Conflicts Rooted in Socio-Cultural Animosities: Analyses Based on SPEED Data

Principal Investigator(s):  View help for Principal Investigator(s) Agnes K. Koos, University of Nevada Reno

Version:  View help for Version V1

Name File Type Size Last Modified
Qog Hist_EF V-Dem by 2005 with SPEED extract.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 21.7 MB 09/21/2024 02:52:PM
Speed Event Data with Controls.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 128 MB 09/21/2024 04:02:PM

Project Citation: 

Koos, Agnes K. Conflicts Rooted in Socio-Cultural Animosities: Analyses Based on SPEED Data. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-09-21. https://doi.org/10.3886/E209242V1

Project Description

Summary:  View help for Summary These data were assembled to study the causes of domestic conflicts. They are based on a project of the University of Illinois (Social, Political, Economic Event Database, SPEED), which leverages six decades of journalist output (1945-2005), and contains 62,141 newsworthy disruptive events worldwide. It also distinguishes between events rooted in class-based conflicts and anti-government sentiment, a total of eight "origins", in addition to socio-cultural animosities (SCA). We explored the dataset to assess the impact of communal identities as compared to other cleavages that unavoidably emerge in all societies. We added background variables from other open-source databases, such as Quality of Government, and Varieties of Democracy. The data merging was carried out in two ways: (i) adding country features to the original event-level SPEED data; and (ii) adding aggregated SPEED information to a country-level dataset compiled from the other sources. Thus two compiled datasets are deposited. The original sources, all open access data, are listed below with their original web addresses. 

SPEED Global Random Sample 1945-2005 ("spp_public.xls”), Cline Center for Advanced Social Research, University of Illinois, data produced within the frames of the Social, Political, and Economic Event Database (SPEED) Project, https://clinecenter.illinois.edu/project/human-loop-event-data-projects/SPEED. (The exact location of the Excel file used is at https://uofi.app.box.com/s/l2qc5rnn7tjpbwodhi6jc50fk2vlwjbv.)  

Historical Index of Ethnic Fractionalization (HIEF) data. The fractionalization indexes were calculated by Lenka Drazanova (https://openhumanitiesdata.metajnl.com/articles/10.5334/johd.16), based on the ethnic distribution data compiled by the Composition of Religious and Ethnic Groups (CREG) Project, also of the Cline Center for Advanced Social Research, https://clinecenter.illinois.edu/project/Religious-Ethnic-Identity/composition-religious-and-ethnic-....  

Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli & Yente Meijers. 2023. The Quality of Government Standard Dataset, version Jan23. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government doi:10.18157/qogstdjan23. We used the time series version.  

Coppedge, Michael, John Gerring, Carl Henrik Knutsen, Staffan I. Lindberg, Jan Teorell, David Altman, Michael Bernhard, Agnes Cornell, M. Steven Fish, Lisa Gastaldi, Haakon Gjerløw, Adam Glynn, Ana Good God, Sandra Grahn, Allen Hicken, Katrin Kinzelbach, Joshua Krusell, Kyle L. Marquardt, Kelly McMann, Valeriya Mechkova, Juraj Medzihorsky, Natalia Natsika, Anja Neundorf, Pamela Paxton, Daniel Pemstein, Josefine Pernes, Oskar Rydén, Johannes von Römer, Brigitte Seim, Rachel Sigman, Svend-Erik Skaaning, Jeffrey Staton, Aksel Sundström, Eitan Tzelgov, Yi-ting Wang, Tore Wig, Steven Wilson and Daniel Ziblatt. 2023. "V-Dem [Country-Year] Dataset v13" Varieties of Democracy (V-Dem) Project. https://doi.org/10.23696/vdemds23.  

Scope of Project

Subject Terms:  View help for Subject Terms Domestic conflict; Ethnic/communal conflict; Socio-cultural animosities; Conflict types; Disruptive events; Conflict and democracy
Geographic Coverage:  View help for Geographic Coverage Worldwide
Time Period(s):  View help for Time Period(s) 1945 – 2005
Collection Date(s):  View help for Collection Date(s) 2010 – 2023
Universe:  View help for Universe The SPEED dataset is event-level, other datasets involved are country-level.
Data Type(s):  View help for Data Type(s) aggregate data

Methodology

Response Rate:  View help for Response Rate N/A
Sampling:  View help for Sampling N/A
Data Source:  View help for Data Source SPEED Global Random Sample 1945-2005 ("spp_public.xls”), Cline Center for Advanced Social Research, University of Illinois, data produced within the frames of the Social, Political, and Economic Event Database (SPEED) Project, https://clinecenter.illinois.edu/project/human-loop-event-data-projects/SPEED. (The exact location of the Excel file used is at https://uofi.app.box.com/s/l2qc5rnn7tjpbwodhi6jc50fk2vlwjbv.)   Historical Index of Ethnic Fractionalization (HIEF) data. The fractionalization indexes were calculated by Lenka Drazanova (https://openhumanitiesdata.metajnl.com/articles/10.5334/johd.16), based on the ethnic distribution data compiled by the Composition of Religious and Ethnic Groups (CREG) Project, also of the Cline Center for Advanced Social Research, https://clinecenter.illinois.edu/project/Religious-Ethnic-Identity/composition-religious-and-ethnic-....   Teorell, Jan, Aksel Sundström, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon, Cem Mert Dalli & Yente Meijers. 2023. The Quality of Government Standard Dataset, version Jan23. University of Gothenburg: The Quality of Government Institute, https://www.gu.se/en/quality-government doi:10.18157/qogstdjan23. We used the time series version.   Coppedge, Michael, John Gerring, Carl Henrik Knutsen, Staffan I. Lindberg, Jan Teorell, David Altman, Michael Bernhard, Agnes Cornell, M. Steven Fish, Lisa Gastaldi, Haakon Gjerløw, Adam Glynn, Ana Good God, Sandra Grahn, Allen Hicken, Katrin Kinzelbach, Joshua Krusell, Kyle L. Marquardt, Kelly McMann, Valeriya Mechkova, Juraj Medzihorsky, Natalia Natsika, Anja Neundorf, Pamela Paxton, Daniel Pemstein, Josefine Pernes, Oskar Rydén, Johannes von Römer, Brigitte Seim, Rachel Sigman, Svend-Erik Skaaning, Jeffrey Staton, Aksel Sundström, Eitan Tzelgov, Yi-ting Wang, Tore Wig, Steven Wilson and Daniel Ziblatt. 2023. "V-Dem [Country-Year] Dataset v13" Varieties of Democracy (V-Dem) Project. https://doi.org/10.23696/vdemds23.  
Collection Mode(s):  View help for Collection Mode(s) other
Scales:  View help for Scales N/A
Weights:  View help for Weights N/A
Unit(s) of Observation:  View help for Unit(s) of Observation Disruptive event; Country
Geographic Unit:  View help for Geographic Unit Worldwide

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V1 [2024-09-21]

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