International Conference on Computer and Knowledge Engineering

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The process of multi class fake news dataset generation

Authors :

Sajjad Rezaei¹ Mohsen Kahani² Behshid Behkamal³

1- Ferdowsi university of mashhad 2- Ferdowsi university of mashhad 3- Ferdowsi university of mashhad

Keywords :

fake news,fake news detection,social media,reliable dataset

Abstract :

Nowadays, news plays a significant role in everyday life. Due to the increasing usage of the social media and the dissemination of news by people who have access to social media, there is a problem that the validation of the news may be questioned, and people may publish fake news for their benefit. Automatic fake news detection is a complex issue. It is necessary to have up-to-date and reliable data to build an efficient model for the detection. However, there are very few such datasets available for researchers. In this paper, we proposed a new fake news dataset that was extracted from three famous and reliable fact-checking websites. Because of different labels used in each site, an algorithm was developed to integrated these 37 labels into 5 unified labels. Some experiments were conducted to show the usability and validity of the dataset.

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