Fake News Detection using Machine Learning
Pages : 925-928
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Abstract
The proliferation of misleading information in everyday access media outlets such as social media feeds, news blogs, and online newspapers have made it challenging to identify trustworthy news sources In this paper, we focus on the automatic identification of fake content in news. In this paper, we focus on the automatic identification of fake content in news. This aims at investigating the principles, methodologies and algorithms for detecting fake news articles, creators and subjects from online social networks and evaluating. It is observed that LSTM may the best results. In this different set of embedding’s for pre-processing the data was fed to our LSTM mode. Corresponding performance and multiple machine learning algorithms and detection process as studied in detail and present several exploratory analyses on the identification of linguistic differences in fake and legitimate news content are presented.
Keywords: Fake news detection using ML ,fake news detection, machine learning LSTM algorithms