Is this hotel review truthful or deceptive? A platform for disinformation detection through computational stylometry.
Year: 2020
Type: conference-paper
Abstract: In this paper, we present a web service platform for disinformation detection in hotel reviews written in English.The platform relies on a hybrid approach of computational stylometry techniques, machine learning and linguistic rules written using COGITO c , Expert System Corp.'s semantic intelligence software thanks to which it is possible to analyze texts and extract all their characteristics.We carried out a research experiment on the Deceptive Opinion Spam corpus, a balanced corpus composed of 1,600 hotel reviews of 20 Chicago hotels split into four datasets: positive truthful, negative truthful, positive deceptive and negative deceptive reviews.We investigated four different classifiers and we detected that Simple Logistic is the most performing algorithm for this type of classification.
Authors: Antonio Pascucci, Raffaele Manna, Ciro Caterino, Vincenzo Masucci, Johanna Monti
Institutions: University of Naples Federico II, University of Salerno
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W3031261752