most citedTransparency as Architecture: Structural Compliance Gaps in EU AI Act Article 50 II

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cs.CL2026

Uncovering Temporal Framing in the News

Tarek Mahmoud, Veronika Solopova, Premtim Sahitaj +7

Temporal language does more than place events on a timeline. In news discourse, references to the past, present, and future can function as rhetorical devices that shape interpreta…

cs.CL2026

Fine-tuning with Hierarchical Prompting for Robust Propaganda Classification Across Annotation Schemas

Lukas Stähelin, Veronika Solopova, Max Upravitelev +6

Propaganda detection in social media is challenging due to noisy, short texts and low annotation agreements. We introduce a new intent-focused taxonomy of propaganda techniques and…

cs.CL2026

From Articles to Premises: Building PrimeFacts, an Extraction Methodology and Resource for Fact-Checking Evidence

Premtim Sahitaj, Jawan Kolanowski, Ariana Sahitaj +7

Fact-checking articles encode rich supporting evidence and reasoning, yet this evidence remains largely inaccessible to automated verification systems due to unstructured presentat…

cs.CL2026

Retrieving Climate Change Disinformation by Narrative

Max Upravitelev, Veronika Solopova, Charlott Jakob +3

Detecting climate disinformation narratives typically relies on fixed taxonomies, which do not accommodate emerging narratives. Thus, we re-frame narrative detection as a retrieval…

cs.CL2026

Multiperspectivity as a Resource for Narrative Similarity Prediction

Max Upravitelev, Veronika Solopova, Jing Yang +4

Predicting narrative similarity can be understood as an inherently interpretive task: different, equally valid readings of the same text can produce divergent interpretations and t…

cs.CL2025

XplaiNLP at CheckThat! 2025: Multilingual Subjectivity Detection with Finetuned Transformers and Prompt-Based Inference with Large Language Models

Ariana Sahitaj, Jiaao Li, Pia Wenzel Neves +5

This notebook reports the XplaiNLP submission to the CheckThat! 2025 shared task on multilingual subjectivity detection. We evaluate two approaches: (1) supervised fine-tuning of t…