Authors:
Claudio Cilli
;
Giulio Magnanini
;
Lorenzo Manduca
and
Fabrizio Venettoni
Affiliation:
Department of Computer Science, La Sapienza, University of Rome, Rome, Italy
Keyword(s):
Fake News, Misinformation, Disinformation, AI, Scraper, Deep Learning, NLP, Cybersecurity, 5W.
Abstract:
Nowadays, information is taking on an increasingly central role in people’s lives. With the rise of internet, the amount of information has grown exponentially as the ease of publishing content of all types has increased. At the same time, however, the risks deriving from the lack of checks on the truthfulness of these have also increased. In fact, a ”Fake” information content can lead to serious reputational, economic or health damages. To overcome the problem of verification, several studies have been carried out, but none of them appears to have been the subject of a significant commercial implementation. In all the projects proposed so far there is a common thread, that is to act directly to the source of the news, examining, thanks to existing technologies, the possible truthfulness of the same. On the other hand, lacking a real involvement of the reader, these projects were not suitable to increase the awareness of the end user. This work implements a technological platform abl
e to provide a reliability value of a digital news, thus measuring the level of impartiality of the author through the evaluation of a defined series of parameters.
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