%0 Journal Article %1 brandenstein2024follow %A Brandenstein, Nils %A Montag, Christian %A Sindermann, Cornelia Martina %D 2024 %I Sage Publications %J Social science computer review %K oa sent ubs_10021 ubs_20018 ubs_30221 unibibliografie %R 10.1177/08944393241279418 %T To Follow or Not to Follow : Estimating Political Opinion From Twitter Data Using a Network-Based Machine Learning Approach

@article{brandenstein2024follow, added-at = {2025-06-11T11:33:07.000+0200}, author = {Brandenstein, Nils and Montag, Christian and Sindermann, Cornelia Martina}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2e06f05c3d33304a1fc564bf327d0725e/unibiblio}, doi = {10.1177/08944393241279418}, interhash = {e41d870bffb8950f194ca9e6df69db82}, intrahash = {e06f05c3d33304a1fc564bf327d0725e}, issn = {{1552-8286} and {0894-4393}}, journal = {Social science computer review}, keywords = {oa sent ubs_10021 ubs_20018 ubs_30221 unibibliografie}, language = {eng}, publisher = {Sage Publications}, pubstate = {prepublished}, timestamp = {2025-06-11T11:33:07.000+0200}, title = {To Follow or Not to Follow : Estimating Political Opinion From Twitter Data Using a Network-Based Machine Learning Approach}, year = 2024 }