Papers by Paris Aslanidis

1 papers
Identifying Fine-grained Forms of Populism in Political Discourse: A Case Study on Donald Trump’s Presidential Campaigns (2026.eacl-long)

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Challenge: Large Language Models excel in a wide range of instruction-following tasks, but their grasp of social science concepts remains underexplored.
Approach: They evaluate pre-trained large language models to identify populist discourse . they use a RoBERTa classifier to analyze campaign speeches by Donald Trump .
Outcome: The proposed model outperforms all new-era instruction-tuned LLMs on populist discourse analysis.

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