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An analysis of COVID-19 economic measures and attitudes: evidence from social media mining
Journal of Big Data ( IF 8.6 ) Pub Date : 2021-03-01 , DOI: 10.1186/s40537-021-00431-z
Dorota Domalewska

This paper explores the public perception of economic measures implemented as a reaction to the COVID-19 pandemic in Poland in March–June 2020. A mixed-method approach was used to analyse big data coming from tweets and Facebook posts related to the mitigation measures to provide evidence for longitudinal trends, correlations, theme classification and perception. The online discussion oscillated around political and economic issues. The implementation of the anti-crisis measures triggered a barrage of criticism pointing out the shortcomings and ineffectiveness of the solutions. The revised relief legislation was accompanied by a wide-reaching informative campaign about the relief package, which decreased negative sentiment. The analysis also showed that with regard to online discussion about risk mitigation, social media users are more concerned about short-term economic and social effects rather than long-term effects of the pandemic. The findings have significant implications for the understanding of public sentiment related to the COVID-19 pandemic, economic attitudes and relief support implemented to fight the adverse effects of the pandemic.



中文翻译:

COVID-19经济措施和态度分析:来自社交媒体挖掘的证据

本文探讨了公众对作为对2020年3月至2020年波兰COVID-19大流行的反应而采取的经济措施的看法。采用了一种混合方法来分析来自推文和Facebook帖子中与缓解措施有关的大数据。提供纵向趋势,相关性,主题分类和感知的证据。在线讨论围绕政治和经济问题进行。反危机措施的实施引发了批评声势,指出了解决方案的缺陷和无效性。修订后的救济立法伴随着有关救济方案的广泛宣传活动,减少了负面情绪。该分析还显示,关于降低风险的在线讨论,社交媒体用户更关心的是短期经济和社会影响,而不是大流行的长期影响。这些发现对于理解与COVID-19大流行有关的公众情绪,为对抗大流行的不利影响而采取的经济态度和救济支持具有重要意义。

更新日期:2021-03-02
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