IDEAS home Printed from https://ideas.repec.org/a/bla/jinfst/v77y2026i4p640-658.html

Repetition and modality in information trustworthiness judgments: Investigating the illusory truth effect in multimodal health information environments

Author

Listed:
  • Shaoxiong Fu
  • Jinling Song
  • Xiaoyu Chen

Abstract

The illusory truth effect, in which repeated exposure increases trust regardless of accuracy, poses significant challenges to the perceived trustworthiness of health information in digital environments. Although repetition is known to enhance cognitive fluency, little is known about how different modalities influence this effect. Drawing on cognitive fluency and dual‐coding theories, this research investigates how repetition and modality interact to shape trustworthiness judgments of health information. Three online experiments were conducted to examine users' perceived trustworthiness of health information across different conditions. Experiment 1 the effect of repetition on messages varying in truthfulness (true vs. false) and familiarity (familiar vs. unfamiliar). Experiments 2 and 3 examined the role of modality (text‐only, text‐and‐image, short video) and cross‐modal repetition. Results show that, in the text‐only condition, an unfamiliar true message is perceived as more trustworthy than other information. Repetition significantly increases perceived trustworthiness in text‐and‐image and short video formats, albeit with diminishing returns after two exposures. Cross‐modal repetition further amplifies such trustworthiness effects. These findings extend theoretical understanding of the illusory truth effect in multimodal health information environments and offer practical insights for designing interventions to reduce the spread of misinformation on social media.

Suggested Citation

  • Shaoxiong Fu & Jinling Song & Xiaoyu Chen, 2026. "Repetition and modality in information trustworthiness judgments: Investigating the illusory truth effect in multimodal health information environments," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 77(4), pages 640-658, April.
  • Handle: RePEc:bla:jinfst:v:77:y:2026:i:4:p:640-658
    DOI: 10.1002/asi.70046
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.70046
    Download Restriction: no

    File URL: https://libkey.io/10.1002/asi.70046?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
    ---><---

    More about this item

    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:bla:jinfst:v:77:y:2026:i:4:p:640-658. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    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.