Abstract: Now a day’s Social media for news consumption is a double-edged sword. On the one hand, its low cost, easy access. Because of its wide range of “fake news”, been seen i.e., low quality news with intensity of false information. By the spread of this fake news, it has the potential for extremely negative effects on individuals and society. Therefor the reality of news publishing in the social media became more unfair and un relative. Detection a fake news in social media provide unique challenges that make existing detection algorithms from traditional news in media is ineffective or not applicable. First, fake news mainly written to mislead readers to accept the false information, which makes it difficult to detect based on news content. Second, one is that exploiting its auxiliary information is making more challenging in users by that social engagements with fake news make the data much big, incomplete, unstructured, and noisy.

Keywords: Detecting fake news, Alexa ranking, Google page ranking, protocol, comparison, content matching.

PDF | DOI: 10.17148/IJARCCE.2021.10218

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