https://github.com/SindhuMadi/FakeNewsDetection
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
Papers with Code 아카이브
Fake News Detection
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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.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Tawkat/Fake-News-Detection
A Benchmark Study of Machine Learning Models for Online Fake News Detection
https://github.com/UNHSAILLab/Sentimental-LIAR-Extended-Corpus-and-Deep-Learning-Models-for-Fake-Claim-Classification
Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification
https://github.com/YingtongDou/GCNN
Fake News Detection on Social Media using Geometric Deep Learning
https://github.com/agermanidis/OpenGPT-2
https://github.com/amritabh/chatgpt-as-detector
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
https://github.com/amritabh/conda-gen-text-detection
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
https://github.com/anguyen120/fake-news-in-time
Check-It: A Plugin for Detecting and Reducing the Spread of Fake News and Misinformation on the Web
https://github.com/ankitp544/stance_detection
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
https://github.com/ayush714/Covid-19-Fake-News-Detection-System-
Transformer based Automatic COVID-19 Fake News Detection System
https://github.com/bedarkarpriyanka/NLP-Project-Fake-News-Detection
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
https://github.com/bekou/evidence_aware_nlp4if
https://github.com/cair/PyTsetlinMachineCUDA
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/cair/TsetlinMachine
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/cair/pyTsetlinMachine
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/cair/pyTsetlinMachineMT
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/cair/pyTsetlinMachineParallel
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/chimera-detector/Extension
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
https://github.com/chimera-detector/Server
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
https://github.com/chimera-detector/experienceExtension
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
https://github.com/chuanqichen/FakeNewsDetection
r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection
https://github.com/ckinateder/pytsetlinmachineparallel
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/code-implementation1/Code9/tree/main/gat
https://github.com/complexdata-mila/mitigatemisinfo
The Surprising Performance of Simple Baselines for Misinformation Detection
https://github.com/declare-lab/sancl
Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News
https://github.com/dt024/RIVF2021_fakenews
Multimodal Fusion with BERT and Attention Mechanism for Fake News Detection
https://github.com/ekagra-ranjan/fake-news-detection-LIAR-pytorch
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
https://github.com/enzomuschik/distilfnd
r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection
https://github.com/fakenewsdetection/fakebuster
Fake News Detection on Social Media: A Data Mining Perspective
https://github.com/gabrielsaruhashi/anti-fake
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
https://github.com/gordicaleksa/pytorch-GAT
Fake News Detection on Social Media using Geometric Deep Learning
https://github.com/harshita97/hoaxbait
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
https://github.com/imran3180/pytorch-nli
https://github.com/jwzhanggy/DifNet
FAKEDETECTOR: Effective Fake News Detection with Deep Diffusive Neural Network
https://github.com/kiranrawat/Detecting-Fake-News-On-Social-Media
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
https://github.com/kyriezoe/Fake_News_Detection
Fake News Detection via NLP is Vulnerable to Adversarial Attacks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.