Published October 20, 2021 | Version v1
Journal article Open

The anti-Green Pass rhetoric in Italy is shaped by anti-vaccine views and focuses on limitations of personal freedom: A social listening analysis on Telegram chats

  • 1. University of Zurich - Institute of Biomedical Ethics and History of Medicine

Description

Background

The recent introduction of COVID-19 certificates in several countries, including the introduction of a European Green Pass, has been met with protests and concerns by a fraction of the population. In Italy, the Green Pass has been used as a nudging measure to incentivize vaccinations, since unvaccinated people are not allowed to enter restaurants and bars, museums, or stadiums.

Objective

This study aims to understand and describe the concerns of anti-green pass individuals in Italy, the main arguments of discussion, and their characterization.  

Methods

We collected data from Telegram chats and analysed with a mixed-methods approach the arguments and the concerns that were raised by the users.

Results

Most individuals opposing the green pass share anti-vaccine views, but that doubts and concerns about vaccines are not often among the arguments raised to oppose the green pass. Instead, the discussion revolves around legal aspects and the definition of personal freedom. Further, we explain the nature of the dichotomy and similarity between anti-vaccine and anti-green pass discourse, and we discuss the ethical ramifications of our research, focusing on the use of Telegram chats as social listening tool for public health.

Conclusion

A large fraction of anti-green pass individuals share anti-vaccine views. We suggest public health and political institutions to provide a legal explanation and a context for the use of the green pass, as well as to continue focusing on vaccine communication to inform hesitant individuals. Further work is needed to define a consensual ethical framework for social listening for public health.

Files

social listening telegram v7.pdf

Files (657.2 kB)

Name Size Download all
md5:01c321a4b284b7d6c0f14e717c3eefe8
26.5 kB Download
md5:dbf0a7c4bd40f8dfff8da52649efa3c6
630.8 kB Preview Download

Additional details

Related works

Cites
Software: 10.5281/zenodo.5533906 (DOI)