Fake news are not a new thing, there are documents that prove their usage in politics at least since Cicerone 64 BC. According to the most recent behavioral psychology research fake news are today’s winning communication strategy for politicians. In this paper we briefly present a few psychological and historical concepts that will be the foundation for any AI technique to solve the problem. Then we review the 2 most common techniques used today (2021). And finally we propose our detection schema which implements novel Machine Learning approaches in Natural Language Processing (NLP) to identify if a text is either a Fake news or not.
Fake news is defined as: false or misleading information presented as news It often has the aim of damaging the reputation of a person or entity, or making money through advertising revenue. Users on social media tend to form groups containing like-minded people where they then polarize their opinions, resulting in an echo chamber effect.
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| Stefano Ivancich | Marco Zanetti |
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github.com/ivaste |
github.com/Zanett96 |
