Cover Image

Trust Sense: An Explainable AI System for Detecting Psychological Manipulation in News Content

Fuente: Zenodo

Saved in:

Bibliographic Details
Main Author:	hamrouni, hassen
Format:	Recurso digital
Published:	Zenodo 2026
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Trust Sense: An Explainable AI System for Detecting Psychological Manipulation in News Content
by: Hamrouni, Hassen
Published: (2026)

Trust Oriented Explainable AI for Fake News Detection
by: Siwek, Krzysztof, et al.
Published: (2026)

Preliminary Quantitative Study on Explainability and Trust in AI Systems
by: Sunny, Allen Daniel
Published: (2025)

Blockchain-Enabled Explainable AI for Trusted Healthcare Systems
by: Mohsin, Md Talha
Published: (2025)

Transparency Matters: Psychological Ownership and Trust as Mediators of Explainable Artificial Intelligence Effectiveness
by: Suresh Malodia, et al.
Published: (2026)

Is Trust Correlated With Explainability in AI? A Meta-Analysis
by: Atf, Zahra, et al.
Published: (2025)

A New Incentive Model For Content Trust
by: Barbosa, Lucas, et al.
Published: (2025)

Uncertainty Awareness and Trust in Explainable AI- On Trust Calibration using Local and Global Explanations
by: Newen, Carina, et al.
Published: (2025)

FNDEX: Fake News and Doxxing Detection with Explainable AI
by: Sallami, Dorsaf, et al.
Published: (2024)

Designing Explainable AI for Healthcare Reviews: Guidance on Adoption and Trust
by: Alamoudi, Eman, et al.
Published: (2026)

Trust in Transparency: How Explainable AI Shapes User Perceptions
by: Sunny, Allen Daniel
Published: (2025)

The Role of Explainable AI in Enhancing Trust and Transparency in Diabetes Prediction and Clinical Decision Support Systems
by: Dr.Darshan Madhani
Published: (2026)

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

Safeguarding Patient Trust in the Age of AI: Tackling Health Misinformation with Explainable AI
by: Hong, Sueun, et al.
Published: (2025)

Cognition Chain for Explainable Psychological Stress Detection on Social Media
by: Wang, Xin, et al.
Published: (2024)

Can Features for Phishing URL Detection Be Trusted Across Diverse Datasets? A Case Study with Explainable AI
by: Mia, Maraz, et al.
Published: (2024)

In System Alignments we Trust! Explainable Alignments via Projections
by: Sommers, Dominique, et al.
Published: (2025)

Psychological Factors Influencing University Students Trust in AI-Based Learning Assistants
by: Dağtekin, Ezgi, et al.
Published: (2025)

Beyond Accuracy: An Explainability-Driven Analysis of Harmful Content Detection
by: Dhara, Trishita, et al.
Published: (2026)

Detecting Manipulated Contents Using Knowledge-Grounded Inference
by: Meng, Mark Huasong, et al.
Published: (2025)

Integrity from Algebraic Manipulation Detection in Trusted-Repeater QKD Networks
by: Robertson, Ailsa, et al.
Published: (2026)

Too Much to Trust? Measuring the Security and Cognitive Impacts of Explainability in AI-Driven SOCs
by: Rastogi, Nidhi, et al.
Published: (2025)

Explainable AI For Early Detection Of Sepsis
by: Thakur, Atharva, et al.
Published: (2025)

“Saying is Believing”: Exploring the Importance of AI ‐Generated Content Disclosure and User Trust
by: Rui Wang, et al.
Published: (2025)

Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach
by: Hasan, Mohammad Mehadi, et al.
Published: (2025)

Explainability and AI Confidence in Clinical Decision Support Systems: Effects on Trust, Diagnostic Performance, and Cognitive Load in Breast Cancer Care
by: Rezaeian, Olya, et al.
Published: (2025)

Automated and Explainable Denial of Service Analysis for AI-Driven Intrusion Detection Systems
by: Yakubu, Paul Badu, et al.
Published: (2025)

Explainable AI the Latest Advancements and New Trends
by: Long, Bowen, et al.
Published: (2025)

TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support
by: Wang, Jie, et al.
Published: (2023)

Explainable AI for Blind and Low-Vision Users: Navigating Trust, Modality, and Interpretability in the Agentic Era
by: Sakib, Abu Noman Md, et al.
Published: (2026)

A Multi-Layered Research Framework for Human-Centered AI: Defining the Path to Explainability and Trust
by: De Silva, Chameera, et al.
Published: (2025)

MemTrust: A Zero-Trust Architecture for Unified AI Memory System
by: Zhou, Xing, et al.
Published: (2026)

Exploring Content and Social Connections of Fake News with Explainable Text and Graph Learning
by: Lourenço, Vítor N., et al.
Published: (2025)

Explainable AI in Big Data Fraud Detection
by: Jain, Ayush, et al.
Published: (2025)

How Can Explainable Artificial Intelligence Improve Trust and Transparency in Medical Diagnosis Systems?
by: Seitenov, Altynbek, et al.
Published: (2026)

Building Trust in Conversational AI: A Comprehensive Review and Solution Architecture for Explainable, Privacy-Aware Systems using LLMs and Knowledge Graph
by: Zafar, Ahtsham, et al.
Published: (2023)

What Motivates People to Trust 'AI' Systems?
by: Inie, Nanna
Published: (2024)

Interpersonal Reasoning: A Philosophical Psychology of Testimonial Trust
by: Berislav Marušić
Published: (2024)

Truth and Trust: Fake News Detection via Biosignals
by: Nguyen, Gennie, et al.
Published: (2025)

Bridging the Trust Gap: Clinician-Validated Hybrid Explainable AI for Maternal Health Risk Assessment in Bangladesh
by: Yesmin, Farjana, et al.
Published: (2026)