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metadata
language: en
pipeline_tag: text-classification
license: cc-by-sa-4.0
tags:
  - populism
  - politics
model-index:
  - name: coastalcph/roberta-large-ft-trump-populism
    results: []
widget:
  - text: >-
      Most importantly, we are going to take power back from the political class
      in Washington and return that power to you, the American people.
  - text: >-
      She's totally bought and paid for by Wall Street, the special interests,
      the lobbyists, 100 percent.
datasets:
  - coastalcph/populism-trump-2016
base_model:
  - FacebookAI/roberta-large

RoBERTa (Large) fine-tuned on Donald Trump's speeches with populism tags

This model is released as part of "Identifying Fine-grained Forms of Populism in Political Discourse: A Case Study on Donald Trump’s Presidential Campaigns" (Chalkidis et al., 2025). The model was fine-tuned from RoBERTa large (https://huggingface.co/FacebookAI/roberta-large) using the Donald Trump Populism 2016 dataset (https://huggingface.co/datasets/coastalcph/populism-trump-2016).

Intended uses & limitations

The intended use is for academic research for the identification of fine-grained forms of populism

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • seed: 42
  • total_train_batch_size: 64
  • total_eval_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.05
  • n_epochs: 3

Framework versions

  • Transformers 4.33.1
  • Pytorch 1.12.0+cu102
  • Datasets 2.14.5
  • Tokenizers 0.13.3

Citation Information

Identifying Fine-grained Forms of Populism in Political Discourse: A Case Study on Donald Trump’s Presidential Campaigns. Ilias Chalkidis, Stephanie Brandl, and Paris Aslanidis. Arxiv Preprint, 2025.

@misc{chalkidis-et-al-2025-populism,
    title = "Identifying Fine-grained Forms of Populism in Political Discourse: A Case Study on Donald Trump’s Presidential Campaigns",
    author = "Chalkidis, Ilias and Brandl, Stephanie and Aslanidis, Paris",
    year = "2025",
    archivePrefix={arXiv},
    primaryClass={cs.CL},
    url={https://arxiv.org/abs/2507.19303}
}