1 citations · 2 across the 11 of their papers we have counts for
11 papers
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…
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…
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,…
Multilingual estimation of political-party positioning: From label aggregation to long-input Transformers
Dmitry Nikolaev, Tanise Ceron, Sebastian Padó
Scaling analysis is a technique in computational political science that assigns a political actor (e.g. politician or party) a score on a predefined scale based on a (typically lon…
Additive manifesto decomposition: A policy domain aware method for understanding party positioning
Tanise Ceron, Dmitry Nikolaev, Sebastian Padó
Automatic extraction of party (dis)similarities from texts such as party election manifestos or parliamentary speeches plays an increasing role in computational political science.…
Optimizing text representations to capture (dis)similarity between political parties
Tanise Ceron, Nico Blokker, Sebastian Padó
Even though fine-tuned neural language models have been pivotal in enabling "deep" automatic text analysis, optimizing text representations for specific applications remains a cruc…