Understanding Stay-at-home Attitudes through Framing Analysis of Tweets
Author:
Affiliation:
1. University of Illinois at Chicago,Department of Computer Science,Chicago,IL
2. University of Illinois at Chicago,Department of Communication,Chicago,IL
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10032305/10032324/10032455.pdf?arnumber=10032455
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1. Morality between the lines : Detecting moral sentiment in text;garten;IJCAI,2016
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3. Framing Theory
4. BactoGeNIE: a large-scale comparative genome visualization for big displays
5. Political partisanship influences behavioral responses to governors’ recommendations for covid-19 prevention in the united states;grossman;Proceedings of the National Academy of Sciences,2020
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1. A Lens to Pandemic Stay at Home Attitudes;2023 IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses (Vis4PandEmRes);2023-10-22
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