Contagious Protests
This paper explores the spillover of protests across countries using data on nonviolent and spontaneous demonstrations for 200 countries from 2000 to 2020. Using an autoregressive spatial model, the analysis finds strong evidence of "contagiou...
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| Format: | Working Paper |
| Language: | English |
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World Bank, Washington, DC
2020
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| Online Access: | http://documents.worldbank.org/curated/en/775361594731197002/Contagious-Protests http://hdl.handle.net/10986/34130 |
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okr-10986-341302022-09-20T00:12:30Z Contagious Protests Arezki, Rabah Dama, Alou Adesse Djankov, Simeon Nguyen, Ha STREET PROTEST CONTAGION SOCIAL MEDIA SOCIAL NETWORK PROTEST SPILLOVER PARALLEL LEARNING This paper explores the spillover of protests across countries using data on nonviolent and spontaneous demonstrations for 200 countries from 2000 to 2020. Using an autoregressive spatial model, the analysis finds strong evidence of "contagious protests," with a catalyzing role of social media. In particular, social media penetration in the source and destination of protests leads to protest spillovers between countries. There is evidence of parallel learning between streets of nations alongside the already documented learning between governments. 2020-07-16T16:50:46Z 2020-07-16T16:50:46Z 2020-07 Working Paper http://documents.worldbank.org/curated/en/775361594731197002/Contagious-Protests http://hdl.handle.net/10986/34130 English Policy Research Working Paper;No. 9321 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English |
| topic |
STREET PROTEST CONTAGION SOCIAL MEDIA SOCIAL NETWORK PROTEST SPILLOVER PARALLEL LEARNING |
| spellingShingle |
STREET PROTEST CONTAGION SOCIAL MEDIA SOCIAL NETWORK PROTEST SPILLOVER PARALLEL LEARNING Arezki, Rabah Dama, Alou Adesse Djankov, Simeon Nguyen, Ha Contagious Protests |
| relation |
Policy Research Working Paper;No. 9321 |
| description |
This paper explores the spillover of
protests across countries using data on nonviolent and
spontaneous demonstrations for 200 countries from 2000 to
2020. Using an autoregressive spatial model, the analysis
finds strong evidence of "contagious protests,"
with a catalyzing role of social media. In particular,
social media penetration in the source and destination of
protests leads to protest spillovers between countries.
There is evidence of parallel learning between streets of
nations alongside the already documented learning between governments. |
| format |
Working Paper |
| author |
Arezki, Rabah Dama, Alou Adesse Djankov, Simeon Nguyen, Ha |
| author_facet |
Arezki, Rabah Dama, Alou Adesse Djankov, Simeon Nguyen, Ha |
| author_sort |
Arezki, Rabah |
| title |
Contagious Protests |
| title_short |
Contagious Protests |
| title_full |
Contagious Protests |
| title_fullStr |
Contagious Protests |
| title_full_unstemmed |
Contagious Protests |
| title_sort |
contagious protests |
| publisher |
World Bank, Washington, DC |
| publishDate |
2020 |
| url |
http://documents.worldbank.org/curated/en/775361594731197002/Contagious-Protests http://hdl.handle.net/10986/34130 |
| _version_ |
1764480379326038016 |