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The emerging submission crisis in behavioral science
Markus Wolfgang Hermann Spitzer1
1Department of Psychology, Martin-Luther University Halle-Wittenberg, Halle, Germany.
The scientific system faces a submission crisis due to a sharp increase in manuscripts, largely driven by large language models. This surge strains editors and reviewers, leading to superficial research and impacting early-career scientists.
Area of Science:
- Behavioral Science
- Scientific Publishing
- Research Integrity
Background:
- The scientific system contends with issues like paper mills and citation manipulation.
- A significant rise in annual manuscript submissions is straining the capacity of editors and reviewers.
- This increase is occurring despite the proliferation of new scientific journals.
Purpose of the Study:
- To identify and discuss the emerging problem of overwhelming manuscript submission volumes in scientific publishing.
- To analyze the factors contributing to the accelerated pace of behavioral science research and manuscript preparation.
- To explore the implications of this submission crisis for editors, reviewers, and early-career researchers.
Main Methods:
- Analysis of personal observations and conversations from 2025 regarding journal submission trends.
- Identification of key factors accelerating research and manuscript writing in behavioral science.
- Discussion of the impact of large language models on manuscript quality and submission volume.
Main Results:
- A substantial increase in manuscript submissions to individual journals has been observed.
- Advances in automation, large datasets, and large language models (LLMs) have accelerated research.
- LLMs are identified as a primary driver of polished-looking, yet empirically weak, submissions, increasing editor/reviewer strain.
Conclusions:
- The current submission crisis is characterized by superficial contributions due to LLM-generated manuscripts.
- A potential future crisis may arise from genuinely accelerated scientific progress driven by automation.
- The adoption of AI tools to support editor and reviewer workflows is proposed as a potential solution.
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