Abstract
In the course of the research, an approach for detecting fake news was developed. The proposed algorithm consists of: a vectorizer based on FastText, a clustering algorithm and a set of fully connected neural networks. The algorithm is implemented in Python using libraries for machine learning, and an API is created using the Flask framework. The software package is deployed on the Internet and is available to users.
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