Data Resources
"Data is Plural" is a newsletter curated by Jeremy Singer-Vine, which focuses on delivering interesting and useful datasets to its subscribers. The newsletter, sent weekly, features a variety of datasets that range from the deeply serious to the delightfully trivial. Each edition introduces multiple datasets, providing brief descriptions and links where subscribers can access the data. The aim of "Data is Plural" is to highlight the diversity and richness of data sources available, encouraging exploration and analysis across a wide array of subjects. This resource is invaluable for journalists, researchers, data scientists, and anyone interested in the stories that can be told through data. Subscriptions are free, making it an accessible tool for those looking to enhance their data-driven projects or simply satisfy their curiosity about the world through data. HERE is a Google Sheets version of the curated list.
"PolData" is a comprehensive GitHub repository managed by Erik Gahner Larsen, aimed at providing an aggregated collection of political datasets. This repository serves as a crucial resource for researchers and analysts interested in political science. It systematically compiles datasets related to various aspects of political data, such as election results, political attitudes, and policy data from multiple sources and countries. The goal of PolData is to facilitate easy access to high-quality political data, enabling detailed and informed analysis in academic, journalistic, and policy-making contexts. The repository is regularly updated and is designed to be a one-stop resource for anyone looking to conduct rigorous political research. Each dataset included in PolData comes with a brief description, source information, and direct links to download, simplifying the process for users to find and utilize political data effectively.
Bibliographies
The "PEFR Bibliography" is maintained by The Political Ecologies of the Far Right Network, which focuses on exploring the interplay between environmental issues and the growth of far-right movements around the world. Addressing both climate change and far-right rise in parliaments, the network aims to connect researchers, practitioners, and activists to deepen understanding and engagement on how the far right mobilizes around environmental themes, from hindering climate action to claims of protecting national "nature."
Kai Arzheimer has amassed a substantial bibliography of 1440 titles and counting on The Extreme Right in Western Europe, available for download in BibTeX format. Arzheimer regularly updates this bibliography through blog posts, highlighting new additions. For a more accessible introduction, he has authored review articles on the social profiles of Radical Right voters and the various theoretical mechanisms explaining their electoral support. Arzheimer also discusses the evolving terminology in this field, arguing for a nuanced approach to labels such as Radical Right, Far Right, and Extreme Right.
This is a collection of documentaries and short videos on white extremist movements compiled by Dr. Paris Aslanidis at Yale University. The collection focuses on grassroots white radicalism and extremism (recent and contemporary), to be used for educational purposes. The owners of the content have copyright protection. Summary descriptions have been scraped from the publishers’ websites.
Methodological Resources
The Expected Parrot Domain-Specific Language (EDSL) package lets you conduct computational social science research with AI. Use it to design surveys and experiments, simulate responses with large language models, and perform data labeling and other research tasks. EDSL comes with built-in methods for analyzing, visualizing, and sharing your results.
Quanteda is a powerful R package designed for the quantitative analysis of textual data. Developed by Kenneth Benoit and Kohei Watanabe, and supported by the European Research Council and the Quanteda Initiative CIC, this package is tailored for R users who require advanced natural language processing capabilities. Quanteda's features are on par with or surpass those of many proprietary software options, providing a cost-effective solution for researchers, students, and analysts. The package includes a range of functions for processing and analyzing text, requiring users to have some R programming knowledge. With a consistent and efficient API, quanteda simplifies the process of engaging in natural language processing and quantitative text analysis, making it accessible even to those new to NLP. The package also supports a family of modular packages for specific tasks like sentiment analysis and statistical modeling, enhancing its utility and flexibility for handling complex textual data analysis tasks.