Data and code for: Reduced Trolling on Russian Holidays and Daily US Presidential Election Odds

Principal Investigator(s):  View help for Principal Investigator(s) Douglas Almond, Columbia University and NBER; Xinming Du, Columbia University; Alana Vogel, Columbia University

Version:  View help for Version V1

Name File Type Size Last Modified
  Code for Figures 09/22/2021 07:15:AM
  Code for Tables 09/22/2021 07:17:AM
  Data 09/22/2021 07:18:AM
README.txt text/plain 372 bytes 02/18/2022 04:10:AM

Project Citation: 

Almond, Douglas, Du, Xinming, and Vogel, Alana . Data and code for: Reduced Trolling on Russian Holidays and Daily US Presidential Election Odds. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-02-18. https://doi.org/10.3886/E150542V1

Project Description

Summary:  View help for Summary Russian trolls generally supported the Trump campaign and were particularly active on Twitter 2015-2017. We find that trolling fell 35% on Russian holidays and to a lesser extent, when temperatures were cold in St. Petersburg. Exogenous variation in trolling by day allows us to consider indirectly-affected  political behaviors in the US -- outcomes that are  less traceable via tweet sharing  but potentially more important to policymakers than the direct dissemination  previously studied. As a case in point, we describe reduced form evidence that Russian holidays affected daily trading prices in 2016 election betting markets. This response is consistent with successful Russian interference in support of Trump. 




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V1 [2022-02-18]

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