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Food insufficiency and Twitter emotions during a pandemic

Author

Listed:
  • Stephan J. Goetz
  • Connor Heaton
  • Muhammad Imran
  • Yuxuan Pan
  • Zheng Tian
  • Claudia Schmidt
  • Umair Qazi
  • Ferda Ofli
  • Prasenjit Mitra

Abstract

The COVID‐19 pandemic initially caused worldwide concerns about food insecurity. Tweets analyzed in real‐time may help food assistance providers target food supplies to where they are most urgently needed. In this exploratory study, we use natural language processing to extract sentiments and emotions expressed in food security‐related tweets early in the pandemic in U.S. states. The emotion joy dominated in these tweets nationally, but only anger, disgust, and fear were also statistically correlated with contemporaneous food insufficiency rates reported in the Household Pulse Survey; more nuanced and statistically stronger correlations are detected within states, including a negative correlation with joy.

Suggested Citation

  • Stephan J. Goetz & Connor Heaton & Muhammad Imran & Yuxuan Pan & Zheng Tian & Claudia Schmidt & Umair Qazi & Ferda Ofli & Prasenjit Mitra, 2023. "Food insufficiency and Twitter emotions during a pandemic," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(2), pages 1189-1210, June.
    • Handle: RePEc:wly:apecpp:v:45:y:2023:i:2:p:1189-1210
    DOI: 10.1002/aepp.13258
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    References listed on IDEAS

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    1. Diane Charlton & Marcelo Castillo, 2021. "Potential Impacts of a Pandemic on the US Farm Labor Market," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(1), pages 39-57, March.
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    Cited by:

    1. Nirmalya Thakur & Kesha A. Patel & Audrey Poon & Rishika Shah & Nazif Azizi & Changhee Han, 2023. "A Comprehensive Analysis and Investigation of the Public Discourse on Twitter about Exoskeletons from 2017 to 2023," Future Internet, MDPI, vol. 15(10), pages 1-46, October.

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