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Using credibility to stop the spread of fake news

Akkerman, H.J. (2021) Using credibility to stop the spread of fake news.

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Abstract:In this thesis, the goal is to find an automatic way to separate fake news articles from real articles, which could be used to stop this spread. To do this, the credibility of an article will be looked at, in order to determine if an article is real or not. An algorithm was created, to determine the credibility, based on the author, publisher, and listed references. These article attributes would be compared with other datasets on the internet, and an estimation of the credibility would be given. If an article were estimated as credible, it would also mean the content would be true. Through testing, an F1 score of .75 was found, with the true positive being detecting a real article as real. This result shows that there is a potential for using credibility, to verify an article as real. The credibility was also used to detect fake articles as fake, and an even higher F1 score was found, but because testing was done with limited data, and a non-credible source could still speak the truth, this result would be considered as inconclusive.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Creative Technology BSc (50447)
Link to this item:http://purl.utwente.nl/essays/86236
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