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The emergence of SEO automatically generated articles has, to a certain extent, met the need to quickly generate a large amount of content. But this approach is not perfect. Automatically generated articles are often of uneven quality and lack depth and uniqueness. Some are just a patchwork of keywords, which have limited value to readers. From a technical perspective, SEO automatically generated articles rely on algorithms and templates. These algorithms generate texts by analyzing factors such as hot topics and keyword density. However, this mechanical generation method is difficult to capture complex semantics and emotions. Looking at the field of content creation, high-quality original articles require authors to invest a lot of time and energy in research, thinking and writing. The prevalence of SEO automatically generated articles may have an impact on authors who are serious about their creation. In addition, take the HowNet incident as an example. Mita AI announced that it would no longer include HowNet document titles and abstracts due to receiving a HowNet infringement notice. This reflects the complex relationship between information utilization and intellectual property protection. For SEO automatically generated articles, how to improve content quality while complying with laws and regulations is an urgent problem to be solved. At the same time, it is also necessary to establish a sound regulatory mechanism to prevent the proliferation of low-quality content. In short, SEO automatic article generation brings convenience but also brings many challenges. We need to treat it rationally and promote its healthy development.**Summary**: This article discusses the advantages and disadvantages, technical principles of SEO automatic article generation, analyzes related issues in conjunction with the CNKI incident, and emphasizes the importance of its healthy development.
