**维基百科将CNET列为不可靠信源，源于AI生成文章问题**
据IT之家报道，知名科技媒体CNET近期遭遇信任危机，原因是其使用人工智能（AI）生成的部分文章因质量问题被维基百科列入“不可靠来源”。维基百科在其“可靠来源 / 常用来源”页面上对新闻媒体的可信度有严格评估，而CNET在2022年的AI实验显然未达标准。
CNET于2022年开始尝试使用AI技术撰写部分文章，但这一尝试并未取得理想效果。报道指出，这些AI生成的文章中出现了大量语法错误，并且涉及严重的抄袭问题，对CNET的公信力造成了显著损害。在面临负面评价和公众质疑的压力下，CNET迅速叫停了AI写作项目，并着手修正已发布的错误文章。
然而，这一举措并未能立即挽回损失。维基百科的编辑社区经过调查和投票，决定将2022年11月至2023年1月间CNET发布的内容标记为“普遍不可靠”。这意味着在此期间，维基百科的编辑在引用CNET的文章时需格外谨慎，因为这些内容可能不满足维基百科的引用标准。
这一事件引发了业界对新闻媒体使用AI技术的讨论，凸显了自动化写作的伦理和质量控制问题。CNET的案例为其他媒体机构敲响了警钟，提醒他们在采用新技术的同时，必须确保内容的准确性和原创性，以维护媒体的声誉和读者的信任。
英语如下：
**News Title:** “Wikipedia Flags CNET as Unreliable Source Over AI-Generated Articles: Plagiarism and Grammar Errors Controversy”
**Keywords:** AI-generated articles, Wikipedia, CNET credibility
**News Content:**
According to IT Home, the renowned tech media outlet CNET has faced a trust crisis recently due to Wikipedia’s classification of it as an “unreliable source,” stemming from issues with AI-generated articles. Wikipedia has strict assessments of news media credibility on its “Reliable Sources / Common Sources” page, and CNET’s 2022 AI experiment evidently fell short.
CNET began experimenting with AI technology to write some articles in 2022, but the endeavor did not yield the desired outcome. Reports indicate that these AI-generated pieces contained numerous grammatical errors and were embroiled in significant plagiarism concerns, significantly damaging CNET’s credibility. In response to negative feedback and public scrutiny, CNET promptly halted its AI writing project and began correcting the erroneous articles.
Nonetheless, the damage was not immediately reversed. After investigation and a community vote, Wikipedia editors decided to label content published by CNET between November 2022 and January 2023 as “generally unreliable.” This signifies that during this period, Wikipedia editors must exercise caution when citing CNET articles, as they may not meet the site’s citation standards.
This incident has sparked industry discussions about news media’s use of AI technology, highlighting ethical and quality control issues in automated writing. CNET’s case serves as a cautionary tale for other media institutions, emphasizing the importance of maintaining accuracy and originality in content to preserve a publication’s reputation and reader trust.
【来源】https://www.ithome.com/0/753/206.htm
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