Abstract
AbstractThere is an ongoing shift in computational social science towards validating our methodologies and improving the reliability of our findings. This is tremendously exciting in that we are moving beyond exploration, towards a fuller integration with theory in social science. We stand poised to advance also new, better theory. But, as we look towards this future we must also work to update our conventions around training, hiring, and funding to suit our maturing field.
Publisher
Springer Science and Business Media LLC
Reference22 articles.
1. Garcia D, Pellert M, Lasser J, Metzler H (2021) Social media emotion macroscopes reflect emotional experiences in society at large. Technical Report. https://doi.org/10.48550/arXiv.2107.13236. http://arxiv.org/abs/2107.13236. Accessed 2022-06-14
2. Pellert M, Metzler H, Matzenberger M, Garcia D (2022) Validating daily social media macroscopes of emotions. Sci Rep 12(1):11236. https://doi.org/10.1038/s41598-022-14579-y. Accessed 2022-12-31
3. Aladangady A, Aron-Dine S, Dunn W, Feiveson L, Lengermann P, Sahm C (2019) From transactions data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending. Big data for 21st century economic statistics. Accessed 2019-09-18
4. Diamond MB, Keshaviah A, Bento AI, Conroy-Ben O, Driver EM, Ensor KB, Halden RU, Hopkins LP, Kuhn KG, Moe CL, Rouchka EC, Smith T, Stevenson BS, Susswein Z, Vogel JR, Wolfe MK, Stadler LB, Scarpino SV (2022) Wastewater surveillance of pathogens can inform public health responses. Nat Med 28(10):1992–1995. https://doi.org/10.1038/s41591-022-01940-x. Accessed 2022-12-31
5. Lazer D, Kennedy R, King G, Vespignani A (2014) The parable of Google Flu: traps in big data analysis. Science 343(6176):1203–1205. https://doi.org/10.1126/science.1248506. Accessed 2019-08-28