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.

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doi.org/10.1145/3462203.3475907
Conference on Information Technology for Social Good
Centrum Wiskunde & Informatica, Amsterdam, The Netherlands

Ceolin, D, Doneda, F, & Primiero, G. (2021). Computable trustworthiness ranking of medical experts in Italy during the SARS-CoV-19 pandemic. In Proceedings of the Conference on Information Technology for Social Good (pp. 271–276). doi:10.1145/3462203.3475907