Emotions during the Pandemic’s First Wave: The Case of Greek Tweets

Yannis Skarpelos; Sophia Messini; Elina Roinioti; Kostas Karpouzis; Stavros Kaperonis; Michaela-Gavriela Marazoti

doi:10.20944/preprints202312.0777.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 9 December 2023 / Approved: 12 December 2023 / Online: 12 December 2023 (05:49:21 CET)

While most published research on COVID-19 focused in a few countries and especially during the second wave of the pandemic and the vaccination period, we turn to the first wave (march-May 2020) to examine sentiment and emotions expressed by Twitter users in Greece. We use computational methods combining opinion mining and the application of a modified emotion lexicon with Social Network Analysis to explore the subtleties behind an overarching negative sentiment. Our analysis has shown that popular sentiment isn’t stable nor monolithic, since underlying emotions may be a better predictor of attitudes during a crisis.

COVID-19; pandemic; Social Network Analysis SNA; emotion; sentiment; Greece

Social Sciences, Media studies

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Emotions during the Pandemic’s First Wave: The Case of Greek Tweets

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