Copertina

Maintaining Journalistic Integrity in the Digital Age: A Comprehensive NLP Framework for Evaluating Online News Content

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bojic, Ljubisa, Prodanovic, Nikola, Samala, Agariadne Dwinggo
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

The Dual Impact of Virtual Reality: Examining the Addictive Potential and Therapeutic Applications of Immersive Media in the Metaverse
di: Bojic, Ljubisa, et al.
Pubblicazione: (2024)

Does GPT-4 surpass human performance in linguistic pragmatics?
di: Bojic, Ljubisa, et al.
Pubblicazione: (2023)

Personality testing of Large Language Models: Limited temporal stability, but highlighted prosociality
di: Bodroza, Bojana, et al.
Pubblicazione: (2023)

Evaluating Large Language Models Against Human Annotators in Latent Content Analysis: Sentiment, Political Leaning, Emotional Intensity, and Sarcasm
di: Bojic, Ljubisa, et al.
Pubblicazione: (2025)

LLM Agents Predict Social Media Reactions but Do Not Outperform Text Classifiers: Benchmarking Simulation Accuracy Using 120K+ Personas of 1511 Humans
di: Bojic, Ljubisa, et al.
Pubblicazione: (2026)

CERN for AI: A Theoretical Framework for Autonomous Simulation-Based Artificial Intelligence Testing and Alignment
di: Bojic, Ljubisa, et al.
Pubblicazione: (2023)

From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot Contexts
di: Košprdić, Miloš, et al.
Pubblicazione: (2023)

Towards New Benchmark for AI Alignment & Sentiment Analysis in Socially Important Issues: A Comparative Study of Human and LLMs in the Context of AGI
di: Bojic, Ljubisa, et al.
Pubblicazione: (2025)

Use of AI Tools: Guidelines to Maintain Academic Integrity in Computing Colleges
di: El-boghdadi, Hatem M., et al.
Pubblicazione: (2026)

Towards Recommender Systems LLMs Playground (RecSysLLMsP): Exploring Polarization and Engagement in Simulated Social Networks
di: Bojic, Ljubisa, et al.
Pubblicazione: (2025)

Evaluation Metrics for Text Data Augmentation in NLP
di: Amadeus, Marcellus, et al.
Pubblicazione: (2024)

Select, Label, Evaluate: Active Testing in NLP
di: Purificato, Antonio, et al.
Pubblicazione: (2026)

GhanaNLP Parallel Corpora: Comprehensive Multilingual Resources for Low-Resource Ghanaian Languages
di: Gyamfi, Lawrence Adu, et al.
Pubblicazione: (2026)

Developing and Maintaining an Open-Source Repository of AI Evaluations: Challenges and Insights
di: Abbas, Alexandra, et al.
Pubblicazione: (2025)

EvalxNLP: A Framework for Benchmarking Post-Hoc Explainability Methods on NLP Models
di: Dhaini, Mahdi, et al.
Pubblicazione: (2025)

Advancing NLP Models with Strategic Text Augmentation: A Comprehensive Study of Augmentation Methods and Curriculum Strategies
di: Kesgin, Himmet Toprak, et al.
Pubblicazione: (2024)

Is there really a Citation Age Bias in NLP?
di: Nguyen, Hoa, et al.
Pubblicazione: (2024)

AISafetyLab: A Comprehensive Framework for AI Safety Evaluation and Improvement
di: Zhang, Zhexin, et al.
Pubblicazione: (2025)

Socio-Culturally Aware Evaluation Framework for LLM-Based Content Moderation
di: Kumar, Shanu, et al.
Pubblicazione: (2024)

Evaluating Progress in Graph Foundation Models: A Comprehensive Benchmark and New Insights
di: Yu, Xingtong, et al.
Pubblicazione: (2026)

The Pitfalls of Publishing in the Age of LLMs: Strange and Surprising Adventures with a High-Impact NLP Journal
di: Verma, Rakesh M., et al.
Pubblicazione: (2024)

ERAS: Evaluating the Robustness of Chinese NLP Models to Morphological Garden Path Errors
di: Li, Qinchan, et al.
Pubblicazione: (2024)

CUICurate: A GraphRAG-based Framework for Automated Clinical Concept Curation for NLP applications
di: Blake, Victoria, et al.
Pubblicazione: (2026)

State of NLP in Kenya: A Survey
di: Amol, Cynthia Jayne, et al.
Pubblicazione: (2024)

SMART-Editor: A Multi-Agent Framework for Human-Like Design Editing with Structural Integrity
di: Mondal, Ishani, et al.
Pubblicazione: (2025)

MPCI-Bench: A Benchmark for Multimodal Pairwise Contextual Integrity Evaluation of Language Model Agents
di: Wang, Shouju, et al.
Pubblicazione: (2026)

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity
di: Najjar, Ayat A., et al.
Pubblicazione: (2025)

Towards Reliable Detection of LLM-Generated Texts: A Comprehensive Evaluation Framework with CUDRT
di: Tao, Zhen, et al.
Pubblicazione: (2024)

Optimizing Sentence Embedding with Pseudo-Labeling and Model Ensembles: A Hierarchical Framework for Enhanced NLP Tasks
di: Liu, Ziwei, et al.
Pubblicazione: (2025)

RLAP: A Reinforcement Learning Enhanced Adaptive Planning Framework for Multi-step NLP Task Solving
di: Ding, Zepeng, et al.
Pubblicazione: (2025)

Less Context, Same Performance: A RAG Framework for Resource-Efficient LLM-Based Clinical NLP
di: Cheetirala, Satya Narayana, et al.
Pubblicazione: (2025)

On the Evaluation Practices in Multilingual NLP: Can Machine Translation Offer an Alternative to Human Translations?
di: Choenni, Rochelle, et al.
Pubblicazione: (2024)

NLP Security and Ethics, in the Wild
di: Lent, Heather, et al.
Pubblicazione: (2025)

Taming LLMs with Negative Samples: A Reference-Free Framework to Evaluate Presentation Content with Actionable Feedback
di: Muppidi, Ananth, et al.
Pubblicazione: (2025)

Charting the European LLM Benchmarking Landscape: A New Taxonomy and a Set of Best Practices
di: Vintar, Špela, et al.
Pubblicazione: (2025)

NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers
di: Greco, Salvatore, et al.
Pubblicazione: (2024)

JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework
di: Liu, Fan, et al.
Pubblicazione: (2024)

An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating
di: Khaniki, Mohammad Ali Labbaf, et al.
Pubblicazione: (2025)

SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector
di: Lee, Kyeongryul, et al.
Pubblicazione: (2025)

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches
di: Sarraf, Saman
Pubblicazione: (2024)