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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 2 of 2 1 Classifying Fake News Articles Using Machine Learning Techniques ... Srilatha, Doddi; Rao, Dustakar Prasanth; Nikhil, Chukka; Teja, Janumpally Sai. - : Zenodo, 2021 Abstract: News is important in daily life as it informs our view to the world and in response, we take actions and make choices in various aspects. Gradually, the tendency towards online news is increasing as it is more concise and is available at the finger tips. There has been large generation of deceptive content worldwide that has an effect on the formation of opinions, making decisions and voting trends. Most of the 'fake news' is initially circulated through social media networks such as Twitter, Facebook, and then makes the way into mainstream media outlets such as Radio and TV. The fake news articles share linguistic features such as heavy use of quoted material. In this use case, the results of fake news detection test and the performance of fake news classifiers is discussed. The aim is to build a new fake news detector using classifiers like Logistic Regression, Decision tree classification, Multinomial Naive Bayes classification. ... Keyword: Classifiers; Confusion Matrix; Count Vectorizers; Exploratory Data Analysis; Machine Learning URL: https://zenodo.org/record/5762113 https://dx.doi.org/10.5281/zenodo.5762113 BASE Hide details 2 Classifying Fake News Articles Using Machine Learning Techniques ... Srilatha, Doddi; Rao, Dustakar Prasanth; Nikhil, Chukka. - : Zenodo, 2021 BASE Show details

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