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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM44901

AI Based Automated Detection of Dark Patterns on Websites

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM44901

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM44901

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.

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Authors

PV

Prakathi V1

SM

Srinithi M2

VC

Vikashini C3

YDR

Yoga Dharshni R4

D

Dr.R.Ahila5

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Abstract

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

Dark patterns deceptive design natural language processing artificial intelligence machine learning and user experience.

Cite This Article

Prakathi V1, Srinithi M2, Vikashini C3, Yoga Dharshni R4, Dr.R.Ahila5, "AI Based Automated Detection of Dark Patterns on Websites," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM44901

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Publication Date

4/17/2025

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Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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