Three new articles by Lab member Sami Nenno

Sami Nenno, member of the Digital Communication and Information Diversity Lab, has recently published three new scientific articles in several publications:

• Nenno, S. (2024). Is checkworthiness generalizable? Evaluating task and domain generalization of datasets for claim detection. Neural Computing and Applications. https://doi.org/10.1007/s00521-024-09896-4
• Nenno, S. (2024). Potentials and Limitations of Active Learning: For the Reduction of Energy Consumption During Model Training. Weizenbaum Journal of the Digital Society, 4(1), Article 1. https://doi.org/10.34669/WI.WJDS/4.1.3
• Nenno, S. (2024). Propositional claim detection: A task and dataset for the classification of claims to truth. Journal of Computational Social Science. https://doi.org/10.1007/s42001-024-00289-0

Sami Nenno is an advisory member at the Centre for Media, Communication and Information Research at the University of Bremen and a research associate at the Humboldt Institute for Internet and Society in the research group “Public Interest AI”. He is currently writing his doctoral thesis on the topic of Claimspotting: On the Role and Automation of Fact-Checking.