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Fake news detection on twitter using machine learning algorithm


Author : Shivani Suresh Nikam Prof.Rupali Dalvi

Pages : 798-802
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Abstract

Social media networks have emerged as platforms for communication and information sharing. People all round the world trust heavily on news printed via social media to learn about regarding current events and activities. As a result, many users have started to exploit social media by broadcasting misleading news for financial and political purposes, which has an undesirable impact on society. Social media services like facebook and twitter  have  recently become a large and continuous supply of daily news. These platforms serve hundreds of millions of users and provide many services such as content creation and publishing. Not all published news on social media is reliable and accurate. Many people try to publish fake and erroneous news in order to influence public opinion. Our aim is to find a reliable and correct model that classifies a given article as either true or false.

Keywords: Fake news; Social media; natural language processing; machine learning

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