Understanding political news media consumption with digital trace data and natural language processing

Bach, Ruben L.; Kern, Christoph; Bonnay, Denis; Kalaora, Luc

[journal article]

dc.contributor.author	Bach, Ruben L.	de
dc.contributor.author	Kern, Christoph	de
dc.contributor.author	Bonnay, Denis	de
dc.contributor.author	Kalaora, Luc	de
dc.date.accessioned	2025-04-28T13:22:46Z
dc.date.available	2025-04-28T13:22:46Z
dc.date.issued	2022	de
dc.identifier.issn	1467-985X	de
dc.identifier.uri	https://www.ssoar.info/ssoar/handle/document/101905
dc.description.abstract	Augmenting survey data with digital traces is a promising direction for combining the advantages of active and passive data collection. However, extracting interpretable measurements from digital traces for social science research is challenging. In this study, we demonstrate how to obtain measurements of news media consumption from survey respondents' web browsing data using Bidirectional Encoder Representations from Transformers, a powerful natural language processing algorithm that estimates contextual word embeddings from text data. Our approach is particularly relevant for political scientists and communication researchers studying exposure to online news content but can easily be adapted to projects in other disciplines working with similar data sets.	de
dc.language	en	de
dc.subject.ddc	Sozialwissenschaften, Soziologie	de
dc.subject.ddc	Social sciences, sociology, anthropology	en
dc.subject.other	digital trace data; news consumption; NLP; political preferences; web tracking	de
dc.title	Understanding political news media consumption with digital trace data and natural language processing	de
dc.description.review	begutachtet (peer reviewed)	de
dc.description.review	peer reviewed	en
dc.source.journal	Journal of the Royal Statistical Society, Series A (Statistics in Society)
dc.source.volume	185	de
dc.publisher.country	GBR	de
dc.source.issue	Suppl. 2	de
dc.subject.classoz	Erhebungstechniken und Analysetechniken der Sozialwissenschaften	de
dc.subject.classoz	Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods	en
dc.subject.thesoz	Datengewinnung	de
dc.subject.thesoz	data capture	en
dc.subject.thesoz	Medienkonsum	de
dc.subject.thesoz	media consumption	en
dc.subject.thesoz	Nachrichten	de
dc.subject.thesoz	news	en
dc.subject.thesoz	Online-Medien	de
dc.subject.thesoz	online media	en
dc.subject.thesoz	politisches Interesse	de
dc.subject.thesoz	political interest	en
dc.subject.thesoz	Wahlverhalten	de
dc.subject.thesoz	voting behavior	en
dc.rights.licence	Creative Commons - Namensnennung 4.0	de
dc.rights.licence	Creative Commons - Attribution 4.0	en
internal.status	formal und inhaltlich fertig erschlossen	de
internal.identifier.thesoz	10040547
internal.identifier.thesoz	10069355
internal.identifier.thesoz	10052870
internal.identifier.thesoz	10064820
internal.identifier.thesoz	10047721
internal.identifier.thesoz	10061173
dc.type.stock	article	de
dc.type.document	Zeitschriftenartikel	de
dc.type.document	journal article	en
dc.source.pageinfo	S246-S269	de
internal.identifier.classoz	10105
internal.identifier.journal	2176
internal.identifier.document	32
internal.identifier.ddc	300
dc.identifier.doi	https://doi.org/10.1111/rssa.12846	de
dc.description.pubstatus	Veröffentlichungsversion	de
dc.description.pubstatus	Published Version	en
internal.identifier.licence	16
internal.identifier.pubstatus	1
internal.identifier.review	1
internal.pdf.valid	false
internal.pdf.wellformed	false
internal.pdf.encrypted	false
ssoar.urn.registration	false	de

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Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

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