This project aims to detect fake profiles on social media platforms using Artificial Neural Networks (ANNs). Through the analysis of user data and behavioral patterns, the model makes …

The Fake Profile Detection project uses machine learning techniques to identify and flag fake profiles on social media or dating platforms. By analyzing various attributes of profiles, the …

A machine learning-driven approach to detect fake Instagram profiles using XGBoost and data analysis techniques. This project employs feature engineering, exploratory data analysis …

The main theme of our paper is identifying whether the instagram profile is genuine or fake. Algorithms will be trained with all previous users fake and genuine account data and then …

Discover how machine learning techniques can detect fake social media profiles. Learn about LSTM, XG Boost, Random Forest, and Neural Networks. Find out which technique is the best …

Jul 9, 2020 · Our project proposes to develop various machine learning methods like Random Forest, XG Boost, Ada Boost, Decision Tree, Support Vector Machine, Neural Network, LSTM …

Mar 19, 2024 · In this paper, we propose a detection technique called Fake Profile Recognizer (FPR) for verifying the identity of profiles, and detecting the fake profiles in OSNs.

So, in this project, the author’ll talk about a detection model that uses a variety of machine learning techniques to distin-guish between fake and real Twitter profiles based on attributes …

Jan 1, 2022 · This paper introduces a cutting-edge deep-transfer learning model that streamlines fake-profile detection through a comprehensive analysis of diverse social media data samples.

Apr 19, 2022 · This work is done to show that how word embedding techniques are used in identifying fake profiles. Add a description, image, and links to the fake-profile-detection topic …