1 citations · 2 across the 11 of their papers we have counts for
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Leveraging Media Frames to Improve Normative Diversity in News Recommendations
Sourabh Dattawad, Agnese Daffara, Tanise Ceron
Click-based news recommender systems suggest users content that aligns with their existing history, limiting the diversity of articles they encounter. Recent advances in aspect-bas…
What Is The Political Content in LLMs' Pre- and Post-Training Data?
Tanise Ceron, Dmitry Nikolaev, Dominik Stammbach +1
Large language models (LLMs) reflect politically-slanted opinions in their generated text. Even though it is widely assumed that model behavior stem from training data, there has b…
Democratizing News Recommenders: Modeling Multiple Perspectives for News Candidate Generation with VQ-VAE
Hardy, Sebastian Padó, Amelie Wührl +1
News Recommender Systems (NRS) shape what users read, whose perspectives they encounter, and influence public discourse. Yet their design is value-laden: intentionally or not, NRS…
Do Political Opinions Transfer Between Western Languages? An Analysis of Unaligned and Aligned Multilingual LLMs
Franziska Weeber, Tanise Ceron, Sebastian Padó
Public opinion surveys show cross-cultural differences in political opinions between socio-cultural contexts. However, there is no clear evidence whether these differences translat…
Generalizability of Media Frames: Corpus creation and analysis across countries
Agnese Daffara, Sourabh Dattawad, Sebastian Padó +1
Frames capture aspects of an issue that are emphasized in a debate by interlocutors and can help us understand how political language conveys different perspectives and ultimately…