AuthentiCheck: Combating Fake Twitter Profiles with Advanced Machine Learning Techniques

Pravin Patil, Priyanshu Chaudhari, Nilesh Wankhede, Aditya Khandelwal, Tejas Sonar

2025

Abstract

The increasing prevalence of fake profiles on social media platforms, particularly Twitter, has become a pressing issue, impacting user trust, security, and the integrity of online interactions. These fake accounts—comprising bots, impostors, and malicious entities—are frequently used for phishing, identity theft, spreading misinformation, and influencing public opinion. Despite efforts by social media platforms to tackle this problem, the evolving tactics of cybercriminals demand more advanced and effective solutions.To address this, we developed AuthentiCheck, a browser plug-in that leverages cutting-edge machine learning technologies to detect and classify fake Twitter profiles. AuthentiCheck analyzes key behavioral attributes, such as tweeting frequency, follower growth, and engagement patterns, to distinguish between legitimate and fraudulent accounts. Using a dataset of over 9,600 manually labeled profiles, we trained and evaluated several state-of-the-art machine learning models, selecting the most accurate and salable model for deployment.AuthentiCheck offers users a seamless and user-friendly way to verify profile authenticity with a simple right-click on a Twitter ID. The plug-in provides real-time feedback on a profile's legitimacy, empowering users to navigate social media more securely. This work demonstrates how advanced machine learning techniques can combat the challenges posed by fake profiles and lays the foundation for future improvements in real-time detection systems

Paper Citation

in Harvard Style

Patil P., Chaudhari P., Wankhede N., Khandelwal A. and Sonar T. (2025). AuthentiCheck: Combating Fake Twitter Profiles with Advanced Machine Learning Techniques. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 455-462. DOI: 10.5220/0013621500004664

in Bibtex Style

@conference{incoft25,
author={Pravin Patil and Priyanshu Chaudhari and Nilesh Wankhede and Aditya Khandelwal and Tejas Sonar},
title={AuthentiCheck: Combating Fake Twitter Profiles with Advanced Machine Learning Techniques},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT},
year={2025},
pages={455-462},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013621500004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT
TI - AuthentiCheck: Combating Fake Twitter Profiles with Advanced Machine Learning Techniques
SN - 978-989-758-763-4
AU - Patil P.
AU - Chaudhari P.
AU - Wankhede N.
AU - Khandelwal A.
AU - Sonar T.
PY - 2025
SP - 455
EP - 462
DO - 10.5220/0013621500004664
PB - SciTePress