The POLUSA Dataset: 0.9M Political News Articles Balanced by Time and Outlet Popularity

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dc.contributor.authorGebhard, Lukas
dc.contributor.authorHamborg, Felix
dc.date.accessioned2025-09-05T11:25:38Z
dc.date.available2025-09-05T11:25:38Z
dc.date.created2020-05-07T16:24:36Z
dc.date.issued2020
dc.description.abstractThe POLUSA dataset, as presented at the ACM/IEEE Joint Conference on Digital Libraries in August 2020 (JCDL '20)
dc.description.versionpublisheddeu
dc.identifier.doi10.5281/zenodo.3813663
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/74481
dc.language.isoeng
dc.subjectText mining
dc.subjectNews articles
dc.subjectComputational social sciences
dc.subjectCommonCrawl
dc.subjectPolitics
dc.subjectNatural language processing
dc.subject.ddc004
dc.titleThe POLUSA Dataset: 0.9M Political News Articles Balanced by Time and Outlet Popularityeng
dspace.entity.typeDataset
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kops.citation.iso690GEBHARD,  Lukas,  Felix HAMBORG, 2020. The POLUSA Dataset: 0.9M Political News Articles Balanced by Time and Outlet Popularitydeu
kops.citation.iso690GEBHARD,  Lukas,  Felix HAMBORG, 2020. The POLUSA Dataset: 0.9M Political News Articles Balanced by Time and Outlet Popularityeng
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