Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/231349
Authors: 
Rieger, Jonas
von Nordheim, Gerret
Year of Publication: 
2021
Series/Report no.: 
DoCMA Working Paper No. 4
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.
Subjects: 
Covid-19
SARS-CoV-2
scraper
data
text
developer
dev
Twitter
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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