Predicting political attitudes from web tracking data: a machine learning approach

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DOI:	https://doi.org/10.1080/19331681.2024.2316679
URL:	https://www.tandfonline.com/doi/full/10.1080/19331...
URN:	urn:nbn:de:bsz:180-madoc-679172
Document Type:	Article
Year of publication:	2024
The title of a journal, publication series:	Journal of Information Technology & Politics : JITP
Volume:	21
Issue number:	4
Page range:	564-577
Place of publication:	Abingdon
Publishing house:	Routledge, Taylor & Francis
ISSN:	1933-1681 , 1933-169X
Publication language:	English
Institution:	School of Social Sciences > Computational Social Science (Stier 2023-)
Pre-existing license:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject:	340 Law 300 Social sciences, sociology, anthropology

	Dieser Eintrag ist Teil der Universitätsbibliographie.
	Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt.

BASE: Kirkizh, Nora ; Ulloa, Roberto ; Stier, Sebastian ; Pfeffer, Jürgen

Google Scholar: Kirkizh, Nora ; Ulloa, Roberto ; Stier, Sebastian ; Pfeffer, Jürgen

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