IDEAS home Printed from https://ideas.repec.org/a/aac/ijirss/v8y2025i2p4270-4277id6278.html
   My bibliography  Save this article

The rise of AI-driven language: A bibliometric analysis of ChatGPT-specific terms in scientific writing

Author

Listed:
  • Kawthar Alshalla
  • Maryam Mahmoud
  • Mahmoud Kandeel

Abstract

The advent of artificial intelligence (AI), particularly ChatGPT, has introduced new dynamics in scientific writing, influencing both content and style. This study aims to analyze the frequency and trends of ChatGPT-specific terms in scientific literature. The study utilized a bibliometric analysis approach, leveraging the Scopus database to track the frequency of ChatGPT-specific keywords like "Intricate," "Harnessing," "Leverage," "Transformative," and "Revolutionize" from inception to June 17th, 2024. Two control terms, "Biology" and "Medicine," were also analyzed for comparison. The analysis revealed a significant rise in the usage of ChatGPT-specific terms in scientific writing, particularly in recent years. The relative publication frequency was measured by calculating the ratio of the number of publications from 2022 to 2024 to the total number of publications from the inception of the database to 2021. The analysis showed that "Intricate" had a high relative frequency of 0.741. Similarly, "Transformative" had a relative frequency of 0.613, while "Revolutionize" and "Leverage" followed closely with 0.589 and 0.578, respectively. In contrast, traditional terms like "Biology" and "Medicine" had much lower relative frequencies of 0.131 and 0.146, respectively. The increasing frequency of AI-specific terms suggests a shift in the linguistic landscape of scientific literature.

Suggested Citation

  • Kawthar Alshalla & Maryam Mahmoud & Mahmoud Kandeel, 2025. "The rise of AI-driven language: A bibliometric analysis of ChatGPT-specific terms in scientific writing," International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 8(2), pages 4270-4277.
    • Handle: RePEc:aac:ijirss:v:8:y:2025:i:2:p:4270-4277:id:6278
    as

    Download full text from publisher

    File URL: https://ijirss.com/index.php/ijirss/article/view/6278/1194
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aac:ijirss:v:8:y:2025:i:2:p:4270-4277:id:6278. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Natalie Jean (email available below). General contact details of provider: https://ijirss.com/index.php/ijirss/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.