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corona100d: German-language Twitter dataset of the first 100 days after Chancellor Merkel addressed the coronavirus outbreak on TV

Author

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  • Rieger, Jonas
  • von Nordheim, Gerret

Abstract

In this paper, we present a German-language Twitter dataset related to the Covid-19 pandemic. We show how the R (R Core Team 2020) package rtweet (Kearney 2019) and a combination of keywords can be used to create the dataset and provide a way to rehydrate most of the tweets. The dataset consists of 3 699 623 tweets from 2020/03/19 to 2020/06/26 and was constructed from hourly API requests of 50 000 tweets. In a brief analysis, we give first insights into the dataset and provide approaches that can be refined in further research.

Suggested Citation

  • Rieger, Jonas & von Nordheim, Gerret, 2021. "corona100d: German-language Twitter dataset of the first 100 days after Chancellor Merkel addressed the coronavirus outbreak on TV," DoCMA Working Papers 4, TU Dortmund University, Dortmund Center for Data-based Media Analysis (DoCMA).
    • Handle: RePEc:zbw:docmaw:4
    DOI: 10.17877/DE290R-21911
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    References listed on IDEAS

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    1. Grün, Bettina & Hornik, Kurt, 2011. "topicmodels: An R Package for Fitting Topic Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i13).
    2. Feinerer, Ingo & Hornik, Kurt & Meyer, David, 2008. "Text Mining Infrastructure in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i05).
    3. Grolemund, Garrett & Wickham, Hadley, 2011. "Dates and Times Made Easy with lubridate," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i03).
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