Credibility-based Model for News Spreading on Online Social Networks

Vincenza Carchiolo, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni, Marialaura Previti

Abstract

Trustworthiness in Online Social Networks has become essential to discriminate the goodness of both different information as well as the users it originates. Here a model for news spreading in directed online social networks (OSNs) that takes into account trustworthiness-related issues is introduced. In particular we add a credibility network on top of the acquaintance network naturally present in OSNs to model the changing of each node’s opinion about his/her neighbors every time a piece of news comes from them over the OSN. We examine three different scenarios of news spreading over OSNs and propose a model suitable for each scenario, evaluating its applicability using a real world weighted directed network.

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Paper Citation


in Harvard Style

Carchiolo V., Longheu A., Malgeri M., Mangioni G. and Previti M. (2020). Credibility-based Model for News Spreading on Online Social Networks.In Proceedings of the 5th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS, ISBN 978-989-758-427-5, pages 34-42. DOI: 10.5220/0009340500340042


in Bibtex Style

@conference{complexis20,
author={Vincenza Carchiolo and Alessandro Longheu and Michele Malgeri and Giuseppe Mangioni and Marialaura Previti},
title={Credibility-based Model for News Spreading on Online Social Networks},
booktitle={Proceedings of the 5th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS,},
year={2020},
pages={34-42},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009340500340042},
isbn={978-989-758-427-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS,
TI - Credibility-based Model for News Spreading on Online Social Networks
SN - 978-989-758-427-5
AU - Carchiolo V.
AU - Longheu A.
AU - Malgeri M.
AU - Mangioni G.
AU - Previti M.
PY - 2020
SP - 34
EP - 42
DO - 10.5220/0009340500340042