Is this hotel review truthful or deceptive? A platform for disinformation detection through computational stylometry

Antonio Pascucci, Raffaele Manna, Ciro Caterino, Vincenzo Masucci, Johanna Monti

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, 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.
Anthology ID:
2020.stoc-1.6
Volume:
Proceedings for the First International Workshop on Social Threats in Online Conversations: Understanding and Management
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Archna Bhatia, Samira Shaikh
Venue:
STOC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
35–40
Language:
English
URL:
https://aclanthology.org/2020.stoc-1.6
DOI:
Bibkey:
Cite (ACL):
Antonio Pascucci, Raffaele Manna, Ciro Caterino, Vincenzo Masucci, and Johanna Monti. 2020. Is this hotel review truthful or deceptive? A platform for disinformation detection through computational stylometry. In Proceedings for the First International Workshop on Social Threats in Online Conversations: Understanding and Management, pages 35–40, Marseille, France. European Language Resources Association.
Cite (Informal):
Is this hotel review truthful or deceptive? A platform for disinformation detection through computational stylometry (Pascucci et al., STOC 2020)
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