Copertina

Clickbait detection: quick inference with maximum impact

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kuntur, Soveatin, Ningrum, Panggih Kusuma, Wróblewska, Anna, Ganzha, Maria, Paprzycki, Marcin
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Fake News Detection: It's All in the Data!
di: Kuntur, Soveatin, et al.
Pubblicazione: (2024)

Graph Neural Networks for Misinformation Detection: Performance-Efficiency Trade-offs
di: Kuntur, Soveatin, et al.
Pubblicazione: (2026)

Click it or Leave it: Detecting and Spoiling Clickbait with Informativeness Measures and Large Language Models
di: Michaluk, Wojciech, et al.
Pubblicazione: (2026)

Deepfake tweets automatic detection
di: Frej, Adam, et al.
Pubblicazione: (2024)

Applying Text Mining to Analyze Human Question Asking in Creativity Research
di: Wróblewska, Anna, et al.
Pubblicazione: (2025)

Rewrite the News: Tracing Editorial Reuse Across News Agencies
di: Kuntur, Soveatin, et al.
Pubblicazione: (2026)

Annotating Scientific Uncertainty: A comprehensive model using linguistic patterns and comparison with existing approaches
di: Ningrum, Panggih Kusuma, et al.
Pubblicazione: (2025)

Enriching language models with graph-based context information to better understand textual data
di: Roethel, Albert, et al.
Pubblicazione: (2023)

RDF Stream Taxonomy: Systematizing RDF Stream Types in Research and Practice
di: Sowinski, Piotr, et al.
Pubblicazione: (2023)

Exploring usability of Reddit in data science and knowledge processing
di: Sawicki, Jan, et al.
Pubblicazione: (2021)

An Interpretable Benchmark for Clickbait Detection and Tactic Attribution
di: Nofar, Lihi, et al.
Pubblicazione: (2025)

Investigating large language models for their competence in extracting grammatically sound sentences from transcribed noisy utterances
di: Wróblewska, Alina
Pubblicazione: (2024)

Prompt-tuning for Clickbait Detection via Text Summarization
di: Deng, Haoxiang, et al.
Pubblicazione: (2024)

Clickbait Detection via Large Language Models
di: Wang, Han, et al.
Pubblicazione: (2023)

What Makes You CLIC: Detection of Croatian Clickbait Headlines
di: Anđelić, Marija, et al.
Pubblicazione: (2025)

Emotion-Aware Clickbait Attack in Social Media
di: Hasan, Syed Mhamudul, et al.
Pubblicazione: (2026)

ClickGuard: A Trustworthy Adaptive Fusion Framework for Clickbait Detection
di: Dhiman, Chhavi, et al.
Pubblicazione: (2026)

Mitigating Clickbait: An Approach to Spoiler Generation Using Multitask Learning
di: Pal, Sayantan, et al.
Pubblicazione: (2024)

NoticIA: A Clickbait Article Summarization Dataset in Spanish
di: García-Ferrero, Iker, et al.
Pubblicazione: (2024)

Integrating gender inclusivity into large language models via instruction tuning
di: Wróblewska, Alina, et al.
Pubblicazione: (2025)

LLM Essay Scoring Under Holistic and Analytic Rubrics: Prompt Effects and Bias
di: Kucia, Filip J., et al.
Pubblicazione: (2026)

Evaluating LLM-Generated Q&A Test: a Student-Centered Study
di: Wróblewska, Anna, et al.
Pubblicazione: (2025)

Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning
di: Danilenka, Anastasiya, et al.
Pubblicazione: (2024)

On the Effectiveness of LLM-Specific Fine-Tuning for Detecting AI-Generated Text
di: Gromadzki, Michał, et al.
Pubblicazione: (2026)

Acting Flatterers via LLMs Sycophancy: Combating Clickbait with LLMs Opposing-Stance Reasoning
di: Zhang, Chaowei, et al.
Pubblicazione: (2026)

Te Ahorré Un Click: A Revised Definition of Clickbait and Detection in Spanish News
di: Mordecki, Gabriel, et al.
Pubblicazione: (2025)

NLPre: a revised approach towards language-centric benchmarking of Natural Language Preprocessing systems
di: Wiącek, Martyna, et al.
Pubblicazione: (2024)

Intelligent Interface: Enhancing Lecture Engagement with Didactic Activity Summaries
di: Wróblewska, Anna, et al.
Pubblicazione: (2024)

Overview of Current Challenges in Multi-Architecture Software Engineering and a Vision for the Future
di: Sowinski, Piotr, et al.
Pubblicazione: (2024)

Well, that escalated quickly: The Single-Turn Crescendo Attack (STCA)
di: Aqrawi, Alan, et al.
Pubblicazione: (2024)

Optimizing delivery for quick commerce factoring qualitative assessment of generated routes
di: Bhattacharya, Milon, et al.
Pubblicazione: (2025)

EnergyTwin: A Multi-Agent System for Simulating and Coordinating Energy Microgrids
di: Muszyński, Jakub, et al.
Pubblicazione: (2025)

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems
di: Bădică, Costin, et al.
Pubblicazione: (2025)

Comparative Analysis of AutoML and BiLSTM Models for Cyberbullying Detection on Indonesian Instagram Comments
di: Putri, Raihana Adelia, et al.
Pubblicazione: (2026)

Parametric Knowledge is Not All You Need: Toward Honest Large Language Models via Retrieval of Pretraining Data
di: Kusuma, Christopher Adrian, et al.
Pubblicazione: (2026)

From Surface Learning to Deep Understanding: A Grounded AI Tutoring System for Moodle
di: Ostrowska, Anna, et al.
Pubblicazione: (2026)

Mining United Nations General Assembly Debates
di: Grzyb, Mateusz, et al.
Pubblicazione: (2024)

Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models
di: Bhattacharya, Prasanta, et al.
Pubblicazione: (2025)

Explaining word embeddings with perfect fidelity: Case study in research impact prediction
di: Dvorackova, Lucie, et al.
Pubblicazione: (2024)

Emergent Inference-Time Semantic Contamination via In-Context Priming
di: Abram, Marcin
Pubblicazione: (2026)