:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Upravitelev, Max, Solopova, Veronika, Jakob, Charlott, Sahitaj, Premtim, Möller, Sebastian, Schmitt, Vera
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2603.22015
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multiperspectivity as a Resource for Narrative Similarity Prediction
by: Upravitelev, Max, et al.
Published: (2026)

Fine-tuning with Hierarchical Prompting for Robust Propaganda Classification Across Annotation Schemas
by: Stähelin, Lukas, et al.
Published: (2026)

Hybrid Annotation for Propaganda Detection: Integrating LLM Pre-Annotations with Human Intelligence
by: Sahitaj, Ariana, et al.
Published: (2025)

From Articles to Premises: Building PrimeFacts, an Extraction Methodology and Resource for Fact-Checking Evidence
by: Sahitaj, Premtim, et al.
Published: (2026)

XplaiNLP at CheckThat! 2025: Multilingual Subjectivity Detection with Finetuned Transformers and Prompt-Based Inference with Large Language Models
by: Sahitaj, Ariana, et al.
Published: (2025)

ClimateCheck 2026: Scientific Fact-Checking and Disinformation Narrative Classification of Climate-related Claims
by: Ahmad, Raia Abu, et al.
Published: (2026)

Uncovering Temporal Framing in the News
by: Mahmoud, Tarek, et al.
Published: (2026)

Towards Automated Fact-Checking of Real-World Claims: Exploring Task Formulation and Assessment with LLMs
by: Sahitaj, Premtim, et al.
Published: (2025)

What Are We Measuring in NLG? A Meta-Analysis of Evaluation Trends 2020-2025
by: Yang, Jing, et al.
Published: (2026)

Transparency as Architecture: Structural Compliance Gaps in EU AI Act Article 50 II
by: Schmitt, Vera, et al.
Published: (2026)

How desirable is alignment between LLMs and linguistically diverse human users?
by: Knoeferle, Pia, et al.
Published: (2025)

Online Density-Based Clustering for Real-Time Narrative Evolution Monitorin
by: Vykhopen, Ostap, et al.
Published: (2026)

PolBiX: Detecting LLMs' Political Bias in Fact-Checking through X-phemisms
by: Jakob, Charlott, et al.
Published: (2025)

Computational Measurement of Political Positions: A Review of Text-Based Ideal Point Estimation Algorithms
by: Parschan, Patrick, et al.
Published: (2025)

Check News in One Click: NLP-Empowered Pro-Kremlin Propaganda Detection
by: Solopova, Veronika, et al.
Published: (2024)

Gendered Prompting and LLM Code Review: How Gender Cues in the Prompt Shape Code Quality and Evaluation
by: Janzen, Lynn, et al.
Published: (2026)

From Trust to Truth: Actionable policies for the use of AI in fact-checking in Germany and Ukraine
by: Solopova, Veronika
Published: (2025)

MisinfoTeleGraph: Network-driven Misinformation Detection for German Telegram Messages
by: Kalkbrenner, Lu, et al.
Published: (2025)

Trust in Disinformation Narratives: a Trust in the News Experiment
by: Song, Hanbyul, et al.
Published: (2025)

LLMs as Strategic Actors: Behavioral Alignment, Risk Calibration, and Argumentation Framing in Geopolitical Simulations
by: Solopova, Veronika, et al.
Published: (2026)

Narratives at Conflict: Computational Analysis of News Framing in Multilingual Disinformation Campaigns
by: Sinelnik, Antonina, et al.
Published: (2024)

ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread
by: Vasilakes, Jake, et al.
Published: (2024)

Anchored Alignment for Self-Explanations Enhancement
by: Villa-Arenas, Luis Felipe, et al.
Published: (2024)

Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem
by: Wang, Qianli, et al.
Published: (2024)

Indexing and Visualization of Climate Change Narratives Using BERT and Causal Extraction
by: Sakaji, Hiroki, et al.
Published: (2024)

FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
by: Wang, Qianli, et al.
Published: (2025)

Truth or Twist? Optimal Model Selection for Reliable Label Flipping Evaluation in LLM-based Counterfactuals
by: Wang, Qianli, et al.
Published: (2025)

Can Large Language Models Still Explain Themselves? Investigating the Impact of Quantization on Self-Explanations
by: Wang, Qianli, et al.
Published: (2026)

Disinformation Capabilities of Large Language Models
by: Vykopal, Ivan, et al.
Published: (2023)

Through a Compressed Lens: Investigating The Impact of Quantization on Factual Knowledge Recall
by: Wang, Qianli, et al.
Published: (2025)

Multilingual Datasets for Custom Input Extraction and Explanation Requests Parsing in Conversational XAI Systems
by: Wang, Qianli, et al.
Published: (2025)

VLDBench Evaluating Multimodal Disinformation with Regulatory Alignment
by: Raza, Shaina, et al.
Published: (2025)

Extending Information Bottleneck Attribution to Video Sequences
by: Solopova, Veronika, et al.
Published: (2025)

Experimenting AI Technologies for Disinformation Combat: the IDMO Project
by: Canale, Lorenzo, et al.
Published: (2023)

Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation
by: Wang, Qianli, et al.
Published: (2026)

Enhancing Disinformation Detection with Explainable AI and Named Entity Replacement
by: González-Silot, Santiago, et al.
Published: (2025)

Listen to the Context: Towards Faithful Large Language Models for Retrieval Augmented Generation on Climate Questions
by: Thulke, David, et al.
Published: (2025)

Evaluation of a Sign Language Avatar on Comprehensibility, User Experience \& Acceptability
by: Wasserroth, Fenya, et al.
Published: (2025)

SCORE: Story Coherence and Retrieval Enhancement for AI Narratives
by: Yi, Qiang, et al.
Published: (2025)

Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation
by: Zugecova, Aneta, et al.
Published: (2024)