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The Corona Fictions Database (cf. Hobisch/Völkl/Obermayr 2021-) is an essential part of the research project Corona Fictions. On Viral Narratives in Times of Pandemics funded by the Austrian Science Fund FWF (P 34571-G). The team members are Elisabeth Hobisch, Yvonne Völkl (project leader), Julia Obermayr, Tommaso Meozzi, Albert Göschl and Daniel Milkovits. In order to understand the composition, compilation and functioning of the Corona Fictions Database, in the following article we describe the corpus entering the bibliographical database, the process of data collection and structuring – including the specific challenges encountered in this process – as well as the functionality of the database.
covid-19, cultural production, database, Corona Fictions, multimedia corpus
covid-19, cultural production, database, Corona Fictions, multimedia corpus
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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