https://github.com/uclmr/fakenewschallenge
공식 코드A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
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.
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
TieFake: Title-Text Similarity and Emotion-Aware Fake News Detection
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Explainable Fake News Detection With Large Language Model via Defense Among Competing Wisdom
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Cross-modal Contrastive Learning for Multimodal Fake News Detection
Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks
AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News Detection
Weak Supervision for Fake News Detection via Reinforcement Learning
Bootstrapping Multi-view Representations for Fake News Detection
Modality Interactive Mixture-of-Experts for Fake News Detection
Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning
Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection
Enhancing Fake News Detection in Social Media via Label Propagation on Cross-modal Tweet Graph
Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles
TI-CNN: Convolutional Neural Networks for Fake News Detection
A Deep Learning Approach for Automatic Detection of Fake News
Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
TI-CNN: Convolutional Neural Networks for Fake News Detection
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
Fake News Detection on Social Media: A Data Mining Perspective
Fake News Detection on Social Media: A Data Mining Perspective
Fake News Detection on Social Media: A Data Mining Perspective
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
Fake News Detection on Social Media: A Data Mining Perspective
Fake News Detection on Social Media: A Data Mining Perspective
Transformer based Automatic COVID-19 Fake News Detection System
Fake News Detection on Social Media: A Data Mining Perspective
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.