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Unmasking sentiments

A netnographic exploration of public discourse on facemasks during the Covid-19 pandemic in Italy

Bibliographic Data

ID21621322
AuthorsSara Costa (0000-0002-4294-6641, Roma Tre University, corresponding author), Lucía Liste (0000-0003-4104-8273, NTNU Samfunnsforskning), Giuseppe Carrus (0000-0003-1680-1657, Roma Tre University)
Year2025
Volume44
Issue4
Pages2519-2531
Publication date2025-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCurrent Psychology (JOURNAL)
Journal identifiersISSN: 1046-1310 • E-ISSN: 1936-4733
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s12144-025-07351-8
OpenAlexW4406485607
LanguageEN
Citations received1
References cited52

The COVID-19 pandemic was marked by widespread uncertainty, and social media emerged as a dominant form of social interaction during lockdowns and physical distancing. These platforms have become powerful tools for assessing and monitoring macroscale trends in public discourse, offering valuable insights into societal dynamics during this time. This study contributes to the understanding of the evolving public sentiment in Italy during various phases of the COVID-19 crisis. Through a netnographic content analysis of a sample of one thousand Italian tweets, we discerned fluctuating trust in the government, oscillating from low to high and back. We posit that these shifts may not solely be attributed to governmental communication styles (e.g., increases or decreases in transparency and clarity) but may also be influenced by the collectively negotiated psychological states of individuals during varying phases of the crisis. These findings may shed light on the complexities of public sentiment during crises and offer important insights for policymakers and public health officials dealing with future critical events

2019-20 coronavirus outbreak · Pandemic · Public health · Cultural Differences and Values · Emotions and Moral Behavior · Medicine · Misinformation and Its Impacts · Psychology · Virology

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Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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