据IT之家报道，知名新闻媒体CNET近年来因引入人工智能技术生成文章，导致其可靠性受到质疑。维基百科经过调查和投票，决定将CNET列为“普遍不可靠”的来源之一。
据了解，CNET自2022年起开始使用人工智能技术来生产部分内容。然而，这些文章中出现了大量的语法错误，甚至存在严重的抄袭问题，严重损害了CNET长期以来建立的信誉。面对公众的质疑和压力，CNET不得不叫停AI项目，并着手纠正已发布的错误文章。
维基百科的“可靠来源/常用来源”页面旨在为读者提供可信和可靠的新闻机构名单。编辑们经过细致的调查和一番激烈的讨论后，决定在2022年11月至2023年1月期间，将CNET上发表的任何内容都标记为“普遍不可靠”。这一决定反映了维基百科对内容质量与来源可靠性的严格把控。
此次事件也提醒了新闻行业，即使是在追求创新和效率的过程中，也必须坚守新闻真实性与质量的底线。CNET目前正努力恢复其在读者中的信任，通过修正错误和强化内容审核机制来提高文章质量。
人工智能技术在新闻领域的应用是一个值得关注的话题。虽然AI能够提高生产效率，但若管理不当，则可能损害媒体的公信力。CNET的案例为新闻机构敲响了警钟，强调了在采用新技术时，应确保内容准确性与原创性，避免对读者信任造成损害。
未来，CNET是否能重新赢得维基百科及读者的信任，取决于其是否能够坚持新闻专业主义，确保每一篇发出的文章都经过严格的质量控制。此次事件也为我们提供了一个反思的机会，即在信息爆炸的时代，如何平衡效率与质量，维护新闻行业的公信力。
英语如下：
**Headline:** CNET Faces Credibility危机 Over Poor-Quality AI Articles, Wikipedia Lists It as an Unreliable Source
Keywords: CNET, AI articles, Reputation damaged.
**News Content:**
### CNET, a Prominent News Media Outlet, Listed as an Unreliable Source by Wikipedia Due to AI-Generated Content Issues
According to IT Home, the well-known news media outlet CNET has faced questions over its reliability in recent years due to the introduction of artificial intelligence technology to generate articles. After an investigation and voting, Wikipedia has decided to list CNET as one of the “generally unreliable” sources.
It is understood that CNET began using artificial intelligence to produce some content since 2022. However, these articles have been riddled with numerous grammatical errors and even instances of serious plagiarism, severely damaging the credibility that CNET has built over a long period. In the face of public质疑 and pressure, CNET had to suspend its AI project and set about correcting the error-laden articles that have already been published.
The “Reliable Sources/Usual Sources” page of Wikipedia is intended to provide readers with a list of credible and reliable news organizations. After careful investigation and intense discussions, the editors decided to mark any content published by CNET between November 2022 and January 2023 as “generally unreliable.” This decision reflects Wikipedia’s strict control over content quality and source reliability.
This incident also reminds the news industry that, even in the pursuit of innovation and efficiency, the bottom line of news authenticity and quality must be adhered to. CNET is currently making efforts to restore the trust of its readers by revising errors and strengthening content review mechanisms to improve the quality of articles.
The application of artificial intelligence technology in the field of journalism is a topic worth noting. While AI can enhance production efficiency, if not managed properly, it may damage the credibility of media outlets. The case of CNET serves as a wake-up call for news organizations, emphasizing the need to ensure content accuracy and originality when adopting new technologies to avoid damaging reader trust.
In the future, whether CNET can win back the trust of Wikipedia and its readers will depend on whether it can adhere to journalistic professionalism and ensure that every article sent out undergoes strict quality control. This incident also provides an opportunity for reflection on how to balance efficiency and quality in the age of information overload to maintain the credibility of the news industry.
【来源】https://www.ithome.com/0/753/206.htm
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