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Fake News Detection

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보존된 평가 기록: 31

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/Ahren09/FinerFact

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Towards Fine-Grained Reasoning for Fake News Detection

https://github.com/Arstanley/fakenews_pscore_match

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Improving Generalizability of Fake News Detection Methods using Propensity Score Matching

https://github.com/Babakbehkamkia/GPT-Stance-Detection

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Zero-Shot Stance Detection using Contextual Data Generation with LLMs

https://github.com/CRIPAC-DIG/GET

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Evidence-aware Fake News Detection with Graph Neural Networks

https://github.com/ComplexData-MILA/misinfo-baselines

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The Surprising Performance of Simple Baselines for Misinformation Detection

https://github.com/DS4AI-UPB/GETAE

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GETAE: Graph information Enhanced deep neural NeTwork ensemble ArchitecturE for fake news detection

https://github.com/DS4AI-UPB/It-s-all-in-the-Embedding

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It's All in the Embedding! Fake News Detection Using Document Embeddings

https://github.com/DebanjanaKar/Covid19_FakeNews_Detection

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No Rumours Please! A Multi-Indic-Lingual Approach for COVID Fake-Tweet Detection

https://github.com/EduardoGarrido90/prob_causal_graphs_fake_news

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Fake News Detection by means of Uncertainty Weighted Causal Graphs

https://github.com/EnyanDai/FakeHealth

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Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository

https://github.com/FrossoPap/class-cp

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Tensor Factorization with Label Information for Fake News Detection

https://github.com/ICTMCG/DITFEND

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Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer

https://github.com/ICTMCG/GenFEND

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Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models

https://github.com/JibranFawaid/turnbackhoax-dataset

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Indonesia's Fake News Detection using Transformer Network

https://github.com/Jindi0/SAFE

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SAFE: Similarity-Aware Multi-Modal Fake News Detection

https://github.com/KaiDMML/FakeNewsNet

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Fake News Detection on Social Media: A Data Mining Perspective

https://github.com/LCS2-IIITD/Hyphen

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Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification

https://github.com/LuisPB7/fnc-msc

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Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News

https://github.com/NYU-FNC/FakeNewsChallenge

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Debunking Fake News One Feature at a Time

https://github.com/RMSnow/WWW2021

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Mining Dual Emotion for Fake News Detection

https://github.com/Rowan1697/FakeNews

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BanFakeNews: A Dataset for Detecting Fake News in Bangla

https://github.com/TSCenter/GLPN-LLM

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Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection

https://github.com/UBC-NLP/wanlp2020_arabic_fake_news_detection

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Machine Generation and Detection of Arabic Manipulated and Fake News

https://github.com/UKPLab/mdl-stance-robustness

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Stance Detection Benchmark: How Robust Is Your Stance Detection?

https://github.com/UNHSAILLab/SentimentalLIAR

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Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification

https://github.com/ZuyiZhou/Awesome-Interpretable-Cross-modal-Reasoning

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A Survey on Interpretable Cross-modal Reasoning

https://github.com/accuser907/finefake

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FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection

https://github.com/ahachang/defend

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Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement

https://github.com/altuncu/aedfact

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aedFaCT: Scientific Fact-Checking Made Easier via Semi-Automatic Discovery of Relevant Expert Opinions

https://github.com/amincoding/fassila

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FASSILA: A Corpus for Algerian Dialect Fake News Detection and Sentiment Analysis

https://github.com/archersama/3rd-solution-COVID19-Fake-News-Detection-in-English

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Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English

https://github.com/arjun-254/veritas-nli

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VERITAS-NLI : Validation and Extraction of Reliable Information Through Automated Scraping and Natural Language Inference

https://github.com/arman-sakif/bengali-fake-news-detection

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Tackling Fake News in Bengali: Unraveling the Impact of Summarization vs. Augmentation on Pre-trained Language Models

https://github.com/asuprem/glamor

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Evaluating Generalizability of Fine-Tuned Models for Fake News Detection

https://github.com/bilalghanem/fake_flow

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FakeFlow: Fake News Detection by Modeling the Flow of Affective Information

https://github.com/bkolosk1/kbnr

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Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles

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