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Decoding Deepfake Perceptions: Trustworthiness, Importance and Behavioral Intention
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AI
DOI：10.1007/s10796-026-10765-9.png)
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Abstract
En 中文
The present study examines association between deepfake content trustworthiness, perceived importance of content, attitude towards content, and behavioral intentions. Furthermore, the mediating role of perceived importance of content and moderating role of attitude is also observed. The data is collected from 393 customers approached in shopping malls in Delhi-NCR through mall-intercept survey methodology and proposed theoretical model is tested using PLS-SEM. The results indicate that the trustworthiness of deepfake content significantly influence individual’s attitude and behavioral intention. The perceived importance of content also plays significant roles as driving factor and mediator, sharping the way users engage with deepfake media. This study will offer insights to practitioners, media platforms and digital content creators in addressing misinformation and enhancing audience trust. This study also provides valuable perspective on elaboration likelihood model that how content evaluation is carried out by users in the age of AI-generated media.
Keywords:
Deepfake Content
Deepfake Perceptions
Deepfake Trustworthiness
Importance of Content
Behavioral Intentions
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