The Journal of Experimental Political Science (JEPS) features research - be it theoretical, empirical, methodological, or some combination thereof - that utilizes experimental methods or experimental reasoning based on naturally occurring data.

This Dataverse contains replication data and other relevant files for articles published in the journal. For step by step instructions to upload your data and replication materials, see the JEPS Author Guide to Dataverse.

For more information about the journal, including its requirements regarding data and replication files, see the Instructions for Contributors page on the JEPS website.
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1 to 10 of 3,505 Results
Jun 25, 2025
Erlich, Aaron; Aslett, Kevin; Graham, Sarah; Tucker, Joshua, 2025, "Replication Data for: How Language Shapes Belief in Misinformation: A Study Among Multilinguals in Ukraine", https://doi.org/10.7910/DVN/YEAJ85, Harvard Dataverse, V1
Scholarship has identified key determinants of people's belief in misinformation, predominantly from English-language contexts. However, multilingual citizens often consume news media in multiple languages. We study how language of consumption affects belief in misinformation and true news articles in multilingual environments. We suggest that lang...
ZIP Archive - 4.4 MB - MD5: 7d974e1e3eb6f8ad3a3d62fa971e6447
Replication package that is double zipped. Unzip to run.
Jun 25, 2025
Lastra Anadón, Carlos Xabel; Gift, Thomas, 2025, "Replication Data for: ``Can Politicians Say That? What Shapes Public Responses to Speech Scandals?´´", https://doi.org/10.7910/DVN/DUVWXQ, Harvard Dataverse, V1, UNF:6:O0IjTRT5UkQaF3X8PEpicA== [fileUNF]
Data and code for replicating results of ``Can Politicians Say That? What Shapes Public Responses to Speech Scandals?´´, Journal of Experimental Political Science Thomas Gift (UCL) and Carlos X. Lastra-Anadón (IE University) Please get in touch for comments via clastra@faculty.ie.edu
Plain Text - 929 B - MD5: 63b0fde2e1d9e87f13e7381a60dff942
Unknown - 24.0 KB - MD5: 11a691ecc00c55887f0aa4588b236156
Tabular Data - 800.1 KB - 196 Variables, 1102 Observations - UNF:6:ExyQbmRyR5TB7h6s9KMBSw==
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