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Mis-tweeting communication: a Vaccine Hesitancy analysis among twitter users in Italy.
Gori, Davide; Durazzi, Francesco; Montalti, Marco; Di Valerio, Zeno; Reno, Chiara; Fantini, Maria Pia; Remondini, Daniel.
  • Gori D; Department of Biomedical and Neuromotor Sciences, University of Bologna. davide.gori4@unibo.it.
  • Durazzi F; Department of Physics, University of Bologna. francesco.durazzi2@unibo.it.
  • Montalti M; . marco.montalti7@studio.unibo.it.
  • Di Valerio Z; Department of Biomedical and Neuromotor Sciences, University of Bologna. zeno.divalerio@studio.unibo.it.
  • Reno C; Department of Biomedical and Neuromotor Sciences, University of Bologna. chiara.reno@studio.unibo.it.
  • Fantini MP; Department of Biomedical and Neuromotor Sciences, University of Bologna. mariapia.fantini@unibo.it.
  • Remondini D; Department of Physics, University of Bologna. daniel.remondini@unibo.it.
Acta Biomed ; 92(S6): e2021416, 2021 10 05.
Article in English | MEDLINE | ID: covidwho-1506032
ABSTRACT
BACKGROUND AND

AIM:

A previously unseen body of scientific knowledge of varying quality has been produced during the ongoing COVID-19 pandemic. It has proven extremely difficult to navigate for experts and laymen alike, originating a phenomenon described as "Infodemic", a breeding ground for misinformation. This has a potential impact on vaccine hesitancy that must be considered in a situation where efficient vaccination campaigns are of the greatest importance. We aimed at describing the polarization and volumes of Italian language tweets in the months before and after the start of the vaccination campaign in Italy.

METHODS:

Tweets were sampled in the October 2020-January 2021 period. The characteristics of the dataset were analyzed after manual annotation as Anti-Vax, Pro-Vax and Neutral, which allowed for the definition of a polarity score for each tweet.

RESULTS:

Based on the annotated tweets, we could identify 29.6% of the 2,538 unique users as anti-Vax and 12.1% as pro-Vax, with a strong disagreement in annotation in 7.1% of the tweets. We observed a change in the proportion of retweets to anti-Vax and pro-Vax messages after the start of the vaccination campaign in Italy. Although the most shared tweets are those of opposite orientation, the most retweeted users are moderately polarized. 

Conclusions:

The disagreement on the manual classification of tweets highlights a potential risk for misinterpretation of tweets among the general population. Our study reinforces the need to focus Public Health's attention on the new social media with the aim of increasing vaccine confidence, especially in the context of the current pandemic.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccines / Social Media / COVID-19 Type of study: Experimental Studies / Prognostic study Topics: Vaccines Limits: Humans Country/Region as subject: Europa Language: English Journal: Acta Biomed Journal subject: Medicine Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccines / Social Media / COVID-19 Type of study: Experimental Studies / Prognostic study Topics: Vaccines Limits: Humans Country/Region as subject: Europa Language: English Journal: Acta Biomed Journal subject: Medicine Year: 2021 Document Type: Article