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Fake News Detection

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.

Papers

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Showing 51–100 of 490 papers

TitleStatusHype
Generalizing to the Future: Mitigating Entity Bias in Fake News DetectionCode1
Evaluation of Fake News Detection with Knowledge-Enhanced Language ModelsCode1
Zoom Out and Observe: News Environment Perception for Fake News DetectionCode1
Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data GenerationCode1
DISCO: Comprehensive and Explainable Disinformation DetectionCode1
GAME-ON: Graph Attention Network based Multimodal Fusion for Fake News DetectionCode1
Evidence-aware Fake News Detection with Graph Neural NetworksCode1
Cross-lingual COVID-19 Fake News DetectionCode1
COVID-19 Fake News Detection Using Bidirectional Encoder Representations from Transformers Based ModelsCode1
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text GenerationCode1
Integrating Pattern- and Fact-based Fake News Detection via Model Preference LearningCode1
Towards Fine-Grained Reasoning for Fake News DetectionCode1
Cross-lingual Evidence Improves Monolingual Fake News DetectionCode1
Compare to The Knowledge: Graph Neural Fake News Detection with External KnowledgeCode1
Exploring Summarization to Enhance Headline Stance DetectionCode1
Automatic Fake News Detection: Are Models Learning to Reason?Code1
AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection DatasetCode1
User Preference-aware Fake News DetectionCode1
Multimodal Fusion with BERT and Attention Mechanism for Fake News DetectionCode1
The Surprising Performance of Simple Baselines for Misinformation DetectionCode1
A Heuristic-driven Uncertainty based Ensemble Framework for Fake News Detection in Tweets and News ArticlesCode1
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News DetectionCode1
Hierarchical Multi-head Attentive Network for Evidence-aware Fake News DetectionCode1
A Heuristic-driven Ensemble Framework for COVID-19 Fake News DetectionCode1
Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in EnglishCode1
Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised LearningCode1
No Rumours Please! A Multi-Indic-Lingual Approach for COVID Fake-Tweet DetectionCode1
Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake NewsCode1
Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim ClassificationCode1
FANG: Leveraging Social Context for Fake News Detection Using Graph RepresentationCode1
Graph-based Modeling of Online Communities for Fake News DetectionCode1
Graph Neural Networks with Continual Learning for Fake News Detection from Social MediaCode1
State of the Art Models for Fake News Detection TasksCode1
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social MediaCode1
BanFakeNews: A Dataset for Detecting Fake News in BanglaCode1
SAFE: Similarity-Aware Multi-Modal Fake News DetectionCode1
Improving Generalizability of Fake News Detection Methods using Propensity Score MatchingCode1
Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data RepositoryCode1
Stance Detection Benchmark: How Robust Is Your Stance Detection?Code1
Mining Dual Emotion for Fake News DetectionCode1
Fake News Detection on Social Media using Geometric Deep LearningCode1
``Liar, Liar Pants on Fire'': A New Benchmark Dataset for Fake News DetectionCode1
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News DetectionCode1
DCR: Quantifying Data Contamination in LLMs EvaluationCode0
KEN: Knowledge Augmentation and Emotion Guidance Network for Multimodal Fake News Detection—0
Lifelong Evolution: Collaborative Learning between Large and Small Language Models for Continuous Emergent Fake News Detection—0
Interpretable Graph Learning Over Sets of Temporally-Sparse Data—0
Improving Bangla Linguistics: Advanced LSTM, Bi-LSTM, and Seq2Seq Models for Translating Sylheti to Modern Bangla—0
KGAlign: Joint Semantic-Structural Knowledge Encoding for Multimodal Fake News DetectionCode0
MPPFND: A Dataset and Analysis of Detecting Fake News with Multi-Platform Propagation—0
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All datasetsFNC-1RAWFCGrover-MegaLIARHostility Detection Dataset in HindiCOVID-19 Fake News DatasetMediaEval2016PolitiFactSocial mediaWeibo NER

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Sepúlveda-Torres R., Vicente M., Saquete E., Lloret E., Palomar M. (2021)Weighted Accuracy90.73—Unverified
2ZAINAB A. JAWAD, AHMED J. OBAID (CNN and DNN with SCM, 2022)Weighted Accuracy84.6—Unverified
3Bhatt et al.Weighted Accuracy83.08—Unverified
4Bi-LSTM (max-pooling, attention)Weighted Accuracy82.23—Unverified
53rd place at FNC-1 - Team UCL Machine Reading (Riedel et al., 2017)Weighted Accuracy81.72—Unverified
6Neural method from Mohtarami et al. + TF-IDF (Mohtarami et al., 2018)Weighted Accuracy81.23—Unverified
7Neural method from Mohtarami et al. (Mohtarami et al., 2018)Weighted Accuracy78.97—Unverified
8Baseline based on skip-thought embeddings (Bhatt et al., 2017)Weighted Accuracy76.18—Unverified
9Baseline based on word2vec + hand-crafted features (Bhatt et al., 2017)Weighted Accuracy72.78—Unverified
10Neural baseline based on bi-directional LSTMs (Bhatt et al., 2017)Weighted Accuracy63.11—Unverified
#ModelMetricClaimedVerifiedStatus
1Persuasive Writing StrategyF155.8—Unverified
2HiSSF153.9—Unverified
3CofCEDF151.1—Unverified
4ReActF149.8—Unverified
5Standard prompting with articlesF147.9—Unverified
6CoTF144.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Text-Transformers + Five-fold five model cross-validation +Pseudo Label AlgorithmUnpaired Accuracy98.5—Unverified
2Grover-MegaUnpaired Accuracy92—Unverified
3Grover-LargeUnpaired Accuracy80.8—Unverified
4BERT-LargeUnpaired Accuracy73.1—Unverified
5GPT2 (355M)Unpaired Accuracy70.1—Unverified
#ModelMetricClaimedVerifiedStatus
1Hybrid CNNs (Text + All)Test Accuracy0.27—Unverified
2CNNsTest Accuracy0.27—Unverified
3Hybrid CNNs (Text + Speaker)Test Accuracy0.25—Unverified
4Bi-LSTMsTest Accuracy0.23—Unverified
#ModelMetricClaimedVerifiedStatus
1Auxiliary IndicBertF1 score0.77—Unverified
2Auxiliary IndicBertF1 score0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Ensemble Model + Heuristic Post-ProcessingF10.99—Unverified
#ModelMetricClaimedVerifiedStatus
1SEMI-FNDAccuracy85.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Convolutional Tsetlin Machine1:1 Accuracy91.21—Unverified
#ModelMetricClaimedVerifiedStatus
1TextRNNAccuracy92.4—Unverified
#ModelMetricClaimedVerifiedStatus
1SEMI-FNDAccuracy86.83—Unverified