4 citations · 5 across the 5 of their papers we have counts for
5 papers
Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems
Andrea Forster, Peter Müllner, Denis Helic +2
LLM agents are increasingly used for personalization due to their ability to communicate directly with users in natural language, integrate external knowledge bases, and negotiate…
Modeling Behavioral Patterns in News Recommendations Using Fuzzy Neural Networks
Kevin Innerebner, Stephan Bartl, Markus Reiter-Haas +1
News recommender systems are increasingly driven by black-box models, offering little transparency for editorial decision-making. In this work, we introduce a transparent recommend…
Towards Multi-Aspect Diversification of News Recommendations Using Neuro-Symbolic AI for Individual and Societal Benefit
Markus Reiter-Haas, Elisabeth Lex
News recommendations are complex, with diversity playing a vital role. So far, existing literature predominantly focuses on specific aspects of news diversity, such as viewpoints.…
Framing Analysis of Health-Related Narratives: Conspiracy versus Mainstream Media
Markus Reiter-Haas, Beate Klösch, Markus Hadler +1
Understanding how online media frame issues is crucial due to their impact on public opinion. Research on framing using natural language processing techniques mainly focuses on spe…
FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlines
Markus Reiter-Haas, Beate Klösch, Markus Hadler +1
Revealing the framing of news articles is an important yet neglected task in information seeking and retrieval. In the present work, we present FrameFinder, an open tool for extrac…