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Regional sentiments in Covid tweets in the Netherlands before and during peak infections

Author

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  • Tykhonov, Vyacheslav
  • van Leeuwen, Bas

Abstract

We use numbers of Covid-related tweets over Dutch regions in month 1-9 of 2020. Peaks in tweets precede the peaks of infections by about one month (the exception is June when the corona emergency law (“Spoedwet”) was introduced, which drew a lot of online comments. The reason for this time lag is that more positive sentiments, which resulted in fewer tweets, occurred during peak infections. Just before, more negative sentiments dominated causing more tweets. This positivity in tweets during peak infections has, no doubt, various reasons. Yet, one reason may be in how people value society: the higher the number of infections, the more positive the sentiments related to crucial occupations became, which resulted in fewer tweets. This relation does not hold for non-crucial occupations.

Suggested Citation

  • Tykhonov, Vyacheslav & van Leeuwen, Bas, 2021. "Regional sentiments in Covid tweets in the Netherlands before and during peak infections," MPRA Paper 110879, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:110879
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    References listed on IDEAS

    as
    1. Thomas T. Hills & Eugenio Proto & Daniel Sgroi & Chanuki Illushka Seresinhe, 2019. "Historical analysis of national subjective wellbeing using millions of digitized books," Nature Human Behaviour, Nature, vol. 3(12), pages 1271-1275, December.
    2. Luke Sloan & Jeffrey Morgan & William Housley & Matthew Williams & Adam Edwards & Pete Burnap & Omer Rana, 2013. "Knowing the Tweeters: Deriving Sociologically Relevant Demographics from Twitter," Sociological Research Online, , vol. 18(3), pages 74-84, August.
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    More about this item

    Keywords

    Covid; sentiment analysis; Netherlands;
    All these keywords.

    JEL classification:

    • A1 - General Economics and Teaching - - General Economics
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • J4 - Labor and Demographic Economics - - Particular Labor Markets

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