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Contrasting Fake Reviews in TripAdvisor

Fake reviews are a concrete problem still a ecting the relia- bility of systems like TripAdvisor, especially in the case of few reviews, thus in the rst, most vulnerable, activity period of operators. In this work-in-progress paper, we present a model aimed to contrast this prob- lem, based on a sort of normalization of scores given by users, to take into account the level of assurance of the reviews. This is done by consid- ering two di erent dimensions, combined each other, which are the level of assurance of the identity of the review's author and the level of assur- ance of the occurrence of the evaluated experience. The paper presents a rst validation of the approach conducted on real-life data, giving us very encouraging results.

26th Italian Symposium on Advanced Database Systems, Castellaneta Marina, Italy, 2018

Autori esterni: Francesco Buccafurri (DIIES, University Mediterranea of Reggio Calabria, Reggio Calabria, Italy), Gianluca Lax (DIIES, University Mediterranea of Reggio Calabria, Reggio Calabria, Italy)
Autori IIT:

Tipo: Contributo in atti di convegno
Area di disciplina: Computer Science & Engineering

File: paper19.pdf

Attività: Bolle dell'informazione e rilevamento di falsi in rete
Social Media Analysis