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The Study

Differentiating Between Human-Written and AI-Generated Texts Using Automatically Extracted Linguistic Features

In simple terms

This study compared 5 essays written by people and 5 written by a robot, then counted things like how many nouns or long words each used. It found some patterns, like the robot used more big words. But it didn't prove the robot caused those differences—it just showed what was different in these 10 essays.

0%

Analysis score

0/ 0

Maximum 0 for a computational/algorithm study.

Where the score came from

Reporting40
Methodology20
Publication100
Statistical77
Study type (basis of the score)
Computational/Algorithm Study
Level 5 - Expert opinion
What’s the bottom line?

AI writes essays that look smart but sound robotic because it uses fancy words and long sentences but forgets to use little words that make speech feel natural.

Where does this study sit?

Reviews of RCTs (Meta-analyses)

Max 100

Randomized Trials

Max 90

Reviews of Cohort Studies

Max 85

Cohort Studies

Max 72

Reviews of Case-Control Studies

Max 63

Case-Control Studies

Max 58

Cross-Sectional & Case Series

Max 50

Expert Opinion

Max 5
StrongerWeaker
Expert Opinion
Level 5
0

0 / 100

Quality score

Based on clinical experience or non-systematic literature reviews. The lowest level of evidence as they are most susceptible to bias and personal perspective.

Cannot establish causation

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Key takeaways

Summary

Based on the study abstract and findings.

  1. 1Yes — these patterns make AI text feel stiff and unnatural to readers, even if it’s grammatically correct.
  2. 2AI used 30% more big words, 40% fewer pronouns like 'I' or 'they', and preferred hard consonants like 't' and 'k' over softer ones like 'd' and 'v'.

Score breakdown, methodology, conflicts of interest, evidence analysis & raw study data

Publication

Journal

Inf.

Year

2024

Authors

Georgios P. Georgiou

Open Access
33 citations
Analysis v5
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