Additional Data Sets

Additional data and information useful for research purposes.

Data

County HIV Prevalence Topic Tagcloud Data

Read the full publication here.

Citation

@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}
}

Temporal Orientation Result Sets

Read the full publication here.

Citation

@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}
}

Valence and Arousal Facebook Posts

Read the full publication here.

Citation

@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}
}

Data on OSF

County Excess Drinking Data

From "Can Twitter be used to predict county excessive alcohol consumption rates?".

Data available here. Read the full publication here.

Citation

@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}
}

County Heart Health Data

From "Psychological language on Twitter predicts county-level heart disease mortality".

Data available here. Read the full publication here.

Citation

@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}
}

License

Licensed under a GNU General Public License v3 (GPLv3).

Background

Developed by the World Well-Being Project based out of the University of Pennsylvania and Stony Brook University.