Cover Image

Identifying Fine-grained Forms of Populism in Political Discourse: A Case Study on Donald Trump's Presidential Campaigns

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chalkidis, Ilias, Brandl, Stephanie, Aslanidis, Paris
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Llama meets EU: Investigating the European Political Spectrum through the Lens of LLMs
by: Chalkidis, Ilias, et al.
Published: (2024)

Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024
by: Chalkidis, Ilias
Published: (2024)

Decoding Alignment: A Critical Survey of LLM Development Initiatives through Value-setting and Data-centric Lens
by: Chalkidis, Ilias
Published: (2025)

Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning
by: Saggau, Daniel, et al.
Published: (2023)

Quantifying the Uniqueness and Divisiveness of Presidential Discourse
by: Zhou, Karen, et al.
Published: (2024)

Brainrot: Deskilling and Addiction are Overlooked AI Risks
by: Chalkidis, Ilias, et al.
Published: (2026)

Online Anti-sexist Speech: Identifying Resistance to Gender Bias in Political Discourse
by: Dutta, Aditi, et al.
Published: (2025)

The Enemy from Within: A Study of Political Delegitimization Discourse in Israeli Political Speech
by: Rivlin-Angert, Naama, et al.
Published: (2025)

When Do Language Models Endorse Limitations on Human Rights Principles?
by: Samway, Keenan, et al.
Published: (2026)

MultiLegalPile: A 689GB Multilingual Legal Corpus
by: Niklaus, Joel, et al.
Published: (2023)

From Citations to Criticality: Predicting Legal Decision Influence in the Multilingual Swiss Jurisprudence
by: Stern, Ronja, et al.
Published: (2024)

LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain
by: Niklaus, Joel, et al.
Published: (2023)

WebQAmGaze: A Multilingual Webcam Eye-Tracking-While-Reading Dataset
by: Ribeiro, Tiago, et al.
Published: (2023)

Assessing the Applicability of Natural Language Processing to Traditional Social Science Methodology: A Case Study in Identifying Strategic Signaling Patterns in Presidential Directives
by: LeMay, C., et al.
Published: (2025)

Emotion Recognition for Low-Resource Turkish: Fine-Tuning BERTurk on TREMO and Testing on Xenophobic Political Discourse
by: Wicaksono, Darmawan, et al.
Published: (2025)

Narrative Media Framing in Political Discourse
by: Otmakhova, Yulia, et al.
Published: (2025)

Passing the Turing Test in Political Discourse: Fine-Tuning LLMs to Mimic Polarized Social Media Comments
by: Pazzaglia, ., et al.
Published: (2025)

Analyzing Biases in Political Dialogue: Tagging U.S. Presidential Debates with an Extended DAMSL Framework
by: Prahallad, Lavanya, et al.
Published: (2025)

Cultural Adaptation in Large Language Models for Political Discourse
by: Zaghouani, Wajdi
Published: (2026)

The Impact of Ideological Discourses in RAG: A Case Study with COVID-19 Treatments
by: Salari, Elmira, et al.
Published: (2026)

Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations
by: Brandl, Stephanie, et al.
Published: (2024)

Fine-Grained Evaluation for Implicit Discourse Relation Recognition
by: Cai, Xinyi
Published: (2025)

How Pragmatics Shape Articulation: A Computational Case Study in STEM ASL Discourse
by: Imai, Saki, et al.
Published: (2025)

Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMs
by: Sheffield, William, et al.
Published: (2025)

Elite Political Discourse has Become More Toxic in Western Countries
by: Törnberg, Petter, et al.
Published: (2025)

Can Large Language Models Handle Discourse Particles? A Case Study of Colloquial Malay
by: Yusoff, Mariah Al Giptiah Binte, et al.
Published: (2026)

FineDialFact: A benchmark for Fine-grained Dialogue Fact Verification
by: Chen, Xiangyan, et al.
Published: (2025)

Mapping the Political Discourse in the Brazilian Chamber of Deputies: A Multi-Faceted Computational Approach
by: Soriano, Flávio, et al.
Published: (2026)

MedReadMe: A Systematic Study for Fine-grained Sentence Readability in Medical Domain
by: Jiang, Chao, et al.
Published: (2024)

Sympathy over Polarization: A Computational Discourse Analysis of Social Media Posts about the July 2024 Trump Assassination Attempt
by: Zeng, Qingcheng, et al.
Published: (2025)

Who Attacks, and Why? Using LLMs to Identify Negative Campaigning in 18M Tweets across 19 Countries
by: Hartman, Victor, et al.
Published: (2025)

Interpretable Semantic Gradients in SSD: A PCA Sweep Approach and a Case Study on AI Discourse
by: Plisiecki, Hubert, et al.
Published: (2026)

Fine-Refine: Iterative Fine-grained Refinement for Mitigating Dialogue Hallucination
by: Chen, Xiangyan, et al.
Published: (2026)

They want to pretend not to understand: The Limits of Current LLMs in Interpreting Implicit Content of Political Discourse
by: Paci, Walter, et al.
Published: (2025)

Toeing the Party Line: Election Manifestos as a Key to Understand Political Discourse on Twitter
by: Maurer, Maximilian, et al.
Published: (2024)

JEBS: A Fine-grained Biomedical Lexical Simplification Task
by: Xia, William, et al.
Published: (2025)

Toward Automatic Filling of Case Report Forms: A Case Study on Data from an Italian Emergency Department
by: Kaczmarek, Gabriela Anna, et al.
Published: (2026)

Analysing Personal Attacks in U.S. Presidential Debates
by: Goyal, Ruban, et al.
Published: (2025)

The "Right" Discourse on Migration: Analysing Migration-Related Tweets in Right and Far-Right Political Movements
by: Chatterjee, Nishan, et al.
Published: (2025)

From Ground Trust to Truth: Disparities in Offensive Language Judgments on Contemporary Korean Political Discourse
by: Yu, Seunguk, et al.
Published: (2025)