Mining the Cause of Political Decision-Making from Social Media: A Case Study 
of COVID-19 Policies across the US States

Jin, Zhijing; Peng, Zeyu; Vaidhya, Tejas; Schölkopf, Bernhard; Mihalcea, Rada

doi:10.18653/v1/2021.findings-emnlp.27

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Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States

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Jin, Zhijing
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;
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Schölkopf, Bernhard
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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http://dx.doi.org/10.18653/v1/2021.findings-emnlp.27
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Jin, Z., Peng, Z., Vaidhya, T., Schölkopf, B., & Mihalcea, R. (2021). Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States. In M.-F. Moens, X. Huang, L. Specia, & S.-W.-t. Yih (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2021 (pp. 288-301). Stroudsburg, PA: Association for Computational Linguistics. doi:10.18653/v1/2021.findings-emnlp.27.

Cite as: https://hdl.handle.net/21.11116/0000-0010-3186-F

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