Supplemental material for “Datafication Markers: Curation and User Network Effects on Mobilization and Polarization During Elections”

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dc.contributor.authorGagrčin, Emilija dc.contributor.author Ohme, Jakob dc.contributor.author Buttgereit, Lina dc.contributor.author Grünewald, Felix
dc.date.accessioned2025-02-27T13:09:16Z
dc.date.available2025-02-27T13:09:16Z
dc.date.collected2021-08-26/2021-09-13
dc.date.collected2021-09-27/2021-10-01
dc.date.issued2023
dc.description.abstractSupplemental material Table A1. Predicting campaign participation (cross-sectional) Table A2. Predicting campaign participation (auto-regressive) Table A3. Predicting vote choice certainty (cross-sectional) Table A4. Predicting vote choice certainty (auto-regressive) Table A5. Predicting turnout (cross-sectional) Table A6. Predicting turnout (auto-regressive) Table A7. Predicting attitude reinforcement (change variable) Table A8. Predicting affective polarization (cross-sectional) Table A8. Predicting affective polarization (cross-sectional)en
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dc.identifier.urihttps://www.weizenbaum-library.de/handle/id/839
dc.identifier.urlhttps://www.cogitatiopress.com/mediaandcommunication/article/downloadSuppFile/6641/3232
dc.relation.issupplementtohttps://www.weizenbaum-library.de/handle/id/648
dc.rightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject2021 German federal elections
dc.subjectFacebook
dc.subjectTwitter
dc.subjectInstagram
dc.subjectYouTube
dc.titleSupplemental material for “Datafication Markers: Curation and User Network Effects on Mobilization and Polarization During Elections”
dcterms.spatialGermanyen
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