Не Берроузом единым: альтернативные инструменты стилометрии

Не Берроузом единым: альтернативные инструменты стилометрии

🎙 Anton Afanasyev, Rinat Bakirov, Vladimir Bochkarev 👥 321 📅 May 24, 2026 ⏱ 74 min 👁 58 📄 original study 🧭 2026-08-16
Available in: English (current) Français

Keywords

stylometryBurrows' DeltaSpearman distanceJensen-Shannon divergenceauthorship attribution

Summary

The seminar presentation by researchers from Kazan Federal University discusses alternative tools for stylometric analysis, moving beyond the classical Burrows’ Delta. The authors systematically compare six distance metrics: Manhattan (Burrows), cosine Delta, Labbé, Zergel, Spearman distance, and Jensen-Shannon divergence. They categorize these into frequency-based, probabilistic/information-theoretic, and rank-based approaches. Using four corpora (Ancient Greek texts, Sholokhov, Rowling, and a large Russian hypercorpus of science fiction and village prose), they evaluate the metrics’ performance under varying parameters such as the number of most frequent words and fragment lengths. The study finds that Spearman distance demonstrates the highest stability and achieves perfect attribution accuracy across all corpora, while Jensen-Shannon divergence shows promise on stylistically homogeneous texts but is less robust on heterogeneous ones. The presentation includes detailed methodology, results, and discussion, highlighting the importance of parameter tuning for optimal metric performance.

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Critical Evaluation

Value of the Information & Strength of the Argument

The presentation provides valuable insights into the comparative performance of stylometric metrics, offering empirical evidence for the superiority of Spearman distance in terms of stability and accuracy. The argumentation is solid, grounded in a systematic experimental design with multiple corpora and careful parameter tuning. The authors transparently discuss limitations, such as corpus imbalance and the absence of lemmatization for Ancient Greek. They also engage with prior research, positioning their work within the broader context of stylometric studies. The discussion of Jensen-Shannon divergence’s performance on the Strugatsky brothers’ corpus adds nuance, suggesting that information-theoretic measures may be useful for complex authorship cases.

Scientific Rigor, Source Quality, Title Accuracy

The presentation demonstrates scientific rigor through a clear methodology, reproducible steps, and reference to prior studies (e.g., Evert et al., Kocher & Savoy, Alieva, Pronin & Kazartsev). The sources cited in the description are links to Telegram and VK channels, which are not academic references but are provided for following the institute’s news. The title accurately reflects the content, focusing on alternative stylometric tools. The discussion includes a formal discussant, adding critical perspective. No comments were provided for analysis.

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Title / Content Match

The title accurately reflects the content, which focuses on alternative stylometric tools beyond Burrows' Delta.

Quality & Reliability

8/10

The presentation is based on a systematic comparative study of stylometric metrics, with clear methodology, multiple corpora, and reference to prior research. The authors are affiliated with reputable academic institutions. However, the video is a seminar presentation, not a peer-reviewed publication, and some details (e.g., exact parameter ranges) are presented verbally without full reproducibility.

Key Moments

Cited Sources

  • Telegram channel 'Борис и Борхес' — Mentioned as the discussant's Telegram channel.
  • VK page 'Институт цифровых гуманитарных исследований' — Provided for following the institute's news.

Concurring Sources

  • Evert, S., et al. (2017). Understanding and explaining Delta measures for authorship attribution. — Referenced in the presentation as a key comparative study of distance measures.
  • Kocher, M., & Savoy, J. (2019). Distance measures in authorship attribution. — Referenced for comparing Tanimoto, Motosita, Clark, and cosine Delta.
  • Alieva, O. V. (2024). Comparative analysis of distance measures in stylometry. — Referenced for testing various metrics on Ancient Greek texts.
  • Pronin, D. D., & Kazartsev, E. V. (2026). New metrics for stylometric analysis. — Referenced for parallel work on Jensen-Shannon divergence.

Dissenting Sources

  • Evert, S., et al. (2017). Understanding and explaining Delta measures for authorship attribution. — This study found cosine Delta to be superior, whereas the present study suggests Spearman distance performs better. The discrepancy may be due to differences in corpora and experimental design.

Contribution & Novelties

The presentation contributes to stylometric methodology by systematically comparing a range of distance metrics, including less common ones like Spearman distance and Jensen-Shannon divergence, across diverse corpora. It provides empirical evidence that Spearman distance is highly stable and accurate, potentially offering a more robust alternative to traditional metrics. The study also highlights the potential of Jensen-Shannon divergence for stylistically homogeneous texts. The authors emphasize the importance of parameter tuning, offering practical guidance for researchers.

Pour aller plus loin :

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Radar Profile

The radar profile shows high scores across all dimensions, indicating a well-rounded presentation with strong information content, technical depth, and reliability. The lowest score is in 'quantite_information' (8), but still high, reflecting the comprehensive coverage of the topic.

Reliability 8/10