International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 187 - Issue 30 |
Published: August 2025 |
Authors: Atul Jindal |
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Atul Jindal . AI-Generated Synthetic Content on the Web: Impacts on Credibility, Detection Strategies, and Ethical Challenges. International Journal of Computer Applications. 187, 30 (August 2025), 57-62. DOI=10.5120/ijca2025925534
@article{ 10.5120/ijca2025925534, author = { Atul Jindal }, title = { AI-Generated Synthetic Content on the Web: Impacts on Credibility, Detection Strategies, and Ethical Challenges }, journal = { International Journal of Computer Applications }, year = { 2025 }, volume = { 187 }, number = { 30 }, pages = { 57-62 }, doi = { 10.5120/ijca2025925534 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2025 %A Atul Jindal %T AI-Generated Synthetic Content on the Web: Impacts on Credibility, Detection Strategies, and Ethical Challenges%T %J International Journal of Computer Applications %V 187 %N 30 %P 57-62 %R 10.5120/ijca2025925534 %I Foundation of Computer Science (FCS), NY, USA
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.