Climate Change Reporting
Topic Modeling Visualizations
Czech Television Transcripts (2012-2022)
Andrea Culkova
Academy of Performing Arts in Prague
Ondrej Pekacek
Charles University
Irena Reifova
Charles University
Irene Elmerot
Stockholm University
This project investigates the discourse on climate change in
Czech television, using topic modeling to identify the main
themes and trends in the coverage of this issue between
2012-2022.
The following visualizations (created by D3.js & LDAVis) provide
an overview of the results for different numbers of topics,
using both
Latent Dirichlet Allocation (LDA) and
Non-Negative Matrix Factorization (NMF) techniques.
How does an AI image generation model - DALL-E 2 - imagine news media reporting on climate change?