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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 151–200 of 490 papers

TitleStatusHype
Detection of Human and Machine-Authored Fake News in UrduCode0
Have LLMs Reopened the Pandora's Box of AI-Generated Fake News?—0
Health Misinformation in Social Networks: A Survey of IT Approaches—0
Enriching GNNs with Text Contextual Representations for Detecting Disinformation Campaigns on Social MediaCode0
NexusIndex: Integrating Advanced Vector Indexing and Multi-Model Embeddings for Robust Fake News Detection—0
Real-time Fake News from Adversarial FeedbackCode0
CrediRAG: Network-Augmented Credibility-Based Retrieval for Misinformation Detection in Reddit—0
MMCFND: Multimodal Multilingual Caption-aware Fake News Detection for Low-resource Indic Languages—0
VERITAS-NLI : Validation and Extraction of Reliable Information Through Automated Scraping and Natural Language InferenceCode0
Text Classification using Graph Convolutional Networks: A Comprehensive Survey—0
CoVLM: Leveraging Consensus from Vision-Language Models for Semi-supervised Multi-modal Fake News DetectionCode0
Overview of Factify5WQA: Fact Verification through 5W Question-Answering—0
Ethio-Fake: Cutting-Edge Approaches to Combat Fake News in Under-Resourced Languages Using Explainable AI—0
Judgment of Thoughts: Courtroom of the Binary Logical Reasoning in Large Language Models—0
LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection—0
Adaptive Learning of Consistency and Inconsistency Information for Fake News Detection—0
Official-NV: An LLM-Generated News Video Dataset for Multimodal Fake News Detection—0
A Semi-supervised Fake News Detection using Sentiment Encoding and LSTM with Self-Attention—0
Large Visual-Language Models Are Also Good Classifiers: A Study of In-Context Multimodal Fake News Detection—0
Transferring Structure Knowledge: A New Task to Fake news Detection Towards Cold-Start Propagation—0
Detect, Investigate, Judge and Determine: A Novel LLM-based Framework for Few-shot Fake News Detection—0
Search, Examine and Early-Termination: Fake News Detection with Annotation-Free Evidences—0
Health Misinformation Detection in Web Content via Web2Vec: A Structural-, Content-based, and Context-aware Approach based on Web2Vec—0
Fake News Detection and Manipulation Reasoning via Large Vision-Language Models—0
POLygraph: Polish Fake News Dataset—0
Adversarial Style Augmentation via Large Language Model for Robust Fake News DetectionCode0
COOL: Comprehensive Knowledge Enhanced Prompt Learning for Domain Adaptive Few-shot Fake News Detection—0
VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning—0
Evaluating the Efficacy of Large Language Models in Detecting Fake News: A Comparative Analysis—0
Enhancing Fairness in Unsupervised Graph Anomaly Detection through DisentanglementCode0
Zero-Shot Stance Detection using Contextual Data Generation with LLMsCode0
T3RD: Test-Time Training for Rumor Detection on Social MediaCode0
LingML: Linguistic-Informed Machine Learning for Enhanced Fake News Detection—0
Large Language Model Agent for Fake News Detection—0
Does It Make Sense to Explain a Black Box With Another Black Box?Code0
Heterogeneous Subgraph Transformer for Fake News DetectionCode0
Reliability Estimation of News Media Sources: Birds of a Feather Flock TogetherCode0
Blessing or curse? A survey on the Impact of Generative AI on Fake News—0
Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques—0
Advancing Fake News Detection: Hybrid DeepLearning with FastText and Explainable AI—0
Towards Knowledge-Grounded Natural Language Understanding and Generation—0
Ax-to-Grind Urdu: Benchmark Dataset for Urdu Fake News DetectionCode0
TT-BLIP: Enhancing Fake News Detection Using BLIP and Tri-Transformer—0
Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors—0
MCFEND: A Multi-source Benchmark Dataset for Chinese Fake News Detection—0
FKA-Owl: Advancing Multimodal Fake News Detection through Knowledge-Augmented LVLMs—0
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media—0
Challenges in Pre-Training Graph Neural Networks for Context-Based Fake News Detection: An Evaluation of Current Strategies and Resource LimitationsCode0
MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of ExpressionsCode0
MSynFD: Multi-hop Syntax aware Fake News Detection—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