Italian Twitter semantic network during the Covid-19 epidemic

نویسندگان

چکیده

The Covid-19 pandemic has had a deep impact on the lives of entire world population, inducing participated societal debate. As in other contexts, debate been subject several d/misinformation campaigns; quite unprecedented fashion, however, presence false information seriously put at risk public health. In this sense, detecting malicious narratives and identifying kinds users that are more prone to spread them represent first step limit persistence former ones. present paper we analyse semantic network observed Twitter during Italian lockdown (induced by hashtags contained approximately 1.5 millions tweets published between 23rd March 2020 April 2020) study extent which various discursive communities exposed arguments. studies, recovered largely overlap with traditional political parties, even if debated topics concern different facets management pandemic. Although themes directly related minority those discussed within our networks, their popularity is unevenly distributed among communities.

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ژورنال

عنوان ژورنال: EPJ Data Science

سال: 2021

ISSN: ['2193-1127']

DOI: https://doi.org/10.1140/epjds/s13688-021-00301-x