title: ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ ÑÐµÐ¹ÐºÐ¾Ð²ÑÑ Ð½Ð¾Ð²Ð¾ÑÑÐµÐ¹
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Research of methods for an automatic fake news detection
Creators: name: ÐÑÐ¶Ð¸Ð½Ð°, ÐÐ°ÑÐ°Ð»ÑÑ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: ÑÐµÐ¹ÐºÐ¾Ð²ÑÐµ Ð½Ð¾Ð²Ð¾ÑÑÐ¸
Ð²ÑÑÐ²Ð»ÐµÐ½Ð¸Ðµ ÑÐµÐ¹ÐºÐ¾Ð²ÑÑ Ð½Ð¾Ð²Ð¾ÑÑÐµÐ¹
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
fake news
fake news detecting
machine learning

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description: The work relates to the study of fake news, the main goal of the work is to study machine learning methods for fake news automatic detection. The task of fake news detection in this paper is formulated as the task of text classification. The first chapter describes the general modern attitude to fake news, and also formulates the task of identifying them. The second chapter provides an overview of the main existing approaches to identifying fake news. The third chapter theoretically describes the methods selected for implementation. The fourth chapter is devoted to the selection and preparation of dataset for evalua-tion of the developed method. The fifth chapter describes the implementation of the methods and the results of experimental study. The main results of this work are the review of existing approaches to identifying fake news, the pre-processed in two ways publicly available dataset for experimental study and model training, as well as a proposed method for identifying fake news using machine learning methods.