IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v14y2024i4p21582440241302282.html
   My bibliography  Save this article

“It’s Up to Me Whether I Do—Or Don’t—Watch Deepfakes†: Deepfakes and Behavioral Intention

Author

Listed:
  • Wanqi Li
  • Huiying Zhao

Abstract

The rapid spread of disinformation and misinformation created by deepfake poses threats and challenges to society. Most studies have analyzed deepfakes in terms of computer science, but there is now a pressing need to study them from the perspective of social science. This study aims to explore the factors that affect individuals’ intentions of watching or sharing deepfakes, the relationships between behaviors related to deepfakes and the impact of deepfakes to individuals or to the society. Accordingly, this study constructs a theoretical model and considers the impacts of deepfake content and quality on individuals’ behavioral intentions of deepfakes. This study adopts SPSS 26.0 to analyze the data set that involves 582 participants (Male = 234, Female = 348) in total. Results showed that attitude toward deepfakes, subjective norm, and perceived behavioral control positively influenced the individual’s behavioral intention regarding deepfakes, but perceived behavioral control did not have significant effects on behavioral tendencies on deepfakes when tested with other factors. Meanwhile, the quality of deepfake content was related to the individuals’ behavioral intentions of whether they were willing to watch or to share such videos, and there were gender, age, and education differences in individuals’ behavioral tendencies on deepfakes. Furthermore, the consequences of deepfakes were closely related to individuals’ sharing behaviors. The findings contribute to extended the TPB model, expanding the understanding of individuals’ differences in behavioral intentions of deepfakes. The findings also have implications for guiding the development of educational and training strategies to combat the negative effects of deepfakes.

Suggested Citation

  • Wanqi Li & Huiying Zhao, 2024. "“It’s Up to Me Whether I Do—Or Don’t—Watch Deepfakes†: Deepfakes and Behavioral Intention," SAGE Open, , vol. 14(4), pages 21582440241, November.
  • Handle: RePEc:sae:sagope:v:14:y:2024:i:4:p:21582440241302282
    DOI: 10.1177/21582440241302282
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440241302282
    Download Restriction: no

    File URL: https://libkey.io/10.1177/21582440241302282?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
    ---><---

    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:sae:sagope:v:14:y:2024:i:4:p:21582440241302282. 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: SAGE Publications (email available below). General contact details of provider: .

    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.