AI, Politics, and Society
“Decoding AI”: what artificial intelligence is and is not, its biases and harms, and how it reshapes democracy, media, work, inequality and climate — ending with regulation, governance and global power.
- Spring 2026
I teach at the intersection of politics, political communication and computational methods: hands-on seminars in R on text-as-data and data science, and seminars on emotions, digital media and artificial intelligence in politics. My teaching was recognised with the Innovation in Teaching Political Science Award (Aarhus University, 2023).
Courses by year
Courses
“Decoding AI”: what artificial intelligence is and is not, its biases and harms, and how it reshapes democracy, media, work, inequality and climate — ending with regulation, governance and global power.
From political psychology to public discourse: how emotions shape information processing, attitudes and mobilisation — and how they fuel polarisation, populism and radical politics.
Political communication in the digital age: how political actors communicate online, data-driven campaigning, dis- and misinformation, algorithmic bias, protest, hostility, polarisation and the far right on social media.
A version for journalism students: how politicians and journalists adapt to the digital media environment, and how morality, emotions, polarisation and violence play out on online platforms.
Hands-on text-as-data in R: web scraping, dictionaries, topic models, supervised machine learning and validation, word embeddings, transformers and large language models — built around students’ own projects.
Data science for political questions, in R: wrangling and visualisation, working with text, collecting data from the web and APIs, modelling, network data and the ethics of data-driven decision making. Co-taught with Jesper Rasmussen.
How public opinion forms and changes, and the role of news and social media in shaping it.
A short workshop series for getting started with R and RStudio: from first lines of code to tidy data and plots.
An introduction to the role of emotions in political behaviour and political communication.
A workshop introducing doctoral researchers to computational text analysis for the social sciences.