CNET, one of the most iconic publications in the technology world, has experienced a decline in its reputation due to the implementation of artificial intelligence (AI) in content generation. Online encyclopedia Wikipedia has lowered CNET's quality rating on its “perennial sources/trusted sources” list due to concerns about the editorial integrity and accuracy of its content.
Evolution of the situation of CNET and AI
- Deterioration of Editorial Standards: In October 2020, the acquisition of CNET by a marketing company resulted in a decline in editorial standards, with more advertiser-friendly content appearing. This situation generated distrust in the integrity of the publication.
- AI Implementation: CNET began using an AI model to generate articles, under the subtitle “CNET Money Staff.” However, in January 2023, these articles were found to contain plagiarism and errors, further affecting the publication's credibility.
- Wikipedia reaction: Wikipedia editors raised concerns about the quality of CNET's content, leading to a further decline in its rating as a trusted source on the online encyclopedia.
- CNET response: Faced with the crisis of trust, CNET paused the use of AI to create new content and pledged to follow transparent policies in future AI-related initiatives.
Impact on the Industry
CNET's case is not unique in the technology publishing industry. Gizmodo Spain, for example, has chosen to use AI to translate content rather than generate original content, reflecting a growing trend towards automation in journalism.
Various media, including The Guardian, Forbes and The Washington Post, are conducting similar experiments with AI to create content or improve editorial processes. In the case of Xataka, AI is used to illustrate some articles, always clearly indicating the intervention of technology in the creative process.
The use of AI in journalism poses significant challenges in terms of editorial integrity, accuracy and reader trust. While automation can offer efficiency and scalability, it also requires careful monitoring and the implementation of strong policies to ensure content quality and maintain public trust in publications.