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insight - Fake News Detection
Exploring the Deceptive Power of LLM-Generated Fake News: Detection Challenges
Prompting strategies can narrow the gap in deceptive power between LLM-generated fake news with and without human assistance.
Analyse von Fake News Detection auf Social Media mit FADE Framework
Das FADE-Framework verbessert die Fake News Detection auf Social Media durch adaptive Augmentation und Debiasing.
DPOD: Domain-Specific Prompt Tuning for Multimodal Fake News Detection
다양한 도메인에 대한 도메인별 프롬프트 튜닝을 통한 다중 모달 가짜 뉴스 감지
Detecting Fake News Using Heterogeneous Subgraph Transformer
Fake news can be effectively detected by analyzing the atypical heterogeneous subgraphs centered on them, which encapsulate the essential semantics and intricate relations between news elements.
Combating Fake News in Amharic: A Hybrid Approach Using Explainable AI
Integrating social context features with news content features enhances the accuracy of fake news detection in under-resourced languages, particularly Amharic.
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