Political Data Science

"Political Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge from data to the domains of Polity, Politics and Policy."

September 20, 2022

Medium: Predicting similar political donors for UK parties using graph data

July 27, 2022

Medium: Detecting Political bias in online articles using NLP and classification models

link.medium.com/kp1Lu7V2Zrb

July 3, 2022

Brookings: What all policy analysts need to know about data science

“To better understand its importance to public policy, it’s useful to distinguish between two broad (though highly interdependent) trends that define data science. The…

July 3, 2022

Paper: Creating and Comparing Dictionary, Word Embedding, and Transformer-Based Models to Measure Discrete Emotions in German Political Text

Abstract Previous research on emotional language relied heavily on off-the-shelf sentiment dictionaries that focus on negative and positive tone. These dictionaries are often tailored…

April 26, 2022

German newspaper Süddeutsche uses NLP to analyze plenary debate protocols

The German newspaper Süddeutsche used natural language processing to analyze several years of plenary protocols from the Bundestag, Germany’s federal parliament. Article: https://www.sueddeutsche.de/projekte/artikel/politik/so-haben-wir-den-bundestag-ausgerechnet-e893391/ Github:…

October 15, 2021

How Populist are Parties? Measuring Degrees of Populism in Party Manifestos Using Supervised Machine Learning

Abstract One of the main challenges in comparative studies on populism concerns its temporal and spatial measurements within and between a large number of…