
Prompting strategies can narrow the gap in deceptive power between LLM-generated fake news with and without human assistance.


coremsg

exploring-the-deceptive-power-of-llm-generated-fake-news-detection-challenges


Exploring the Deceptive Power of LLM-Generated Fake News: Detection Challenges


title_rewrite


Das FADE-Framework verbessert die Fake News Detection auf Social Media durch adaptive Augmentation und Debiasing.


analyse-von-fake-news-detection-auf-social-media-mit-fade-framework


Analyse von Fake News Detection auf Social Media mit FADE Framework



다양한 도메인에 대한 도메인별 프롬프트 튜닝을 통한 다중 모달 가짜 뉴스 감지


dpod-domain-specific-prompt-tuning-for-multimodal-fake-news-detection


DPOD: Domain-Specific Prompt Tuning for Multimodal Fake News Detection



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.


detecting-fake-news-using-heterogeneous-subgraph-transformer


Detecting Fake News Using Heterogeneous Subgraph Transformer
