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 |
|---|---|---|---|
| SI1 Robustness Table 1 | 09/22/2021 07:17:AM | ||
| SI2 Event study | 09/23/2021 07:22:PM | ||
| SI3 Event study 2016 | 09/22/2021 07:17:AM | ||
| SI4 RD | 09/22/2021 07:17:AM | ||
| SI5 Hedonometer | 09/22/2021 07:17:AM | ||
| SI6 Blank tweets | 09/22/2021 07:17:AM | ||
|
|
application/x-stata-do | 6.8 KB | 09/22/2021 03:17:AM |
|
|
text/plain | 5.5 KB | 09/22/2021 03:17:AM |
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.
Related Publications
Published Versions
Report a Problem
Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.
This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.