Modern dissertation review consists of two independent areas – the analysis of textual borrowings and the analysis of signs of machine-generated content. These procedures rely on different algorithms and often produce inconsistent results for the same fragment. Understanding how each of them works helps the author eliminate questionable sections in advance and confidently approach the defense before the dissertation council.
What is the difference between checking a dissertation for plagiarism and for AI?
Plagiarism check compares the dissertation text with databases of published works, internet sources, and internal repositories of educational institutions, after which it identifies matching formulations and provides an originality score.
AI detection works differently: it evaluates not external similarities, but the internal characteristics of the text – the uniformity of sentence structure, the predictability of wording, and the consistency of style. Algorithms of this type analyze sentence variability because human-written text is usually less uniform, and people tend to write with greater variation than AI. As a result, the two systems may produce different conclusions, and it is important for the author to understand the nature of each assessment.
What percentage of dissertation originality is considered acceptable?
There is no single threshold for all educational institutions, and the specific value is determined by the university and the academic specialty. In the practice of dissertation councils in Kyrgyzstan, the originality level for a candidate dissertation is most often expected to fall within the range of 70-75 percent, while the requirement for a doctoral dissertation may be higher. When evaluating a report, it is important to consider the structure of the matches rather than only the final figure, since some of them are technical in nature. Such matches usually include:
- properly formatted quotations with source references
- standard terms and established scientific expressions
- names of regulations, organizations, and methodologies
- bibliographic descriptions in the reference list
As a rule, the listed elements are not considered violations if they are formatted according to current requirements.
Why can AI checks of a dissertation produce errors?
Machine-generated content detectors operate on probabilistic models and may produce false positives. An original text written in dry academic language with repetitive constructions may sometimes receive a high “AI-generated” score – especially if it has been repeatedly edited. There have been known cases where such tools mistakenly classified the work of real people as generated content, forcing educational institutions to reconsider their verification procedures. Therefore, the result of AI analysis should be treated as a reason for additional review rather than as a final conclusion. It is useful for researchers to keep drafts and intermediate versions of their dissertations, as they serve as proof of independent work.
Preparing a dissertation for a plagiarism check
Early preparation reduces the risk of comments and saves time before the defense. It is recommended to follow the following procedure:
- Check the formatting of quotations and footnotes according to the requirements of the educational institution.
- Make sure that the reference list is compiled according to the current standard.
- Run the text through the verification system available to your council and study the match report.
- Revise fragments containing borrowings while preserving the scientific meaning and the author’s logic of presentation.
- Save drafts and correspondence with your academic supervisor as proof of authorship.
Checking a dissertation for plagiarism and AI indicators serves as a way to confirm the author’s academic integrity. Understanding the principles behind both systems helps distinguish a technical match from an actual violation and respond appropriately to the report indicators. Attention to formatting, preservation of working materials, and timely self-checking remain the most reliable tools for preparing a qualification paper for defense.
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