DOI: 10.3886/e209242v1
title: Conflicts Rooted in Socio-Cultural Animosities: Analyses Based on SPEED Data

description: These data were assembled to study the causes of domestic conflicts. They are based on a<b> </b>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. <br><br>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.)

 

<br><br>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-....


 

<br><br>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. 

 

<br><br>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.

 <br>
description: N/A
description: Response Rates: N/A
description: Presence of Common Scales: N/A
description: N/A
description: The SPEED dataset is event-level, other datasets involved are country-level. Smallest Geographic Unit: Worldwide
description: other;