Migrants vs. stayers in the pandemic – A sentiment analysis of Twitter content

•We identified a particularly negative sentiment in the tweets related to protective masks (#maseczki) and mobility restrictions (#lockdown).•Particularly positive sentiment was identified in tweets related to #staysafe and #workfromhome.•In terms of the migrants vs. stayers analysis, the general se...

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Veröffentlicht in:Telematics and Informatics Reports 2023-06, Vol.10, p.100059, Article 100059
Hauptverfasser: Czeranowska, Olga, Chlasta, Karol, Miłkowski, Piotr, Grabowska, Izabela, Kocoń, Jan, Hwaszcz, Krzysztof, Wieczorek, Jan, Jastrzębowska, Agata
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Sprache:eng
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Zusammenfassung:•We identified a particularly negative sentiment in the tweets related to protective masks (#maseczki) and mobility restrictions (#lockdown).•Particularly positive sentiment was identified in tweets related to #staysafe and #workfromhome.•In terms of the migrants vs. stayers analysis, the general sentiments were similar, with migrants showing more of both positive and negative sentiments and stayers more of neutral ones.•Moreover, migrants tend to become less positive over time, whereas stayers seem to become more negative.•Structure of tweet sentiment coming from stayers in Poland is less negative than Polish migrants in most countries, with the exception of Belgium. In this paper, we propose a sentiment analysis of Twitter data focused on the attitudes and sentiments of Polish migrants and stayers during the pandemic. We collected 9 million tweets and retweets between January and August 2021, and analysed them using MultiEmo, the multilingual, multilevel, multi-domain sentiment analysis corpus. We discovered that the sentiment of tweets differs between migrants and stayers over time, and it relates to the country of migration. The general sentiment is similar for migrants and stayers, but a more detailed analysis reveals that hashtags related to staying safe and staying at home, as well as vaccinations are more polarised for migrants than for stayers, and they reflect the general development trend of the pandemic in Europe. In addition to comparing migrants with stayers, we also compared migrants staying in different countries. amongst the countries of migration, for which we collected at least 3000 tweets, the most positive sentiment of Polish migrants’ tweets was observed in Belgium, with the most negative sentiment coming from Estonia. We also observed that the sentiment of tweets written in Polish by stayers in Poland is less negative when compared to Polish migrants in most of the countries with the highest number of tweets.
ISSN:2772-5030
2772-5030
DOI:10.1016/j.teler.2023.100059