mlsanityData to 7 Oct 2026

Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals

arXiv 2107.06751 ↗First posted 12 Jul 2021cs.DL cs.CL cs.CYcited by 17

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Abstract (arXiv)

Probabilistic text generators have been used to produce fake scientific papers for more than a decade. Such nonsensical papers are easily detected by both human and machine. Now more complex AI-powered generation techniques produce texts indistinguishable from that of humans and the generation of scientific texts from a few keywords has been documented. Our study introduces the concept of tortured phrases: unexpected weird phrases in lieu of established ones, such as 'counterfeit consciousness' instead of 'artificial intelligence.' We combed the literature for tortured phrases and study one reputable journal where these concentrated en masse. Hypothesising the use of advanced language models we ran a detector on the abstracts of recent articles of this journal and on several control sets. The pairwise comparisons reveal a concentration of abstracts flagged as 'synthetic' in the journal. We also highlight irregularities in its operation, such as abrupt changes in editorial timelines. We substantiate our call for investigation by analysing several individual dubious articles, stressing questionable features: tortured writing style, citation of non-existent literature, and unacknowledged image reuse. Surprisingly, some websites offer to rewrite texts for free, generating gobbledegook full of tortured phrases. We believe some authors used rewritten texts to pad their manuscripts. We wish to raise the awareness on publications containing such questionable AI-generated or rewritten texts that passed (poor) peer review. Deception with synthetic texts threatens the integrity of the scientific literature.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). Builds on 6 of its 41 references that are in the map. First posted on arXiv 12 Jul 2021.

Builds on

6 of 41 references.

References · 6

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  3. 2019Release Strategies and the Social Impacts of Language Modelscited by 505
  4. 2020The Journal Coverage of Web of Science, Scopus and Dimensions: A Comparative Analysiscited by 9
  5. 2015Comparing the writing style of real and artificial paperscited by 5
  6. 2021Detecting a network of hijacked journals by its archivecited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 4; 2023: 2; 2024: 5; 2025: 4; 2026: 2.

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  1. 2023AI model GPT-3 (dis)informs us better than humanscited by 75
  2. 2024When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settingscited by 17
  3. 2022SynSciPass: detecting appropriate uses of scientific text generationcited by 10
  4. 2025Atomic Reasoning for Scientific Table Claim Verificationcited by 8
  5. 2023No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learningcited by 7
  6. 2025A Multi-Agent Perspective on Modern Information Retrievalcited by 2
  7. 2022Detecting Generated Scientific Papers using an Ensemble of Transformer Modelscited by 1
  8. 2022Investigating the detection of Tortured Phrases in Scientific Literaturecited by 1
  9. 2022Artificial intelligence technologies to support research assessment: A reviewcited by 1
  10. 2024A University Framework for the Responsible use of Generative AI in Researchcited by 1
  11. 2024Papilusion at DAGPap24: Paper or Illusion? Detecting AI-generated Scientific Paperscited by 1
  12. 2025Feature Extraction and Analysis for GPT-Generated Textcited by 1
5 more
  1. 2024Detection of tortured phrases in scientific literaturecited by 0
  2. 2024The EAP-AIAS: Adapting the AI Assessment Scale for English for Academic Purposescited by 0
  3. 2025Semantic Reconstruction of Adversarial Plagiarism: A Context-Aware Framework for Detecting and Restoring "Tortured Phrases" in Scientific Literaturecited by 0
  4. 2026Standardization of Post-Publication Code Verification by Journals is Possible with the Support of the Communitycited by 0
  5. 2026The Ghost Couple: Correlated LLM Name Priors and Their Haunting of the Web and Academic Publishingcited by 0