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
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
Synergizing LLMs with Global Label Propagation for Multimodal Fake News DetectionCode1
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
The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News—0
Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask LearningCode1
A Python Tool for Reconstructing Full News Text from GDELTCode1
Adaptation Method for Misinformation Identification—0
Exploring Modality Disruption in Multimodal Fake News Detection—0
Deconfounded Reasoning for Multimodal Fake News Detection via Causal Intervention—0
Multi-view autoencoders for Fake News DetectionCode0
FMNV: A Dataset of Media-Published News Videos for Fake News DetectionCode0
Is Less Really More? Fake News Detection with Limited InformationCode0
Synthetic News Generation for Fake News Classification—0
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection—0
ClaimTrust: Propagation Trust Scoring for RAG Systems—0
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection—0
Revealing Hidden Mechanisms of Cross-Country Content Moderation with Natural Language ProcessingCode0
Unseen Fake News Detection Through Casual Debiasing—0
Vision-Language Models Struggle to Align Entities across Modalities—0
External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection—0
An exploration of features to improve the generalisability of fake news detection models—0
Bangla Fake News Detection Based On Multichannel Combined CNN-LSTM—0
Advanced Text Analytics -- Graph Neural Network for Fake News Detection in Social Media—0
A Macro- and Micro-Hierarchical Transfer Learning Framework for Cross-Domain Fake News Detection—0
UNITE-FND: Reframing Multimodal Fake News Detection through Unimodal Scene Translation—0
A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit—0
Neighborhood-Order Learning Graph Attention Network for Fake News DetectionCode0
News about Global North considered Truthful! The Geo-political Veracity Gradient in Global South News—0
Multimodal Inverse Attention Network with Intrinsic Discriminant Feature Exploitation for Fake News Detection—0
Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions—0
Fake News Detection After LLM Laundering: Measurement and ExplanationCode0
Triple Path Enhanced Neural Architecture Search for Multimodal Fake News Detection—0
Modality Interactive Mixture-of-Experts for Fake News DetectionCode1
CroMe: Multimodal Fake News Detection using Cross-Modal Tri-Transformer and Metric Learning—0
A Hybrid Attention Framework for Fake News Detection with Large Language Models—0
Fake Advertisements Detection Using Automated Multimodal Learning: A Case Study for Vietnamese Real Estate Data—0
From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMsCode0
MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection—0
A Decision-Based Heterogenous Graph Attention Network for Multi-Class Fake News DetectionCode0
Multi-view Fake News Detection Model Based on Dynamic Hypergraph—0
RaCMC: Residual-Aware Compensation Network with Multi-Granularity Constraints for Fake News Detection—0
Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News DetectionCode1
Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated DataCode0
Enhancing Rhetorical Figure Annotation: An Ontology-Based Web Application with RAG IntegrationCode0
Exploring Text Representations for Online Misinformation—0
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