Fake news in the real world
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2019Valeuutiset ovat ilmiönä dominioineet poliittista keskustelua Yhdysvalloissa jo muutaman vuoden ajan. Tämä tutkielma tutkii valeuutisia ja havaitsee toistuvia elementtejä, joita voisi käyttää koneoppimismenetelmissä. Tutkielman johtopäätös on, että täysin automatisoidut, ennalta ehkäisevät menetelmät eivät ole toteuttamiskelpoisia tämän hetkisessä sosiopoliittisessa ympäristössä. The phenomenon of fake news and its role in spreading misinformation has dominated the public discourse in the United States for several years now. This paper examines fake news and finds consistent and predictable patterns that can be used by machine learning algorithms. However, despite the display of consistent, predictable behaviour, fully automated pre-emptive solutions appear to be unviable in the current sociopolitical climate.
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