IDEAS home Printed from https://ideas.repec.org/a/spr/jcsosc/v8y2025i1d10.1007_s42001-024-00335-x.html
   My bibliography  Save this article

Affective, cognitive, and contextual cues in Reddit posts on artificial intelligence

Author

Listed:
  • Nina Savela

    (LUT University)

  • Max Pellert

    (University of Mannheim
    Medical University of Vienna
    Complexity Science Hub Vienna)

  • Rita Latikka

    (Tampere University
    Demos Helsinki)

  • Jenna Bergdahl

    (Tampere University)

  • David Garcia

    (Medical University of Vienna
    Complexity Science Hub Vienna
    University of Konstanz)

  • Atte Oksanen

    (Tampere University)

Abstract

Artificially intelligent technologies have become a common topic in our everyday discussions where arguments about the subject can take different forms from cognitive reasoning to emotional expressions. Utilizing persuasion theories and research on the appeal of content characteristics as the theoretical approach to examine affective–cognitive language, we investigated social media posts on artificial intelligence (AI). We examined Reddit posts from 2005 to 2018 referring to AI (N = 455,634) using automated content analysis tools. The results revealed that although both the tone positivity and affective–cognitive ratio were dependent on the specific context, the language in AI posts was more analytically than emotionally oriented in general. Other users were more likely to engage with Reddit posts on AI that were high in cognitive and analytic content compared to affective and emotional content. In addition to the practical contribution of public opinion on AI, the results contribute to the theoretical discussions on affective and cognitive language in social media discussions.

Suggested Citation

  • Nina Savela & Max Pellert & Rita Latikka & Jenna Bergdahl & David Garcia & Atte Oksanen, 2025. "Affective, cognitive, and contextual cues in Reddit posts on artificial intelligence," Journal of Computational Social Science, Springer, vol. 8(1), pages 1-27, February.
  • Handle: RePEc:spr:jcsosc:v:8:y:2025:i:1:d:10.1007_s42001-024-00335-x
    DOI: 10.1007/s42001-024-00335-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s42001-024-00335-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s42001-024-00335-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:spr:jcsosc:v:8:y:2025:i:1:d:10.1007_s42001-024-00335-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.