Abstract
AbstractDue to the COVID-19 pandemic, many immigrants found themselves in extremely unstable situations. The recent contributions show that employment decline in the first several months of the lockdown was higher for migrant workers than for natives. At the same time, migrants were less likely to find new employment in the recovery months. Such circumstances may result in an increased level of anxiety about one’s economic situation. On the other hand, an unfavorable environment may induce resources that could help to overcome it. The paper aims to reveal migrants’ concerns together with ambitions connected with the economic activity during the pandemic. The study is based on 30 individual in-depth interviews with Ukrainian migrant workers from Poland. The research approach was based on Natural Language Processing techniques. We employed sentiment analysis algorithms, and on a basis of selected lexicons, we extracted fears and hopes that appear in migrants’ narrations. We also identified major topics and associated them with specific sentiments. Pandemic induced several matters connected with e.g., the stability of employment, discrimination, relationships, family, and financial situation. These affairs are usually connected on the basis of a cause-and-effect relationship. In addition, while several topics were common for both male and female participants, some of them were specific for each group.
Funder
Uniwersytet im. Adama Mickiewicza w Poznaniu
Publisher
Springer Science and Business Media LLC
Subject
Anthropology,Cultural Studies,Demography
Reference65 articles.
1. Alsharawy, A., Spoon, R., Smith, A., & Ball, S. (2021). Gender differences in fear and risk perception during the COVID-19 pandemic. Frontiers in Psychology, 12, 689467. https://doi.org/10.3389/fpsyg.2021.689467
2. Asmussen, C. B., & Møller, C. (2019). Smart literature review: A practical topic modelling approach to exploratory literature review. Journal of Big Data, 6, 93. https://doi.org/10.1186/s40537-019-0255-7
3. Benoit, K., Muhr, D., & Watanabe, K. (2021). Stopwords: Multilingual stopword lists. R package version 2.3. https://CRAN.R-project.org/package=stopwords
4. Bernstein, H., González, J., Gonzalez, D., & Jagannath, J. (2020). Immigrant-serving organizations’ perspectives on the COVID-19 crisis. Washington, DC: Urban Institute. https://www.urban.org/sites/default/files/publication/102775/immigrant-serving-organizations-on-the-covid-19-crisis_0_0.pdf
5. Bhandari, D., Kotera, Y., Ozaki, A., Abeysinghe, S., Kosaka, M., & Tanimoto, T. (2021). COVID-19: Challenges faced by Nepalese migrants living in Japan. BMC Public Health, 21, 752. https://doi.org/10.1186/s12889-021-10796-8
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献