
The World Protests dataset is part of an international research project documenting major protest episodes worldwide since 2006 (supported by the Friedrich-Ebert-Stiftung, Initiative for Policy Dialogue and the Global Social Justice program). It is presented through an online platform that provides country-level summaries, detailed information on protest events (e.g., grievances and tactics), and references to media coverage. The dataset covers 2,800+ protest episodes across more than 100 countries between 2006 and 2020, drawing primarily on international and national media reports published online. Access is available only through the interactive platform, which allows users to search, among other things, by protest type and country; no downloadable files are provided.
Published on Discuss Data, https://discuss-data.net/dataset/4a454a73-cbae-4dc4-848c-96f242091bee/
Method(s) of data collection: Media Analysis
Estonia, Tajikistan, Azerbaijan, Georgia, GDR, Belarus, Lithuania, Uzbekistan, Armenia, Moldova, Protests, Latvia, Kazakhstan, Russia, English, Other, Kyrgyzstan, Ukraine, Turkmenistan, USSR
Estonia, Tajikistan, Azerbaijan, Georgia, GDR, Belarus, Lithuania, Uzbekistan, Armenia, Moldova, Protests, Latvia, Kazakhstan, Russia, English, Other, Kyrgyzstan, Ukraine, Turkmenistan, USSR
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
