Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM54113
Volume:
9 |
11 |
Nov 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.
The rapid expansion of social media has improved communication but has also increased the spread of misinformation, unsafe content, and fake user activity. This paper proposes an AI-driven social media concept that focuses on detecting misleading posts, identifying harmful behavior, and ensuring user authenticity. The system incorporates machine learning, natural language processing, and behavioral analysis to evaluate content and user actions. The aim of this paper is to introduce the conceptual framework of the platform, highlight its major components, and present its potential to improve the integrity and safety of online social interactions. This work represents a basic idea submission and does not include implementation details.
KEYWORDS
Publication Date
11/18/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
2
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...