Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{201055,
author = {Harisarvothaman R and Mohamed Imam N and Nawin Vengat M and Vishnuprasath M},
title = {INSTAGUARD: Privacy-First Social Media Platform},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {no},
pages = {279-286},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=201055},
abstract = {Social media platforms have become an integral part of modern communication, enabling users to connect, share information, and interact globally in real time. Despite their widespread adoption and benefits, these platforms face significant challenges related to user privacy, data security, and the spread of harmful content. Issues such as cyberbullying, misinformation, and unauthorized data sharing have raised serious concerns among users and researchers alike. INSTAGUARD is a privacy-focused social media platform designed to address these challenges using artificial intelligence and advanced security mechanisms. The system integrates AI based content moderation techniques to automatically detect and filter harmful or inappropriate content, including abusive language, spam, and misleading information. This ensures a safer and more controlled environment for users. In addition to content moderation, INSTAGUARD introduces a unique screenshot deterrence mechanism to protect user privacy. This feature detects and discourages unauthorized screen capture activities, preventing misuse of personal and sensitive information. By incorporating such innovative techniques, the platform enhances user confidence and promotes responsible content sharing. Furthermore, INSTAGUARD emphasizes user-centric privacy control by allowing individuals to manage their data visibility and interactions effectively. The platform leverages scalable web technologies and machine learning models to ensure real-time performance, adaptability, and efficient handling of large volumes of data. This reduces dependency on manual moderation while improving overall system accuracy. Overall, the proposed system ensures a secure and reliable digital environment by combining intelligent automation with strong security practices. INSTAGUARD not only addresses the limitations of existing social media platforms but also sets a foundation for future privacy-aware systems. It represents a significant step toward building safer, smarter, and more trustworthy online communication platforms.},
keywords = {Social Media, Privacy, Artificial Intelligence, Content Moderation, Security, Screenshot Deterrence},
month = {May},
}
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