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In recent years, with the growing of the Web 2.0, it is really easy for anyone to publish information on the Web without any verification of its authenticity. This fact has driven a radical growth of online Fake News.

Numerous researches from well know institution confirm the growth of false news and the problem that this reality is generating in our society.

The frequency of "fake news" in Google Trends (2004-2018): https://ec.europa.eu/jrc/communities/sites/jrccties/files/dewp_201802_digital_transformation_of_news_media_and_the_rise_of_fake_news_final_180418.pdf

https://trends.google.co.uk/trends/explore?date=all&q=fake%20news

According to a study conducted by Google, it is estimated that the number of false news has increased

Alarming Fake News Statistics

the rise of disinformation ...

the arrival of social media has meant real and fictional stories are now presented in such a similar way that it can sometimes be difficult to tell the two apart.

While the internet has enabled the sharing of knowledge in ways that previous generations could only have dreamed of, it has also provided ample proof of the line, often attributed to Winston Churchill, that "A lie gets halfway around the world before the truth has a chance to get its pants on". https://www.bbc.com/news/blogs-trending-37846860

https://www.bbc.co.uk/mediacentre/latestnews/2017/bbc-world-service-poll

https://www.bbc.com/news/technology-41319683

https://ec.europa.eu/jrc/communities/sites/jrccties/files/dewp_201802_digital_transformation_of_news_media_and_the_rise_of_fake_news_final_180418.pdf

emerge of viral fake news. Using row public data from Twitter, we are going to make an application that based on Machine Learning is able to detect viral fake news.