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Automatically generated articles are becoming more and more common in the online world. On the one hand, the emergence of this technology has improved the efficiency of information dissemination and can quickly generate a large amount of content; on the other hand, it has also brought a series of problems.
Since automatically generated articles often lack in-depth and personalized thinking, and are often just a patchwork of data and templates, the quality of information varies. In some cases, they may even spread false or misleading information.
Take Zhang Yufei's case as an example. A large number of online reports and comments have emerged. However, if some of them are automatically generated articles, they may not accurately convey the truth of the incident and the athlete's true feelings. This not only interferes with the interpretation of the incident, but may also cause unnecessary harm to the parties involved.
In addition, automatically generated articles may also affect the public's judgment and cognition, because such articles often lack emotion and humanistic care, and just mechanically list facts and opinions, which cannot truly resonate with readers and trigger their thinking.
In the online public opinion environment, we need to pay more attention to the authenticity and reliability of information. We must be able to distinguish automatically generated articles and not blindly believe and spread them. Only in this way can we create a healthy and positive online information space.
In short, when faced with incidents like Zhang Yufei’s, we must be wary of the negative impact of automatically generated articles and strive to disseminate true and valuable information.
