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Structuring the Space of Perspectives
Agnese Daffara, Sebastian Padó, Tanise Ceron
The same event can be reported from different perspectives depending on the experiences, background, and beliefs of the writer or speaker. A variety of NLP areas engage with perspe…
What Is The Political Content in LLMs' Pre- and Post-Training Data?
Tanise Ceron, Dmitry Nikolaev, Dominik Stammbach +1
Large language models (LLMs) are known to generate politically biased text. Yet, it remains unclear how such biases arise, making it difficult to design effective mitigation strate…
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…
Toeing the Party Line: Election Manifestos as a Key to Understand Political Discourse on Twitter
Maximilian Maurer, Tanise Ceron, Sebastian Padó +1
Political discourse on Twitter is a moving target: politicians continuously make statements about their positions. It is therefore crucial to track their discourse on social media…
Beyond prompt brittleness: Evaluating the reliability and consistency of political worldviews in LLMs
Tanise Ceron, Neele Falk, Ana Barić +2
Due to the widespread use of large language models (LLMs), we need to understand whether they embed a specific "worldview" and what these views reflect. Recent studies report that,…