DONGO, Irvin; CARDINALE, Yudith; AGUILERA, Ana

doi:10.1109/ICSRS48664.2019.8987623

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DONGO, Irvin
ESTIA INSTITUTE OF TECHNOLOGY

CARDINALE, Yudith

AGUILERA, Ana

Langue

Communication dans un congrès

Ce document a été publié dans

2019 4th International Conference on System Reliability and Safety (ICSRS), 2019 4th International Conference on System Reliability and Safety (ICSRS), 2019-11-20, Roma. 2020-02-10

IEEE

Résumé en anglais

In this paper, we present a study about the most popular information sources available on the Web (e.g., Google, Facebook, Twitter) and the available methods to verify their publications. We propose a generic credibility analysis model for social information sources, which is instantiated for Twitter. We show a proof of concepts through the development of World White Web, a Google Chrome extension application that implements the model to analyze tweets in real time, using web scraping. Our study demonstrates the feasibility and suitability of creating efficient methods to analyze the credibility of publication on social networks and points out the challenges and open problems that should be overcome in future solutions in this area.< Réduire

Mots clés en anglais

Credibility

Fake News

Information Sources

Twitter

Facebook

Google

API