Journal Article

Fake News and Covid-19 in Italy: Results of a Quantitative Observational Study

Biamonte, Massimiliano Alberto, Giorgetti, Duccio, Bonaccorsi, Guglielmo, Albora, Giuseppe, Moscadelli, Andrea, Bonanni, Paolo, Paoli, Sonia, Lorini, Chiara, Innocenzio, Michele

2020

Overview

During the Covid-19 pandemic, risk communication has often been ineffective, and from this perspective “fake news” has found fertile ground, both as a cause and a consequence of it. The aim of this study is to measure how much “fake news” and corresponding verified news have circulated in Italy in the period between 31 December 2019 and 30 April 2020, and to estimate the quality of informal and formal communication. We used the BuzzSumo application to gather the most shared links on the Internet related to the pandemic in Italy, using keywords chosen according to the most frequent “fake news” during that period. For each research we noted the numbers of “fake news” articles and science-based news articles, as well as the number of engagements. We reviewed 2102 articles. Links that contained fake news were shared 2,352,585 times, accounting for 23.1% of the total shares of all the articles reviewed. Our study throws light on the “fake news” phenomenon in the SARS-CoV-2 pandemic. A quantitative assessment is fundamental in order to understand the impact of false information and to define political and technical interventions in health communication. Starting from this evaluation, health literacy should be improved by means of specific interventions in order to improve informal and formal communication.

• Publisher: MDPI AG,MDPI
• Subject: Betacoronavirus / Communication / Communications Media - standards / Communications Media - statistics & numerical data / Coronavirus Infections - epidemiology / Coronaviruses / COVID-19 / Disease prevention / Disease transmission / False information / Health Communication - standards / Health education / Health Literacy / Humans / Influenza / Internet / Italy - epidemiology / Observational studies / Pandemics / Pneumonia, Viral - epidemiology / Population / SARS-CoV-2 / Severe acute respiratory syndrome coronavirus 2 / Social networks / Viruses