Final project in 02807 Computational Tools for Data Science Fall 22
-made by Asger Schultz s183912, Søren Winkel Holm s18311, Anders Henriksen s183904, Huayuan Song s183897
On the 1st of November 2022, following a four-week election period, voting took place for seats in the Danish National Parliament with a historic 14 eligible political parties. While Facebook is the dominant social medium for the general Danish population, a large number of politicians are active on Twitter, and it has been characterised as a unique discussion hub with immense influence on media and politics. We examine the Twitter use of candidates for Parliament during the election using data analysis methods such as social network graphs. We carry out an explorative analysis with the goal of shedding light on the following open questions of importance for the electorate: What were the most important discussion themes in the election? Did candidates mainly interact in separate sub-communities, as suggested by the social media echo chamber effect? How did the different political parties and party blocs differ in their use of Twitter?
Main code and analysis: appendix.ipynb
Data: /data