https://github.com/ictmcg/arg
공식 코드Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Fake News Detection is a natural language processing task that involves identifying and classifying news articles or other types of text as real or fake. The goal of fake news detection is to develop algorithms that can automatically identify and flag fake news articles, which can be used to combat misinformation and promote the dissemination of accurate information.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection
Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection
Zoom Out and Observe: News Environment Perception for Fake News Detection
Exploring news intent and its application: A theory-driven approach
Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning
Reliability Estimation of News Media Sources: Birds of a Feather Flock Together
A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News
ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information
Does It Make Sense to Explain a Black Box With Another Black Box?
Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method
Localization of Fake News Detection via Multitask Transfer Learning
Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection
Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks
Hostility Detection in Hindi leveraging Pre-Trained Language Models
BanMANI: A Dataset to Identify Manipulated Social Media News in Bangla
Is Less Really More? Fake News Detection with Limited Information
Fake News Detection in Spanish Using Deep Learning Techniques
Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation
Enhancing Rhetorical Figure Annotation: An Ontology-Based Web Application with RAG Integration
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media
KGAlign: Joint Semantic-Structural Knowledge Encoding for Multimodal Fake News Detection
TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models
Interpretable Fake News Detection with Topic and Deep Variational Models
Adapting Fake News Detection to the Era of Large Language Models
MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions
GAME-ON: Graph Attention Network based Multimodal Fusion for Fake News Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.