Social Media and Xenophobia: Evidence from Russia
Leonardo Bursztyn,
Georgy Egorov,
Ruben Enikolopov and
Maria Petrova
No 26567, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
We study the effect of social media on xenophobic attitudes in Russia. We build a model where social media increases the likelihood of meeting like-minded people locally and in other cities, and where online interactions can be persuasive. We show that social media increases the share of individuals holding extreme opinions, but it may also increase the share of people hiding these opinions, which calls for proper measurement of attitudes. Empirically, we confirm these predictions by combining data from a survey experiment with data on hate crimes, and exploiting quasi-exogenous variation in city-level social media penetration in Russia. We find that higher city-level social media exposure: i) increased the share of individuals holding xenophobic attitudes (consistent with a persuasion mechanism); ii) reduced people’s willingness to openly express xenophobia (consistent with a social image mechanism); iii) led to more hate crimes in cities with higher pre-existing levels of nationalism (consistent with a mechanism of connecting like-minded people locally, thus facilitating the coordination of collective action).
JEL-codes: D7 H0 J15 (search for similar items in EconPapers)
Date: 2019-12
New Economics Papers: this item is included in nep-cis, nep-cul, nep-exp, nep-net, nep-soc and nep-ure
Note: PE POL
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Citations: View citations in EconPapers (64)
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Working Paper: Social Media and Xenophobia: Evidence from Russia (2020) 
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