Weather impacts expressed sentiment
August 31, 2017 ยท Declared Dead ยท ๐ PLoS ONE
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Patrick Baylis, Nick Obradovich, Yury Kryvasheyeu, Haohui Chen, Lorenzo Coviello, Esteban Moro, Manuel Cebrian, James H. Fowler
arXiv ID
1709.00071
Category
stat.AP
Cross-listed
cs.CL
Citations
149
Venue
PLoS ONE
Last Checked
2 months ago
Abstract
We conduct the largest ever investigation into the relationship between meteorological conditions and the sentiment of human expressions. To do this, we employ over three and a half billion social media posts from tens of millions of individuals from both Facebook and Twitter between 2009 and 2016. We find that cold temperatures, hot temperatures, precipitation, narrower daily temperature ranges, humidity, and cloud cover are all associated with worsened expressions of sentiment, even when excluding weather-related posts. We compare the magnitude of our estimates with the effect sizes associated with notable historical events occurring within our data.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ stat.AP
R.I.P.
๐ป
Ghosted
R.I.P.
๐ป
Ghosted
Sequence-to-point learning with neural networks for nonintrusive load monitoring
R.I.P.
๐ป
Ghosted
Predictive Business Process Monitoring with LSTM Neural Networks
R.I.P.
๐ป
Ghosted
Forecasting: theory and practice
R.I.P.
๐ป
Ghosted
Accurate estimation of influenza epidemics using Google search data via ARGO
R.I.P.
๐ป
Ghosted
Survey of resampling techniques for improving classification performance in unbalanced datasets
Died the same way โ ๐ป Ghosted
R.I.P.
๐ป
Ghosted
Language Models are Few-Shot Learners
R.I.P.
๐ป
Ghosted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
R.I.P.
๐ป
Ghosted
XGBoost: A Scalable Tree Boosting System
R.I.P.
๐ป
Ghosted