Predicting voting behavior using digital trace data

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DOI:	https://doi.org/10.1177/0894439319882896
URL:	https://madoc.bib.uni-mannheim.de/52618
Additional URL:	https://journals.sagepub.com/doi/full/10.1177/0894...
URN:	urn:nbn:de:bsz:180-madoc-526188
Document Type:	Article
Year of publication:	2021
The title of a journal, publication series:	Social Science Computer Review : SSCOR
Volume:	39
Issue number:	5
Page range:	862-883
Place of publication:	Thousand Oaks, CA ; London
Publishing house:	Sage
ISSN:	0894-4393 , 1552-8286
Publication language:	English
Institution:	School of Social Sciences > Statistik u. Sozialwiss. Methodenlehre (Juniorprofessur) (Keusch 2016-2021) School of Social Sciences > Statistik u. Sozialwissenschaftliche Methodenlehre (Kreuter 2014-2020)
Pre-existing license:	Creative Commons Attribution, Non-Commercial 4.0 International (CC BY-NC 4.0)
Subject:	300 Social sciences, sociology, anthropology 310 Statistics