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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM55051
Volume:
9 |
12 |
Dec 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.
Social media platforms have transformed digital communication but continue to face persistent challenges related to content safety, user security, and trust. Unregulated or insufficiently moderated environments often enable harmful content, misinformation, and malicious activity. ChimeIn is designed to address these issues by providing a secure and community-governed social networking platform featuring automated content moderation and context-aware authentication. The system integrates predefined community rules with intelligent text analysis to filter harmful or inappropriate posts before publication. In addition, ChimeIn employs context-based authentication—using device, location, and browser parameters—to detect suspicious login attempts and enhance account security. The platform architecture emphasizes modularity, user privacy, and real-time decision making. Evaluation across moderation, classification, and authentication components demonstrates strong performance, with an overall moderation accuracy of 91.25%, category classification accuracy of 82%, and suspicious login detection accuracy of 93.3%. The results show that ChimeIn effectively improves user safety and reliability while maintaining a seamless social media experience.
KEYWORDS
Publication Date
10/11/2025
Peer Review Type
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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