The repository contains a lab experiment dataset exploring designs of digital participatory budgeting systems for fairness and legitimacy, focusing on diverse voting formats and aggregation methods.
Merging the capabilities of AI with Political Science
Replication data for Engst / Gschwend / Sternberg. 2020. “Die Besetzung des Bundesverfassungsgerichts. Ein Spiegelbild gesellschaftlicher Präferenzen?” [The Composition of the Federal Constitutional Court. Mirror Image of Societal Preferences?] Politische Vierteljahresschrift 61 (2): 39-60.
This GitHub repository includes behavioral data and analysis code from an online experiment that examines the perceived legitimacy of various voting methods. Participants were asked to vote using four distinct methods, and subsequently, they provided their perceptions of the legitimacy of each method.
Data analysis project on Fake job posting dataset using Machine Learning and NLP basics
This project aims to use real-time data of people's sentiments from social networks to create a Legitimacy Index for International Institutions like the UN. The goal is to be able to use the index in various other studies.
Add a description, image, and links to the legitimacy topic page so that developers can more easily learn about it.
To associate your repository with the legitimacy topic, visit your repo's landing page and select "manage topics."