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Persistent Identifier
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doi:10.7910/DVN/LIIUJK |
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Publication Date
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2024-11-22 |
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Title
| Replication Data for: Xs We Share, or: Context Similarity, Culture, and the Diffusion of Populism |
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Author
| Wiesehomeier, NinaIE UniversityORCID0000-0002-0134-5647
Düpont, NilsUniversität BremenORCID0000-0002-4766-9540
Ruth-Lovell, Saskia P.Radboud UniversityORCID0000-0003-0197-829X |
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Point of Contact
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Use email button above to contact.
Düpont, Nils (Universität Bremen) |
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Description
| Do populist ideas travel across borders? Anecdotal evidence suggests as much, yet so far we lack a systematic assessment of whether diffusion takes place, and if so, under which conditions. We argue that context similarity enables the diffusion of populism among parties as it eases the adaption of populist framing of perceived grievances into the local context. Using a dyadic approach, we analyze diffusion effects among 923 parties in 67 countries from 1970 to 2018. We find that similar levels of political and economic exclusion foster learning from and emulating other parties abroad. We also uncover conditional effects for learning from other parties facing similar levels of income inequality or public sector corruption that hinge on a cultural prescreening though. Combined, our results have important implications for a better understanding of diffusion processes in general and the spread of populist ideas around the globe in particular. |
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Subject
| Social Sciences |
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Keyword
| populism, diffusion, culture, political parties |
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Notes
| This dataset underwent an independent verification process, complying with the AJPS Verification Policy updated June 2023, which replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of the code. The verification process was carried out by the Cornell Center for Social Sciences at Cornell University.
The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the Center for Open Science.
Open Materials Badge |
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Producer
| Düpont, Nils (Universität Bremen) |
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Depositor
| Düpont, Nils |
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Deposit Date
| 2024-04-26 |
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Data Source
| For more information on the following sources used for building the analysis dataset please consult the documentation and/or the Readme.txt file.
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[2] Coppedge, Michael, John Gerring, Carl H. Knutsen, Staffan I. Lindberg, Jan Teorell, David Altman, Michael Bernhard, M. S. Fish, Adam Glynn, Allen Hicken, Anna Lührmann, Kyle L. Marquardt, Kelly McMann, Pamela Paxton, Daniel Pemstein, Brigitte Seim, Rachel Sigman, Svend-Erik Skaaning, Jeffrey Staton, Agnes Cornell, Lisa Gastaldi, Haakon Gjerløw, Valeri-ya Mechkova, Johannes von Römer, Aksel Sundtröm, Eitan Tzelgov, Luca Uberti, Yi-ting Wang, Tore Wig, and Daniel Ziblatt. 2020. V-Dem Codebook v10. Gothenburg: University of Gothenburg, Varieties of Democracy Institute (V-Dem). https://www.v-dem.net/en/data/reference-materials-v10.
[3] Döring, Holger, and Sven Regel. 2019. “Party Facts: A Database of Political Parties World-wide.” Party Politics 25 (2): 97–109.
[4] Gygli, Savina, Florian Haelg, and Jan-Egbert Sturm. 2018. The KOF Globalisation Index – Revisited. Zurich: KOF Swiss Economic Institute. KOF Working Papers, 439.
[5] Kitschelt, Herbert. 2013. Democratic Accountability and Linkages Project: 2008-9 Dataset. Duke University. https://sites.duke.edu/democracylinkage.
[6] Lindberg, Staffan I., Nils Düpont, Masaaki Higashijima, Yaman B. Kavasoglu, Kyle L. Mar-quardt, Michael Bernhard, Holger Döring, Allen Hicken, Melis Laebens, Juraj Medzihorsky, Anja Neundorf, Ora J. Reuter, Saskia R. Ruth-Lovell, Keith R. Weghorst, Nina Wiesehomei-er, Joseph Wright, Nazifa Alizada, Paul Bederke, Lisa Gastaldi, Sandra Grahn, Garry Hindle, Nina Ilchenko, Johannes von Römer, Steven Willson, Daniel Pemstein, and Brigitte Seim. 2022. Varieties of Party Identity and Organization (V-Party) Dataset V2. Göteborg: Varieties of Democracy (V-Dem) Project.
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