Willingness of Users to Accept AI Content Creation

Michal Kubovics

doi:doi:10.11648/j.ebm.20251102.12

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Willingness of Users to Accept AI Content Creation

Michal Kubovics^*

Published in European Business & Management (Volume 11, Issue 2)

Received: 8 April 2025 Accepted: 8 May 2025 Published: 26 June 2025

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Abstract

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.

Published in	European Business & Management (Volume 11, Issue 2)
DOI	10.11648/j.ebm.20251102.12
Page(s)	40-47
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Artificial Intelligence, Automated Content Generation, Trust in AI, AI-generated Content, Human-AI Interaction, Technology Adoption

References

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Kubovics, M. (2025). Willingness of Users to Accept AI Content Creation. European Business & Management, 11(2), 40-47. https://doi.org/10.11648/j.ebm.20251102.12

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ACS Style

Kubovics, M. Willingness of Users to Accept AI Content Creation. Eur. Bus. Manag. 2025, 11(2), 40-47. doi: 10.11648/j.ebm.20251102.12

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Kubovics M. Willingness of Users to Accept AI Content Creation. Eur Bus Manag. 2025;11(2):40-47. doi: 10.11648/j.ebm.20251102.12

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@article{10.11648/j.ebm.20251102.12,
  author = {Michal Kubovics},
  title = {Willingness of Users to Accept AI Content Creation},
  journal = {European Business & Management},
  volume = {11},
  number = {2},
  pages = {40-47},
  doi = {10.11648/j.ebm.20251102.12},
  url = {https://doi.org/10.11648/j.ebm.20251102.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ebm.20251102.12},
  abstract = {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.},
 year = {2025}
}

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TY  - JOUR
T1  - Willingness of Users to Accept AI Content Creation
AU  - Michal Kubovics
Y1  - 2025/06/26
PY  - 2025
N1  - https://doi.org/10.11648/j.ebm.20251102.12
DO  - 10.11648/j.ebm.20251102.12
T2  - European Business & Management
JF  - European Business & Management
JO  - European Business & Management
SP  - 40
EP  - 47
PB  - Science Publishing Group
SN  - 2575-5811
UR  - https://doi.org/10.11648/j.ebm.20251102.12
AB  - 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.
VL  - 11
IS  - 2
ER  -

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Author Information

Michal Kubovics

Faculty of Mass Media Communication, University of Ss. Cyril and Methodius, Trnava, Slovakia

Contact Email

http://orcid.org/0000-0003-1319-1128

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Plain Text BibTeX RIS

APA Style

Kubovics, M. (2025). Willingness of Users to Accept AI Content Creation. European Business & Management, 11(2), 40-47. https://doi.org/10.11648/j.ebm.20251102.12

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ACS Style

Kubovics, M. Willingness of Users to Accept AI Content Creation. Eur. Bus. Manag. 2025, 11(2), 40-47. doi: 10.11648/j.ebm.20251102.12

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AMA Style

Kubovics M. Willingness of Users to Accept AI Content Creation. Eur Bus Manag. 2025;11(2):40-47. doi: 10.11648/j.ebm.20251102.12

Copy | Download

@article{10.11648/j.ebm.20251102.12,
  author = {Michal Kubovics},
  title = {Willingness of Users to Accept AI Content Creation},
  journal = {European Business & Management},
  volume = {11},
  number = {2},
  pages = {40-47},
  doi = {10.11648/j.ebm.20251102.12},
  url = {https://doi.org/10.11648/j.ebm.20251102.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ebm.20251102.12},
  abstract = {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.},
 year = {2025}
}

Copy | Download

TY  - JOUR
T1  - Willingness of Users to Accept AI Content Creation
AU  - Michal Kubovics
Y1  - 2025/06/26
PY  - 2025
N1  - https://doi.org/10.11648/j.ebm.20251102.12
DO  - 10.11648/j.ebm.20251102.12
T2  - European Business & Management
JF  - European Business & Management
JO  - European Business & Management
SP  - 40
EP  - 47
PB  - Science Publishing Group
SN  - 2575-5811
UR  - https://doi.org/10.11648/j.ebm.20251102.12
AB  - 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.
VL  - 11
IS  - 2
ER  -

Copy | Download