Willingness of Users to Accept AI Content Creation
Michal Kubovics · European Business & Management · 2025
This study investigates the impact of perceived content quality and frequency of interaction with AI-generated materials on users' willingness to accept such automated content without additional human editing. Given the expanding role of artificial intelligence in digital communications, exploring user acceptance of AI-produced content is increasingly important. Utilizing a quantitative research method, data was collected from 1,118 internet users familiar with digital content via computer-assisted web interviewing (CAWI). Statistical techniques, specifically Spearman’s correlation and ordinal logistic regression, were employed to pinpoint essential determinants of acceptance. Findings revealed that a higher perceived quality of AI-generated content significantly enhances user willingness to accept it without human review. Conversely, the analysis showed a slight negative correlation regarding interaction frequency, indicating that repeated exposure could heighten users' awareness of imperfections inherent in AI-generated materials, thereby potentially decreasing their trust and willingness to adopt it autonomously. These findings highlight the strategic importance of prioritising content quality over exposure frequency. Limitations regarding the representativeness of the sample and the moderate explanatory power of the statistical model indicate the need for future research to explore additional moderating factors, such as digital literacy, demographic characteristics, and general attitudes towards innovation.