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This dataset documentation is guided by the work "Datasheets for datasets" by Gebru et al. (2021). The dataset itself was created by members of ‘Digitaler Hass’, an interdisciplinary project of Hochschule für Technik und Wirtschaft (HTW) Berlin and Alice Salomon University (ASH) Berlin, that studies antisemitism, racism and conspiracy theories in online text corpora. It was labeled to foster research on automated detection of conspiracy theories and antisemitism, two phenomena that are structurally strongly tied, in German-language discourses. The records are postings sent between March 2020 and December 2021 through public Telegram channels together with a manual annotation for antisemitic and conspiracy theory related content and stance.
The datasheet is open access. The dataset can be made available to other researchers who should contact the dataset creators describing their research agenda.
datasheet; labeled dataset; annotated dataset; antisemitism; conspiracy theory; dataset documentation
datasheet; labeled dataset; annotated dataset; antisemitism; conspiracy theory; dataset documentation
| 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 |
| views | 36 | |
| downloads | 35 |

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