Work

Political Stance Analysis Using Swedish Parliamentary Data

Year: 2019

Type: article

Abstract: We process and visualize Swedish parliamentary data using methods from statistics and machine learning, which allows us to obtain insight into the political processes behind the data. We produce plots that let us infer the relative stance of political parties and their members on different topics. In addition, we can infer the degree of homogeneity of individual votes within different parties, as well as the degree of multi-dimensionality of Swedish politics.

Source: Digital Humanities in the Nordic and Baltic Countries Publications

DOI: 10.5617/dhnbpub.11111

Authors: Jacobo Rouces, Lars Borin, Nina Tahmasebi

Institution: University of Gothenburg

Language: English

Topic: Computational and Text Analysis Methods

Subfield: General Social Sciences

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: diamond

Funders: Vetenskapsrådet, Göteborgs Universitet