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EnglishSocial networks are intensively and extensively used to exchange news and contents in real time. The lack of a global authority for assessing posts truthfulness however allows malicious to exhibit unfair behaviours; identifying methodologies to detect hoaxes and defamatory content automatically is therefore more and more required. Social networks as Facebook and Twitter provided specific solutions and general approaches were also developed; in this paper we present a general model that takes into account both post as well as usersâ credibility, using a duplex network of acquaintances and credibility among users. First experiments show that it is possible to distinguish individuals who post non-truthful content through a combined analysis of both the news content and the reposts they get from their contacts.
| Titolo: | Post sharing-based credibility network for social network |
| Autori interni: | |
| Data di pubblicazione: | 2017 |
| Handle: | http://hdl.handle.net/20.500.11769/320863 |
| ISBN: | 978-3-319-66378-4 978-3-319-66379-1 |
| Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |
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