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English(EN) Researchers find six patterns that make AI text so exhausting to read

AI文本因过度使用复杂的语言模式而被认为阅读疲劳

纽约大学和德克萨斯大学奥斯汀分校的一项研究确定了六种使AI生成的文本难以供人类阅读的语言模式。研究人员认为,这个问题源于AI模型在代码和数学内容上进行训练,在这些内容中,精确的正确性比人类可读的清晰度更受重视。相比之下,较小的AI模型倾向于生成更接近人类写作的文本。 AI

影响 AI模型可能需要在训练中优先考虑人类可读性,以改善用户体验和理解。

排序理由 学术研究论文,详细介绍了AI文本生成的研究结果。[lever_c_demoted from research: ic=1 ai=1.0]

在 The Decoder 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AI文本因过度使用复杂的语言模式而被认为阅读疲劳

本文如何被排名

Signal score
20 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
学术研究论文,详细介绍了AI文本生成的研究结果。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
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High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. The Decoder TIER_1 English(EN) · Matthias Bastian ·

    Researchers find six patterns that make AI text so exhausting to read

    <p><img alt="" class="attachment-full size-full wp-post-image" height="768" src="https://the-decoder.com/wp-content/uploads/2026/10/language_letters.png" style="height: auto; margin-bottom: 10px;" width="1376" /></p> <p> A study from New York University and the University of Texa…