Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM44901
Volume:
9 |
4 |
Apr 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Websites and apps use dark patterns, which are misleading design strategies, to influence user behavior.They bring up important moral and pragmatic issues. Time pressure, dishonest tactics, distraction, obstruction, social manipulation, compelled behaviours, limited availability, and other dark patterns are all recognized by the artificial intelligence (AI) system presented in this study. Our approach uses natural language processing and machine learning algorithms to examine internet and application user interfaces and identify indicators that indicate the employment of dark patterns. The authors show how well their approach can recognize and classify dark patterns by thoroughly testing and validating it. This makes it easier to follow rules and promotes a more moral and open online community.
KEYWORDS
Publication Date
4/17/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
4
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...