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Petter Törnberg is Assistant Professor at the Institute for Language, Logic and Computation at the University of Amsterdam, senior researcher at the University of Neuchâtel, and holds the title of Associate Professor in Complex Systems at Chalmers University of Technology.  
 
His research focuses on the intersection of AI, social media, and politics, using digital data and computational methods for critical research that contributes to social scientific theory.  
 
MASSHINE is happy to announce that Petter Törnberg will be joining the Generative Methods -conference for a keynote in December. 
 
Generative AI and the study of online political communication 
 
Törnberg has been particularly interested in the use of machine learning methods to study phenomena like misinformation and affective polarization on social media. As part of this work, he recently demonstrated the benefits of Chat GPT for annotating political communication on Twitter. 
 
He has also been active in theory of science debates about the epistemic status of machine learning in social science research methods.

In his recent call for a heterodox computational social science he thus argues for a broader use of such techniques to “identify contingent patterns, develop conjunctural explanations, and propose qualitatively different ways of organizing social life”.