1 citations · 2 across the 2 of their papers we have counts for
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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…