Jan 22, 2018 · Many examples exist of cases where fake accounts created by bots or computers have been detected successfully using machine learning models.

Knowing the key features and behavioral differences between humans with real accounts as opposed to bots operating via fake accounts is key to the detection ...

This project uses several machine learning techniques to discriminate between fake and authentic Twitter profiles based on characteristics such as follower and ...

Researchers have started to look into reliable strategies for identifying fake accounts and questionable activities using account attributes.

In the end, we conclude that the research work have been done to detect, identify and eliminate fake bot accounts created and cyborgs cannot be used for.

Discover how machine learning techniques can detect fake social media profiles. Learn about LSTM, XG Boost, Random Forest, and Neural Networks.

In recent years, some researchers have used various machine learning-based approaches to develop autonomous disease detection systems, and early disease ...

This paper aims to test the hypothesis that the quality of social media bot detection systems based on supervised machine learning may not be as accurate as ...

Mar 15, 2023 · If humans are unable to detect fake profile and posts and to report them then it will have to be the role of automated detection, like removing ...

The support vector machine, neural network, and the most current technique, SVM-NN, were used to determine whether the chosen accounts were actual or spam. SVM- ...