Fake Profile Detection Using XGBoost Algorithm

R. Venkadesh, K. Rahuman Khan, G. Ramkishore, R. Rakesh, S. Suyambulingaraj

2025

Abstract

With time many algorithm has been built for social media application, but with the changing environment fake profile is still a problem. Here is a simple approach to building a fake profile detection system using XGBoost. Start with a dataset containing user profile features such as account age, profile completeness (bio, photo, etc.), activity patterns (post frequency, interactions), and engagement metrics (likes, comments, etc.). Utilize pre-verification process or clustering methods to label profiles as “fake” or “genuine” which can produce a trustworthy dataset. Impute missing values and encode categorical data (e.g., one-hot encoding of profile types) into numerical form. This is a pretty basic standardization of input data. User behavior, like average session duration and friend requests, can be leveraged to create better detection insights.

Paper Citation

in Harvard Style

Venkadesh R., Khan K., Ramkishore G., Rakesh R. and Suyambulingaraj S. (2025). Fake Profile Detection Using XGBoost Algorithm. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 663-670. DOI: 10.5220/0013941400004919

in Bibtex Style

@conference{icrdicct`2525,
author={R. Venkadesh and K. Khan and G. Ramkishore and R. Rakesh and S. Suyambulingaraj},
title={Fake Profile Detection Using XGBoost Algorithm},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={663-670},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013941400004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Fake Profile Detection Using XGBoost Algorithm
SN - 978-989-758-777-1
AU - Venkadesh R.
AU - Khan K.
AU - Ramkishore G.
AU - Rakesh R.
AU - Suyambulingaraj S.
PY - 2025
SP - 663
EP - 670
DO - 10.5220/0013941400004919
PB - SciTePress