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A Content and Sentiment Analysis of Greek Tweets during the Pandemic

Author

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  • Dimitrios Kydros

    (Department of Economic Sciences, School of Economics and Administration, Campus of Serres, International Hellenic University, 62124 Serres, Greece)

  • Maria Argyropoulou

    (University Center of International Programmes of Studies, International Hellenic University, 57001 Nea Moudania, Greece)

  • Vasiliki Vrana

    (Department of Business Administration, School of Economics and Administration, Campus of Serres, International Hellenic University, 62124 Serres, Greece)

Abstract

During the time of the coronavirus, strict prevention policies, social distancing, and limited contact with others were enforced in Greece. As a result, Twitter and other social media became an important place of interaction, and conversation became online. The aim of this study is to examine Twitter discussions around COVID-19 in Greece. Twitter was chosen because of the critical role it played during the global health crisis. Tweets were recorded over four time periods. NodeXL Pro was used to identify word pairs, create semantic networks, and analyze them. A lexicon-based sentiment analysis was also performed. The main topics of conversation were extracted. “New cases” are heavily discussed throughout, showing fear of transmission of the virus in the community. Mood analysis showed fluctuations in mood over time. Positive emotions weakened and negative emotions increased. Fear is the dominant sentiment. Timely knowledge of people’s sentiment can be valuable for government agencies to develop efficient strategies to better manage the situation and use efficient communication guidelines in Twitter to disseminate accurate, reliable information and control panic.

Suggested Citation

  • Dimitrios Kydros & Maria Argyropoulou & Vasiliki Vrana, 2021. "A Content and Sentiment Analysis of Greek Tweets during the Pandemic," Sustainability, MDPI, vol. 13(11), pages 1-21, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:6150-:d:565450
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    References listed on IDEAS

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    Cited by:

    1. Jingjing Gao & Gabriela A. Gallegos & Joe F. West, 2023. "Public Health Policy, Political Ideology, and Public Emotion Related to COVID-19 in the U.S," IJERPH, MDPI, vol. 20(21), pages 1-14, October.
    2. Ortal Slobodin & Ilia Plochotnikov & Idan-Chaim Cohen & Aviad Elyashar & Odeya Cohen & Rami Puzis, 2022. "Global and Local Trends Affecting the Experience of US and UK Healthcare Professionals during COVID-19: Twitter Text Analysis," IJERPH, MDPI, vol. 19(11), pages 1-17, June.
    3. Vasiliki Vrana & Dimitrios Kydros & Iordanis Kotzaivazoglou & Ioanna Pechlivanaki, 2023. "EU Citizens’ Twitter Discussions of the 2022–23 Energy Crisis: A Content and Sentiment Analysis on the Verge of a Daunting Winter," Sustainability, MDPI, vol. 15(2), pages 1-22, January.
    4. Fernando Arias & Ariel Guerra-Adames & Maytee Zambrano & Efraín Quintero-Guerra & Nathalia Tejedor-Flores, 2022. "Analyzing Spanish-Language Public Sentiment in the Context of a Pandemic and Social Unrest: The Panama Case," IJERPH, MDPI, vol. 19(16), pages 1-19, August.
    5. Dorit Zimand-Sheiner & Shalom Levy & Eyal Eckhaus, 2021. "Exploring Negative Spillover Effects on Stakeholders: A Case Study on Social Media Talk about Crisis in the Food Industry Using Data Mining," Sustainability, MDPI, vol. 13(19), pages 1-16, September.
    6. Hyo-Sun Jung & Hye-Hyun Yoon & Min-Kyung Song, 2021. "A Study on Dining-Out Trends Using Big Data: Focusing on Changes since COVID-19," Sustainability, MDPI, vol. 13(20), pages 1-23, October.

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