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How Italy Tweeted about COVID-19: Detecting Reactions to the Pandemic from Social Media

Author

Listed:
  • Valentina Lorenzoni

    (Institute of Management and Department of Excellence EMbeDS, Scuola Superiore Sant’Anna, 56127 Pisa, Italy)

  • Gianni Andreozzi

    (Institute of Management and Department of Excellence EMbeDS, Scuola Superiore Sant’Anna, 56127 Pisa, Italy)

  • Andrea Bazzani

    (Institute of Management and Department of Excellence EMbeDS, Scuola Superiore Sant’Anna, 56127 Pisa, Italy)

  • Virginia Casigliani

    (Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy)

  • Salvatore Pirri

    (Institute of Management and Department of Excellence EMbeDS, Scuola Superiore Sant’Anna, 56127 Pisa, Italy)

  • Lara Tavoschi

    (Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy)

  • Giuseppe Turchetti

    (Institute of Management and Department of Excellence EMbeDS, Scuola Superiore Sant’Anna, 56127 Pisa, Italy)

Abstract

The COVID-19 pandemic required communities throughout the world to deal with unknown threats. Using Twitter data, this study aimed to detect reactions to the outbreak in Italy and to evaluate the relationship between measures derived from social media (SM) with both national epidemiological data and reports on the violations of the restrictions. The dynamics of time-series about tweets counts, emotions expressed, and themes discussed were evaluated using Italian posts regarding COVID-19 from 25 February to 4 May 2020. Considering 4,988,255 tweets, results highlight that emotions changed significantly over time with anger, disgust, fear, and sadness showing a downward trend, while joy, trust, anticipation, and surprise increased. The trend of emotions correlated significantly with national variation in confirmed cases and reports on the violations of restrictive measures. The study highlights the potential of using SM to assess emotional and behavioural reactions, delineating their possible contribution to the establishment of a decision management system during emergencies.

Suggested Citation

  • Valentina Lorenzoni & Gianni Andreozzi & Andrea Bazzani & Virginia Casigliani & Salvatore Pirri & Lara Tavoschi & Giuseppe Turchetti, 2022. "How Italy Tweeted about COVID-19: Detecting Reactions to the Pandemic from Social Media," IJERPH, MDPI, vol. 19(13), pages 1-14, June.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:13:p:7785-:d:847331
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    References listed on IDEAS

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