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the claim
Judgments of similarity between writing samples can be quantified using stylistic and linguistic feature analysis.
the verdict
SUPPORTED
the evidence backs this
refutedsupported
the weight of evidence
4 sources for · 0 against

Multiple studies demonstrate that stylistic and linguistic feature analysis (stylometry) can effectively quantify similarities and differences between writing samples for tasks such as authorship attribution and discourse evaluation.

Evidence for · 4
QUDsim: Quantifying Discourse Similarities in LLM-Generated Text
2025 · cited by 15
Paper 2 discusses quantifying similarities and differences in text discourse progression using structural linguistic features.
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The analysis

The retrieved papers include comprehensive literature reviews and methodological studies on stylometry, authorship attribution, and linguistic similarity metrics. These papers establish that writing samples can be systematically analyzed and compared using stylistic and linguistic features. There are no refuting papers.

More for · 3
Quantifying Musical Style: Ranking Symbolic Music based on Similarity to a Style
2020 · cited by 13
Paper 3 demonstrates that computational feature analysis can successfully measure stylistic similarity and correlate with human perception.
Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges.
2024 · cited by 3
Paper 8 reviews methodologies for authorship attribution using linguistic and stylistic features in the era of LLMs.
Stylometry and forensic science: A literature review.
2024 · cited by 2
Paper 11 reviews stylometry as a scientific discipline focused on analyzing writing samples for forensic identification.
Everything we examined (12)
We also searched for evidence AGAINST this claim, not only for it.
  1. Academic publisher guidelines on AI usage: A ChatGPT supported thematic analysis.peer-reviewedno side takennot shown: read and judged not to bear on this claim
  2. The misalignment of incentives in academic publishing and implications for journal reform.peer-reviewedno side takennot shown: read and judged not to bear on this claim
  3. QUDsim: Quantifying Discourse Similarities in LLM-Generated Textpeer-reviewedsupports
  4. Quantifying Musical Style: Ranking Symbolic Music based on Similarity to a Stylepeer-reviewedsupports
  5. Attributions toward artificial agents in a modified Moral Turing Test.peer-reviewedno side takennot shown: read and judged not to bear on this claim
  6. Brain-Inspired Multisensory Learning: A Systematic Review of Neuroplasticity and Cognitive Outcomes in Adult Multicultural and Second Language Acquisition.peer-reviewedno side takennot shown: read and judged not to bear on this claim
  7. Detecting the corruption of online questionnaires by artificial intelligence.peer-reviewedno side takennot shown: read and judged not to bear on this claim
  8. The changing roles of scientific journals.peer-reviewedno side takennot shown: read and judged not to bear on this claim
  9. Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges.peer-reviewedsupports
  10. AI-Assisted Tools for Scientific Review Writing: Opportunities and Cautions.peer-reviewedno side takennot shown: read and judged not to bear on this claim
  11. Authenticity and presence: defining perceived quality in VR experiences.peer-reviewedno side takennot shown: read and judged not to bear on this claim
  12. Stylometry and forensic science: A literature review.peer-reviewedsupports
The paper trail · every fact has a biography
first checked05 Aug 2026
judged → SUPPORTED · 8205 Aug 2026
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