Sami Nenno

Sami Nenno is an associate researcher at the AI & Society Lab of the Alexander von Humboldt Institute for Internet and Society (HIIG) and a postdoctoral researcher at the Center Synergy of Systems (Synosys) at the Technical University of Dresden. His work focuses on the intersection of artificial intelligence, disinformation, and political communication, with an emphasis on developing automated tools for fact-checking and analyzing large-scale text data.

His educational background includes:

• Doctorate in Communication Science from the University of Bremen
• Master's degree in Philosophy from Humboldt University Berlin
• Master's degree in Data Science from the Berlin University of Technology

Nenno's research interests center on disinformation and political communication in social media, natural language processing for fact-checking, and sustainable artificial intelligence. He has developed tools for monitoring disinformation and has investigated the sustainability and efficiency of machine learning models, particularly in reducing energy consumption during training.

His recent publications demonstrate a strong focus on the analysis of misinformation across multiple countries, the use of fact-checking articles as data sources, and the development of methods for claim detection and named entity recognition in the political domain. The work spans communication science, computer science, and sustainable computing.

No scientific awards were mentioned in the provided information.

There is no information available regarding advising of students or research grants.

Nenno is actively involved in the AI & Society Lab at HIIG, where he contributes to projects such as Public Interest AI, which aims to develop methods for assessing public interest orientation in AI systems. He also participates in organizing events and workshops on AI and society, including the Sustainable AI series and hackathons.