Source trustworthiness can help discerning reliable and truthful information. We offer a computable model for the dynamic assessment of sources trustworthiness based on their popularity, knowledge-ability, and reputation. We apply it to the debate among medical experts in Italy during three distinct phases of the SARS-CoV-19 pandemic, and validate it against a dataset of newspaper articles. The model shows promising results in the analysis of expert debates their impact on public opinion.
Computable Trustworthiness Ranking of Medical Experts in Italy during the SARS-CoV-19 Pandemic / D. Ceolin, F. Doneda, G. Primiero - In: GoodIT '21: Proceedings[s.l] : ACM, 2021. - ISBN 9781450384780. - pp. 271-276 (( convegno Conference on Information Technology for Social Good tenutosi a Roma nel 2021 [10.1145/3462203.3475907].
|Titolo:||Computable Trustworthiness Ranking of Medical Experts in Italy during the SARS-CoV-19 Pandemic|
PRIMIERO, GIUSEPPE (Corresponding)
|Parole Chiave:||Trustworthiness; Disinformation; Trust|
|Settore Scientifico Disciplinare:||Settore M-FIL/02 - Logica e Filosofia della Scienza|
|Data di pubblicazione:||2021|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1145/3462203.3475907|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|