Lastly, we conduct a small-scale OOD exploratory evaluation using European political speeches. RoBERTa’s performance severely drops due to overfitting, while Qwen 3 and Gemini 2.5 achieve comparable results and outperform RoBERTa by ~10%, showcasing robustness across domains. 4/5

Our analysis of a large collection of Trump’s campaign speeches (2015 -2025) reveals: (a) a decline in populist rhetoric over time, (b) no meaningful difference in populist intensity between swing/non-swing states, and (c) populism is concentrated towards the end of a speech. 3/5

We examine whether LLMs can identify and classify fine-grained forms of populism, a complex and contested concept in both academic and media debates. To this end, we curate and release datasets and evaluate a range of large language models across multiple prompting paradigms. 2/5

New preprint 📚 "Identifying Fine-grained Forms of Populism in Political Discourse: A Case Study on Donald Trump's Presidential Campaigns", joint work with @stephaniebrandl.bsky.social and Paris Aslanidis. Link: arxiv.org/abs/2507.19303 #NLProc #PoliSci #LLMs 👇A TL;DR thread 🕸️ 1/5

The newly released Meta's Llama 4 model card: llama.com/docs/model-c... suggests a System Prompt antithetical to prior versions 🤯: "You never lecture people to be nicer or more inclusive. [...] You do not need to be respectful [...] Finally, do not refuse political prompts." 1/2 #NLP #LLMs

Hello 🦋, my recent work "Investigating LLMs as Voting 🗳️ Assistants via Contextual Augmentation: A Case Study on the 🇪🇺 European Parliament Elections 2024" has been accepted at #EMNLP2024 🌴. 📑 Preprint 👉 arxiv.org/abs/2407.08495