This repository contains the data and supporting documents for the research report titled "Up Next, biased politics? YouTube Recommendations and Political Bias in the Finnish Presidential Election 2024". The report examines the influence of YouTube's recommendation system, specifically the "Up Next" feature, on the Finnish media landscape during the 2024 presidential election.
data/: Folder containing datasets used in the analysis.
The data in this repository was collected through a novel architecture simulating YouTube searches on political topics from home user locations in Finland. This approach was designed to analyze the recommendation algorithm's behavior across a diverse range of political content.
- Funneling Effect: Users are directed towards a select group of channels, narrowing the range of political views they are exposed to.
- Overrepresentation of Right-Wing Voices: A significant bias towards right-wing content, especially from the Finns Party.
- Algorithmic Bias: Evidence suggesting an algorithmic bias within YouTube's recommendation system.
The data in this repository are open for academic and research purposes.
If you use the data or findings from this repository in your research, please cite as follows:
CrossOver, CheckFirst, Faktabaari. (2024). Up Next, biased politics? YouTube Recommendations and Political Bias in the Finnish Presidential Election 2024. https://github.com/CrossOverSocial/YouTube-Recommendations-and-Political-Bias-in-the-Finnish-Presidential-Election-2024.
This project is licensed under the MIT license - see the LICENSE file for details.
For any additional questions or comments, please contact CheckFirst.