Researchers and experts highlight common stylistic features and phrases that often betray AI-generated texts, raising awareness about the evolving landscape of automated writing.
If a piece of writing keeps leaning on stock phrases such as “research shows”, “it is important to note” or “this highlights the importance of”, it may be worth taking a closer look at how it was produced. None of these expressions proves a text was written by ChatGPT, and people use them too, but linguists and AI-detection tools say they often appear in machine-generated copy more than in natural human prose.
The point is not that artificial intelligence always writes badly. Used well, it can be a useful tool. But as AI output has become more common, readers have started noticing a familiar pattern: polished, impersonal wording, neat but generic transitions, and conclusions that sound broad without saying very much. According to Pangram Labs, its AI phrases tool is designed to flag overused wording that shows up far more often in AI-generated material than in human writing, drawing on large datasets of both kinds of text.
Other telltale signs are less about single phrases and more about style. Tom’s Guide recently noted that AI writing often opens in formulaic ways, stays overly upbeat, relies on vague authority claims, and misses the small real-world details that make human writing feel lived in. Similar advice from content specialists at MyTruestyle suggests that expressions such as “It is important to note that” or “In conclusion, it can be said that” can make prose sound mechanical rather than conversational.
That does not mean every formal sentence is artificial, or that every human writer sounds casual. But if a text is full of abstract generalities, repeated structures and careful-sounding filler, the author may be leaning too heavily on a language model. For readers who care about authorship, the safest approach is to treat these phrases as clues, not proof.
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Source: Noah Wire Services
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The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
8
Notes:
The article was published on April 26, 2026, which is recent. However, the topic of AI-generated text detection has been discussed in various sources prior to this date, indicating that the content may not be entirely original.
Quotes check
Score:
7
Notes:
The article includes direct quotes from sources such as YourTango and MyTruestyle. While these quotes are attributed, the lack of direct links to the original sources makes it difficult to verify their authenticity.
Source reliability
Score:
6
Notes:
The article originates from UNIAN, a Ukrainian news agency. While it is a known source, its reputation and reach may not be as extensive as major international news organizations, which could affect the reliability of the information presented.
Plausibility check
Score:
7
Notes:
The claims about AI-generated text and the use of specific phrases are plausible and align with known patterns in AI writing. However, the article lacks specific examples or detailed evidence to support these claims, which raises questions about the depth of the analysis.
Overall assessment
Verdict (FAIL, OPEN, PASS): FAIL
Confidence (LOW, MEDIUM, HIGH): MEDIUM
Summary:
The article presents plausible claims about AI-generated text and the use of specific phrases, but it lacks direct links to original sources, detailed evidence, and thorough verification. The reliance on secondary references and the absence of specific examples weaken the overall credibility of the content.