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May 7, 2026Journal of Scholarly Publishing

Towards Objective Abstracts and Keywords: The Helpful Hand of GenAI

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Authors

AKAnna Małgorzata KamińskaUniversity of Silesia in KatowiceŁWŁukasz WyciślikSilesian University of Technology

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Implication

This exploration highlights AI systems' role in improving clarity and reducing subjectivity in research summaries, using a curated data set.

Key Points

  • This research aims to evaluate generative AI applications for creating objective research abstracts and keywords.
  • Utilized generative artificial intelligence models, ChatGPT-4o and Claude 3.7 Sonnet.
  • Analyzed a data set of seven articles from a special MDPI issue on journalism and media.
  • Employed a structured prompt covering background, methods, results, and conclusions for processing articles.
  • Evaluated generated outputs using the Gemini 2.0 Flash Thinking model on a five-point Likert scale.
  • AI systems scored higher than traditional, human-generated abstracts and keywords.
  • Claude 3.7 Sonnet demonstrated a minor advantage in clarity and precision.

Cite This Study

Kamińska et al. (2026) studied this question.

synapsesocial.com/papers/69fbefd5164b5133a91a3d7ahttps://doi.org/10.3138/jsp-2025-0029
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