3 Matching Annotations
  1. Jan 2022
  2. psyarxiv.com psyarxiv.com
    Modeling Considerations for Quantitative Social Science Research Using Social Media Data
    1
    1. lucyparfitt16 25 Jan 2022

      Budak, C., Soroka, S., Singh, L., Bailey, M., Bode, L., Chawla, N., Davis-Kean, P., Choudhury, M. D., Veaux, R. D., Hahn, U., Jensen, B., Ladd, J., Mneimneh, Z., Pasek, J., Raghunathan, T., Ryan, R., Smith, N. A., Stohr, K., & Traugott, M. (2021). Modeling Considerations for Quantitative Social Science Research Using Social Media Data. PsyArXiv. https://doi.org/10.31234/osf.io/3e2ux

      is:preprint lang:en social media modeling data social science computer science behavioral science search engine smart device digital trace
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    psyarxiv.com/3e2ux/
  3. May 2021
  4. www.nature.com www.nature.com
    Tracking and promoting the usage of a COVID-19 contact tracing app
    1
    1. jasminehollingworth 07 May 2021

      Munzert, S., Selb, P., Gohdes, A., Stoetzer, L. F., & Lowe, W. (2021). Tracking and promoting the usage of a COVID-19 contact tracing app. Nature Human Behaviour, 5(2), 247–255. https://doi.org/10.1038/s41562-020-01044-x

      lang:en is:article COVID-19 track trace track promote app contact tracing digital global pandemic mobile Germany illness risk exposure effectiveness
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    nature.com/articles/s41562-020-01044-x
  5. Feb 2021
  6. twitter.com twitter.com
    Centre for Cognition, Computation, & Modelling on Twitter
    1
    1. alexandra.p 20 Feb 2021

      Centre for Cognition, Computation, & Modelling on Twitter. (n.d.). Twitter. Retrieved 20 February 2021, from https://twitter.com/BBK_CCCM/status/1359132159953559557

      is:tweet lang:en pandemic modeling public trace digital seminar response cognitive computation
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    twitter.com/BBK_CCCM/status/1359132159953559557