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Authors: Vincenza Carchiolo 1 ; Alessandro Longheu 2 ; Michele Malgeri 2 ; Giuseppe Mangioni 2 and Marialaura Previti 2

Affiliations: 1 DMI, University of Catania, Italy ; 2 DIEEI, University of Catania, Italy

Keyword(s): Credibility, Trust, Social Network, Information Diffusion.

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 several formats:
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 - COMPLEXIS; ISBN 978-989-758-427-5; ISSN 2184-5034, SciTePress, pages 34-42. DOI: 10.5220/0009340500340042

@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 - COMPLEXIS},
year={2020},
pages={34-42},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009340500340042},
isbn={978-989-758-427-5},
issn={2184-5034},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Complexity, Future Information Systems and Risk - COMPLEXIS
TI - Credibility-based Model for News Spreading on Online Social Networks
SN - 978-989-758-427-5
IS - 2184-5034
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
PB - SciTePress

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