Drivers of COVID-19 protest across localities in Israel: a machine-learning approach-Reference-Cited by-同舟云学术

Drivers of COVID-19 protest across localities in Israel: a machine-learning approach

Published:2023-09-18 Issue:1 Volume:5 Page:
ISSN:2474-736X
Container-title:Political Research Exchange
language:en
Short-container-title:Political Research Exchange

Author:

Schlager Nina¹,Donnay Karsten²,Kim Hyunjung¹,Bhavnani Ravi¹

Affiliation:

1. Department of International Relations & Political Science, Geneva Graduate Institute, Geneva, Switzerland

2. Department of Political Science, University of Zurich, Zurich, Switzerland

Publisher

Informa UK Limited

Subject

Political Science and International Relations

Link

https://www.tandfonline.com/doi/pdf/10.1080/2474736X.2023.2257368

Reference70 articles.

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2. ACLED. 2020b. “Israel and Palestine Sourcing Profile.” Armed Conflict Location & Event Data Project. Accessed April 10 2023. https://acleddata.com/acleddatanew/wp-content/uploads/2021/11/ACLED_Israel-Palestine-Sourcing-Profile_April-2020.pdf.

3. ACLED. 2023a. “Direct Covid-19 Disorder Events.” Armed Conflict Location & Event Data Project. Accessed February 10 2023. https://acleddata.com/analysis/covid-19-disorder-tracker.

4. ACLED. 2023b. “Disorder Events in Israel and Palestine.” Armed Conflict Location & Event Data Project. Accessed February 10 2023. https://acleddata.com/data-export-tool/.

5. Al-Sayed K. and S. Hanna. 2013. “How City Spaces Afford Opportunities for Riots.” In Proceedings of the Ninth International Space Syntax Symposium edited by Y. O. Kim H. T. Park and K. W. Seo 1–12. Seoul: Sejong University.