Emotional Responses to the Pandemic Through the Lens of Text Data

Bennett Kleinberg

Abstract

WPRN21 Conference - Paris IAS, 9-10 December 2021. Keynote by Bennett Kleinberg

Keynote presentation by Bennett Kleinberg during the WPRN21 conference in Paris on December 10th 2021

Bennett Kleinberg: Emotional responses to the pandemic through the lens of text data

Bibliography

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Gentzkow, M., Kelly, B., & Taddy, M. (2019). Text as Data. Journal of Economic Literature, 57(3), 535–574. https://doi.org/10.1257/jel.20181020

Kleinberg, B., van der Vegt, I., & Mozes, M. (2020). Measuring emotions in the COVID-19 real world worry dataset. In K. Verspoor, K. Bretonnel Cohen, M. Dredze, E. Ferrara, J. May, R. Munro, C. Paris, & B. Wallace (Eds.), Proceedings of the 1st workshop on NLP for COVID-19 at ACL 2020 (p. 8). Association for Computational Linguistics. https://research.tilburguniversity.edu/en/publications/measuring-emotions-in-the-covid-19-real-world-worry-dataset

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van der Vegt, I., & Kleinberg, B. (2020). Women Worry About Family, Men About the Economy: Gender Differences in Emotional Responses to COVID-19. In S. Aref, K. Bontcheva, M. Braghieri, F. Dignum, F. Giannotti, F. Grisolia, & D. Pedreschi (Eds.), Social Informatics (pp. 397–409). Springer International Publishing. https://doi.org/10.1007/978-3-030-60975-7_29

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