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Offline events and online engagement: user reaction following mass shootings

Author

Listed:
  • Veronica Espaillat

    (Brown University)

Abstract

This study seeks to analyze the impact of an offline event on online user sentiment. To conduct this analysis, this study implements a two-stage difference-in-difference regression model to determine whether an offline event has an impact on user sentiment. My data set primarily consists of a set of exogenous mass shootings, and relevant user data derived from the New York Times API. Moreover, this study implements sentiment analysis tools such as VADER and TextBlob to measure user sentiment. This study primarily finds a significant, negative effect on user sentiment following a mass shooting.

Suggested Citation

  • Veronica Espaillat, 2022. "Offline events and online engagement: user reaction following mass shootings," Economics Bulletin, AccessEcon, vol. 42(2), pages 913-926.
    • Handle: RePEc:ebl:ecbull:eb-21-00606
    as

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    File URL: http://www.accessecon.com/Pubs/EB/2022/Volume42/EB-22-V42-I2-P78.pdf
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    References listed on IDEAS

    as
    1. Gorodnichenko, Yuriy & Pham, Tho & Talavera, Oleksandr, 2021. "Social media, sentiment and public opinions: Evidence from #Brexit and #USElection," European Economic Review, Elsevier, vol. 136(C).
    2. repec:swn:wpaper:2018-01 is not listed on IDEAS
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    More about this item

    Keywords

    offline; online; mass shooting; sentiment analysis; difference in difference;
    All these keywords.

    JEL classification:

    • H8 - Public Economics - - Miscellaneous Issues
    • Z1 - Other Special Topics - - Cultural Economics

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