Additional data and information useful for research purposes.
Read the full publication here.
@article{ireland2015future,
title={Future-oriented tweets predict lower county-level HIV prevalence in the United States.},
author={Ireland, Molly E and Schwartz, H Andrew and Chen, Qijia and Ungar, Lyle H and Albarrac{\'\i}n, Dolores},
journal={Health Psychology},
volume={34},
number={S},
pages={1252},
year={2015},
publisher={American Psychological Association}
}
Read the full publication here.
@inproceedings{schwartz2015extracting,
title={Extracting human temporal orientation from Facebook language},
author={Schwartz, H Andrew and Park, Gregory and Sap, Maarten and Weingarten, Evan and Eichstaedt, Johannes and Kern, Margaret and Stillwell, David and Kosinski, Michal and Berger, Jonah and Seligman, Martin and others},
booktitle={Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
pages={409--419},
year={2015}
}
Read the full publication here.
@inproceedings{preoctiuc2016modelling,
title={Modelling valence and arousal in facebook posts},
author={Preo{\c{t}}iuc-Pietro, Daniel and Schwartz, H Andrew and Park, Gregory and Eichstaedt, Johannes and Kern, Margaret and Ungar, Lyle and Shulman, Elisabeth},
booktitle={Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis},
pages={9--15},
year={2016}
}
From "Can Twitter be used to predict county excessive alcohol consumption rates?".
Data available here. Read the full publication here.
@article{curtis2018can,
title={Can Twitter be used to predict county excessive alcohol consumption rates?},
author={Curtis, Brenda and Giorgi, Salvatore and Buffone, Anneke EK and Ungar, Lyle H and Ashford, Robert D and Hemmons, Jessie and Summers, Dan and Hamilton, Casey and Schwartz, H Andrew},
journal={PloS one},
volume={13},
number={4},
pages={e0194290},
year={2018},
publisher={Public Library of Science}
}
From "Psychological language on Twitter predicts county-level heart disease mortality".
Data available here. Read the full publication here.
@article{eichstaedt2015psychological,
title={Psychological language on Twitter predicts county-level heart disease mortality},
author={Eichstaedt, Johannes C and Schwartz, Hansen Andrew and Kern, Margaret L and Park, Gregory and Labarthe, Darwin R and Merchant, Raina M and Jha, Sneha and Agrawal, Megha and Dziurzynski, Lukasz A and Sap, Maarten and others},
journal={Psychological science},
volume={26},
number={2},
pages={159--169},
year={2015},
publisher={Sage Publications Sage CA: Los Angeles, CA}
}
Licensed under a GNU General Public License v3 (GPLv3).
Developed by the World Well-Being Project based out of the University of Pennsylvania and Stony Brook University.