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20232026
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cs.CL2026

GeopoliticalQA: Benchmarking Retrieval and Generation over Intelligence Reports

Veronika Solopova, Ivan Havlytskyi, Viktoria Skorik +1

Geopolitical and strategic intelligence reports constitute a rich source of expert knowledge and have increasing value in the current political climate, but their heterogeneity and…

cs.CL2026

From Repetition to Recognition: Inductive Discovery of Disinformation Narratives

Max Upravitelev, Veronika Solopova, Jing Yang +4

In disinformation datasets, narratives are often understood as recurring interpretive patterns that group texts under narrative labels. Recent work formalized narrative mining as i…

cs.CL2026

Graph-Based Detection of Disinformation Narrative Diffusion between Russian and Ukrainian Telegram Channels

Yuliia Vistak, Viktoriia Makovska, Vera Schmitt +1

Detecting disinformation narratives on social media is challenging due to the scale of amplification, rapid evolution, and linguistic variability of online content. We propose a gr…

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

ClimateCheck 2026: Scientific Fact-Checking and Disinformation Narrative Classification of Climate-related Claims

Raia Abu Ahmad, Max Upravitelev, Aida Usmanova +2

Automatically verifying climate-related claims against scientific literature is a challenging task, complicated by the specialised nature of scholarly evidence and the diversity of…

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.CL2026

LLMs as Strategic Actors: Behavioral Alignment, Risk Calibration, and Argumentation Framing in Geopolitical Simulations

Veronika Solopova, Viktoria Skorik, Maksym Tereshchenko +2

Large language models (LLMs) are increasingly proposed as agents in strategic decision environments, yet their behavior in structured geopolitical simulations remains under-researc…

cs.CL2026

Online Density-Based Clustering for Real-Time Narrative Evolution Monitorin

Ostap Vykhopen, Viktoria Skorik, Maksym Tereshchenko +1

Automated narrative intelligence systems for social media monitoring face significant scalability challenges when relying on batch clustering methods to process continuous data str…

cs.CL2026

What Are We Measuring in NLG? A Meta-Analysis of Evaluation Trends 2020-2025

Jing Yang, Nils Feldhus, Salar Mohtaj +10

As Natural Language Generation (NLG) dominates modern NLP, scalable evaluation remains a critical bottleneck. Consequently, LLM-as-a-judge (LaaJ) adoption has accelerated rapidly,…

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…

cs.CL2025

Hybrid Annotation for Propaganda Detection: Integrating LLM Pre-Annotations with Human Intelligence

Ariana Sahitaj, Premtim Sahitaj, Veronika Solopova +3

Propaganda detection on social media remains challenging due to task complexity and limited high-quality labeled data. This paper introduces a novel framework that combines human e…

cs.CL2025

MisinfoTeleGraph: Network-driven Misinformation Detection for German Telegram Messages

Lu Kalkbrenner, Veronika Solopova, Steffen Zeiler +2

Connectivity and message propagation are central, yet often underutilized, sources of information in misinformation detection -- especially on poorly moderated platforms such as Te…

cs.CL2025

How desirable is alignment between LLMs and linguistically diverse human users?

Pia Knoeferle, Sebastian Möller, Dorothea Kolossa +2

We discuss how desirable it is that Large Language Models (LLMs) be able to adapt or align their language behavior with users who may be diverse in their language use. User diversi…

cs.CL2024

Check News in One Click: NLP-Empowered Pro-Kremlin Propaganda Detection

Veronika Solopova, Viktoriia Herman, Christoph Benzmüller +1

Many European citizens become targets of the Kremlin propaganda campaigns, aiming to minimise public support for Ukraine, foster a climate of mistrust and disunity, and shape elect…

cs.CL2023

Automated multilingual detection of Pro-Kremlin propaganda in newspapers and Telegram posts

Veronika Solopova, Oana-Iuliana Popescu, Christoph Benzmüller +1

The full-scale conflict between the Russian Federation and Ukraine generated an unprecedented amount of news articles and social media data reflecting opposing ideologies and narra…