IDEAS home Printed from https://ideas.repec.org/a/kap/jculte/v49y2025i2d10.1007_s10824-025-09534-4.html
   My bibliography  Save this article

The reel deal? An experimental analysis of perception bias and AI film pitches

Author

Listed:
  • Paul Crosby

    (Macquarie University)

  • Jordi McKenzie

    (Macquarie University)

Abstract

Artificial intelligence (AI) is creating significant disruption in many creative industries, including the film industry. With increase in levels of investment in sophisticated AI technologies, film studios can potentially replace, or at least reduce, traditional roles of film professionals. Not surprisingly, such moves have been met with vocal opposition from industry associations and labor unions. In the discourse of such debate, however, limited attention has been given to consumer acceptance of AI in filmmaking. This study provides the first evidence concerning potential perception biases in the context of AI film development, related to film ‘pitches.’ Using a randomized experiment of 500 participants, we find no discernible bias related to AI-generated synopses, inclusive of AI-generated director and casting decisions. Our results suggest that consumers may be accepting of, at least, limited involvement of AI in film development.

Suggested Citation

  • Paul Crosby & Jordi McKenzie, 2025. "The reel deal? An experimental analysis of perception bias and AI film pitches," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 49(2), pages 281-300, June.
    • Handle: RePEc:kap:jculte:v:49:y:2025:i:2:d:10.1007_s10824-025-09534-4
    DOI: 10.1007/s10824-025-09534-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10824-025-09534-4
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10824-025-09534-4?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

    for a different version of it.

    References listed on IDEAS

    as
    1. David Court & Benjamin Gillen & Jordi McKenzie & Charles R. Plott, 2018. "Two information aggregation mechanisms for predicting the opening weekend box office revenues of films: Boxoffice Prophecy and Guess of Guesses," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(1), pages 25-54, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ricard Gil & S. Abraham Ravid & Olav Sorenson, 2025. "Talent and technology in creative industries: introduction to the special issue," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 49(2), pages 241-255, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sonja Radas & Dražen Prelec, 2021. "Predicted preference conjoint analysis," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-16, August.
    2. Sonja Radas & Drazen Prelec, 2019. "Whose data can we trust: How meta-predictions can be used to uncover credible respondents in survey data," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-16, December.
    3. Tom Wilkening & Marcellin Martinie & Piers D. L. Howe, 2022. "Hidden Experts in the Crowd: Using Meta-Predictions to Leverage Expertise in Single-Question Prediction Problems," Management Science, INFORMS, vol. 68(1), pages 487-508, January.
    4. Bronwyn Coate & Robert Hoffmann, 2022. "The behavioural economics of culture," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 46(1), pages 3-26, March.
    5. Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • Z10 - Other Special Topics - - Cultural Economics - - - General

    Statistics

    Access and download statistics

    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:kap:jculte:v:49:y:2025:i:2:d:10.1007_s10824-025-09534-4. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.