SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 490 papers

TitleStatusHype
Fake News Detection: It's All in the Data!Code5
Detecting and Grounding Multi-Modal Media Manipulation and BeyondCode2
FaKnow: A Unified Library for Fake News DetectionCode2
Explainable Fake News Detection With Large Language Model via Defense Among Competing WisdomCode2
Detecting and Grounding Multi-Modal Media ManipulationCode2
Fake News Detection on Social Media: A Data Mining PerspectiveCode2
MDFEND: Multi-domain Fake News DetectionCode2
FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News DetectionCode1
Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style AttacksCode1
GAMC: An Unsupervised Method for Fake News Detection using Graph Autoencoder with MaskingCode1
Fake news detection: Taxonomy and comparative studyCode1
Fake News Detection with Heterogeneous TransformerCode1
Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data GenerationCode1
FANG: Leveraging Social Context for Fake News Detection Using Graph RepresentationCode1
Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in EnglishCode1
Adapting Fake News Detection to the Era of Large Language ModelsCode1
Cross-lingual Evidence Improves Monolingual Fake News DetectionCode1
Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised LearningCode1
BanFakeNews: A Dataset for Detecting Fake News in BanglaCode1
Evaluation of Fake News Detection with Knowledge-Enhanced Language ModelsCode1
Mining Dual Emotion for Fake News DetectionCode1
Exploring Summarization to Enhance Headline Stance DetectionCode1
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News DetectionCode1
Fake News Detection on Social Media using Geometric Deep LearningCode1
A Generalized Deep Markov Random Fields Framework for Fake News Detection.Code1
A Heuristic-driven Ensemble Framework for COVID-19 Fake News DetectionCode1
A Heuristic-driven Uncertainty based Ensemble Framework for Fake News Detection in Tweets and News ArticlesCode1
3HAN: A Deep Neural Network for Fake News DetectionCode1
DAAD: Dynamic Analysis and Adaptive Discriminator for Fake News DetectionCode1
Dual-Teacher De-biasing Distillation Framework for Multi-domain Fake News DetectionCode1
Enhancing Fake News Detection in Social Media via Label Propagation on Cross-modal Tweet GraphCode1
AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection DatasetCode1
AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News DetectionCode1
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News DetectionCode1
A Survey on Interpretable Cross-modal ReasoningCode1
DISCO: Comprehensive and Explainable Disinformation DetectionCode1
Automatic Fake News Detection: Are Models Learning to Reason?Code1
Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News DetectionCode1
A Python Tool for Reconstructing Full News Text from GDELTCode1
Detecting Deepfakes Without Seeing AnyCode1
An Enhanced Fake News Detection System With Fuzzy Deep LearningCode1
Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural NetworksCode1
Compare to The Knowledge: Graph Neural Fake News Detection with External KnowledgeCode1
Cross-lingual COVID-19 Fake News DetectionCode1
COVID-19 Fake News Detection Using Bidirectional Encoder Representations from Transformers Based ModelsCode1
Exploring Fake News Detection with Heterogeneous Social Media Context GraphsCode1
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News DetectionCode1
Cross-modal Contrastive Learning for Multimodal Fake News DetectionCode1
Cross-Modal Augmentation for Few-Shot Multimodal Fake News DetectionCode1
Entity-Aware Dual Co-Attention Network for Fake News DetectionCode1
Show:102550
← PrevPage 1 of 10Next →
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