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.

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.