International Journal on Science and Technology
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Volume 17 Issue 2
April-June 2026
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A Multimodal Approach for Age Estimation and Verification of Social Media Users
| Author(s) | Ms Rekha Saraswat, Mr. Shubham Tripathi |
|---|---|
| Country | India |
| Abstract | Social media platforms contain content that is inappropriate for children and teens, ranging from explicit content to cyberbullying. The implementation of age verification can serve as a crucial barrier, which can prevent minors from accessing harmful content. This also helps reduce the chances of encountering online predators. Furthermore, age verification can help social media platforms adhere to legal and regulatory standards. This can also help social media platforms gain more user trust. This is especially important for parents, as it gives off a sense of security and reassures users that the social media platform is dedicated to protecting children and teens by being responsible and trustworthy. The traditional approach of age verification is inaccurate, as it is based on unverified user data, which is easily falsified. This is because user data is notoriously inaccurate. This paper focuses on a multi-modal approach for age estimation and verification of a user's profile on social media platforms by incorporating both image and text data. In this paper, a comprehensive decision matrix is also proposed that is aimed at finalizing the age categorization through the incorporation of user-specific characteristics as well as platform-specific content attributes. |
| Keywords | Image analysis, Text analysis, Decision Matrix, Convolutional neural networks (CNN), Random Forest, Natural Language Processing (NLP), Demographics, Age Estimation, Age Verification, Educational. |
| Field | Computer Applications |
| Published In | Volume 17, Issue 2, April-June 2026 |
| Published On | 2026-04-08 |
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IJSAT DOI prefix is
10.71097/IJSAT
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