whistleblowing.

D’Souza outlines that Objection’s methodology will score sources based on reliability, valuing official documents over anonymous contributions in an “Honor Index.” The platform’s supporters argue it’s designed to enhance transparency. However, media professionals worry this could impose undue pressure on journalists to compromise their sources to avoid penalties for protecting crucial information. Critics have flagged Objection as potentially favouring wealthy individuals who can afford its services, enabling them to intimidate journalists rather than genuinely seek accountability.

Legal scholars, such as Jane Kirtley, are concerned that Objection may further erode public trust in the media by framing it as a vehicle for the powerful to challenge journalistic integrity. There is doubt about whether individuals outside the journalism sphere can fairly assess what serves the public interest, and whether the platform genuinely serves to elevate journalistic quality or simply protect the interests of the privileged.

D’Souza has countered that Objection aims for fact-checking akin to community-driven initiatives, asserting that it could promote higher standards of accountability in journalism. However, experts argue that platforms like Objection might facilitate more criticism than constructive feedback, diverting attention from the real issues faced by journalists.

As the media landscape evolves, the acceptance and impact of Objection will likely dictate its success or failure in driving genuine change. Ultimately, questions remain about the efficacy of AI in ensuring journalistic accuracy and whether such platforms can balance transparency with the protection of vital whistleblowers.

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