2 citations · 5 across the 8 of their papers we have counts for
8 papers
Machine Learning for Enhancing Deliberation in Online Political Discussions and Participatory Processes: A Survey
Maike Behrendt, Stefan Sylvius Wagner, Carina Weinmann +3
Political online participation in the form of discussing political issues and exchanging opinions among citizens is gaining importance with more and more formats being held digital…
MaxPoolBERT: Enhancing BERT Classification via Layer- and Token-Wise Aggregation
Maike Behrendt, Stefan Sylvius Wagner, Stefan Harmeling
The [CLS] token in BERT is commonly used as a fixed-length representation for classification tasks, yet prior work has shown that both other tokens and intermediate layers encode v…
Oh-A-DINO: Understanding and Enhancing Attribute-Level Information in Self-Supervised Object-Centric Representations
Stefan Sylvius Wagner, Stefan Harmeling
Object-centric understanding is fundamental to human vision and required for complex reasoning. Traditional methods define slot-based bottlenecks to learn object properties explici…
Supporting Online Discussions: Integrating AI Into the adhocracy+ Participation Platform To Enhance Deliberation
Maike Behrendt, Stefan Sylvius Wagner, Mira Warne +3
Online spaces provide individuals with the opportunity to engage in discussions on important topics and make collective decisions, regardless of their geographic location or time z…
The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions
Stefan Sylvius Wagner, Maike Behrendt, Marc Ziegele +1
Stance detection holds great potential to improve online political discussions through its deployment in discussion platforms for purposes such as content moderation, topic summari…
AQuA -- Combining Experts' and Non-Experts' Views To Assess Deliberation Quality in Online Discussions Using LLMs
Maike Behrendt, Stefan Sylvius Wagner, Marc Ziegele +4
Measuring the quality of contributions in political online discussions is crucial in deliberation research and computer science. Research has identified various indicators to asses…
SQBC: Active Learning using LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions
Stefan Sylvius Wagner, Maike Behrendt, Marc Ziegele +1
Stance detection is an important task for many applications that analyse or support online political discussions. Common approaches include fine-tuning transformer based models. Ho…
Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations
Stefan Sylvius Wagner, Stefan Harmeling
In this paper we adopt a representation-centric perspective on exploration in reinforcement learning, viewing exploration fundamentally as a density estimation problem. We investig…