The week's pick
Random Articles
Reseach Article
AI-Generated Synthetic Content on the Web: Impacts on Credibility, Detection Strategies, and Ethical Challenges
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 30 |
| Year of Publication: 2025 |
| Authors: Atul Jindal |
10.5120/ijca2025925534
|
Atul Jindal . AI-Generated Synthetic Content on the Web: Impacts on Credibility, Detection Strategies, and Ethical Challenges. International Journal of Computer Applications. 187, 30 ( Aug 2025), 57-62. DOI=10.5120/ijca2025925534
Abstract
Synthetic content, which moves virally across the web, has created concerns about its impact on information saturation, online data authenticity, and originality. This study mainly focused on the synthetic content generated by AI on user credibility. It also examines the challenges and ethical concerns arising from the vast usage of synthetic content, while introducing different methods for detecting and combating its spread. The research also focuses on case studies of how new technologies handle synthetic content on the web and their effect on online networks. The paper ends with a survey on new technologies and predictions regarding the growth of synthetic content on the internet.
References
- Ghiurău, D., & Popescu, D. E. (2024). Distinguishing Reality from AI: Approaches for Detecting Synthetic Content. Computers, 14(1), 1.
- Ciftci, U. A., Demir, I., & Yin, L. (2020). Fakecatcher: Detection of synthetic portrait videos using biological signals. IEEE Transactions on Pattern Analysis and Machine Intelligence.
- Lounge, T. (2023, June 15). AI searches worldwide reached an all-time high in May. Mint. https://www.livemint.com/mint-lounge/business-of-life/ai-searches-worldwide-all-time-high-may-111686816202303.html
- Subramani, R. A Descriptive Study on Emerging AI Tools in Digital Media Content.
- Cooke, D., Edwards, A., Barkoff, S., & Kelly, K. (2024). As Good as A Coin Toss: Human detection of AI-generated images, videos, audio, and audiovisual stimuli. arXiv preprint arXiv:2403.16760.
- Bougueffa, H., Keita, M., Hamidouche, W., Taleb-Ahmed, A., Liz-López, H., Martín, A., ... & Hadid, A. (2024). Advances in AI-Generated Images and Videos. International Journal of Interactive Multimedia & Artificial Intelligence, 9(1).
- Hao, S., Han, W., Jiang, T., Li, Y., Wu, H., Zhong, C., ... & Tang, H. (2024). Synthetic data in AI: Challenges, applications, and ethical implications. arXiv preprint arXiv:2401.01629.
- Kumar, A. (2024). Synthetic data’s role in advancing AI models includes opportunities, challenges, and ethical considerations. Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023, 5(1), 443-459.
- Giansiracusa, N. (2021). How algorithms create and prevent fake news (pp.) 17-39). Berkeley, CA: Apress.
- Elkin-Koren, N. (2020). Contesting algorithms: Restoring public interest in content filtering using artificial intelligence. Big Data & Society, 7(2), 2053951720932296.
- Herse, S., Judge, W., Johnston, B., Ebrahimian, D., Ojha, S., Williams, M.-A., Tonkin, M., & Vitale, J. (2018). Do You Trust Me blindly? Factors Influencing Trust in a Robot Recommender System. 7–14. https://doi.org/10.1109/roman.2018.8525581
- Mathur, S., Tewari, A., & Singh, A. (2021). Modeling the Factors affecting Online Purchase Intention: The Mediating Effect of Consumer attitude towards user-generated content. Journal of Marketing Communications, 28(7), 725–744. https://doi.org/10.1080/13527266.2021.1936126
- Lowry, P. Wilson, B., and Haig, W. L. (2013). A Picture is Worth a Thousand Words: Source Credibility Theory Applied to Logo and Website Design for Heightened Credibility and Consumer Trust. International Journal of Human-Computer Interaction, 30(1), 63–93. https://doi.org/10.1080/10447318.2013.839899
- Huang, Y., & Sundar, S. S. (2020). Do We Trust the Crowd? Effects of Crowdsourcing on Perceived Credibility of Online Health Information. Health Communication, 37(1), 93–102. https://doi.org/10.1080/10410236.2020.1824662
- Van Der Sloot, B. (2024). Regulating Synthetic Society. hart. https://doi.org/10.5040/9781509974979
- Cuomo, M. T., Festa, G., Tortora, D., Giordano, A., Martinelli, E., & Metallo, G. (2020). User‐generated content in the era of digital well‐being: A netnographic analysis in a healthcare marketing context. Psychology & Marketing, 37(4), 578–587. https://doi.org/10.1002/mar.21327
- Jafarov, S. (2025). Simulated Communities and Online Mentoring. International Journal of Current Science Research and Review, 08(01). https://doi.org/10.47191/ijcsrr/v8-i1-38.
Index Terms
Keywords