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Angaben zum Inhalt: „This study looks at population response to government containment strategies during initial stages of the COVID-19 pandemic in four high-trust Northern European countries–Denmark, Germany, the Netherlands, and Sweden–with special emphasis on expressions of governmental trust. Sentiment analysis and topic modeling analysis were performed using Twitter data from three phases during the initial European lockdown, and results were compared over time and between countries. Findings show that, in line with existing theory, assertive crisis responses and proactive communication were generally well-received, whereas tentative crisis responses or indications by the authorities that the crisis was manageable were generally met with suspicion. In addition, while government support was high in all countries during the height of the crisis, messages critical of the government as well as conspiracy theories were nevertheless widely circulated. Importantly, countries with the least assertive strategies, rather than clear negative responses, saw heightened polarization of sentiment in the population. Furthermore, in the case of Sweden, a laissez-faire strategy was generally accepted by the population, despite strong criticism from other countries, until mortality rates started to rise. Possible explanations for these findings are discussed with an emphasis of prior trust as a potential explanatory factor. Future research should seek to replicate these findings in other countries with different levels of prior governmental trust or with a different severity of the COVID-19 outbreak than the countries in this study as well as triangulate the findings of this study using alternative methods.“
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Angaben zum Inhalt: „More than a boost in political trust: Dutch public opinion during the first wave of the COVID-19 pandemic During the first wave of the COVID-19 pandemic, Dutch public opinion was largely characterized by a more positive outlook on society and politics. We give explanations for this rather positive spirit based on literature on earlier crises and we outline the changes in public opinion between January and April 2020 (using the Citizens' Outlooks Barometer). We will complement this quantitative analysis by analysing several open-ended questions to enhance our knowledge on the individual’s perceptions, attitudes and judgments about politics and society at the beginning of the pandemic. Our qualitative data analysis shows that the boost in political trust is driven by a specific appreciation of proceedings during the crisis and not by future expectations. But moreover, while this political ‘rally-round-the-flag’ phenomenon became centre stage of the crisis literature, we actually found that this is less salient than the societal outlook during a crisis: many citizens also express a reappraisal of society.“
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Angaben zum Inhalt: „A polarization pandemic? Political polarization has been identified as a key societal risk of the ongoing COVID-19 pandemic. While various actors have expressed concern about extreme single-issue opinions, mass polarization may be characterized better as increasing association between various opinions. This could lead to deepening cleavages as new issues arise. We thus describe opinions surrounding the COVID-19 pandemic relative to pre-existing mass opinion structures. We review the science on polarization, ultimately focusing on the Netherlands specifically. Using survey data of Dutch social media users (N = 216), we find that opinion clustering on general political issues is loose, and that these clusters do not uniformly predict attitudes towards measures to combat consequences of COVID-19. Nevertheless, the found clusters are better predictors than ideological identification. These results stress the importance of conceptualizing polarization as multi-attitudinal clustering rather than as unidimensional opinion difference.“
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Angaben zum Inhalt: „Public sentiment (the opinion, attitude or feeling that the public expresses) is a factor of interest for government, as it directly influences the implementation of policies. Given the unprecedented nature of the COVID-19 crisis, having an up-to-date representation of public sentiment on governmental measures and announcements is crucial. In this paper, we analyse Dutch public sentiment on governmental COVID-19 measures from text data collected across three online media sources (Twitter, Reddit and Nu.nl) from February to September 2020. We apply sentiment analysis methods to analyse polarity over time, as well as to identify stance towards two specific pandemic policies regarding social distancing and wearing face masks. The presented preliminary results provide valuable insights into the narratives shown in vast social media text data, which help understand the influence of COVID-19 measures on the general public.“
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