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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 401–450 of 490 papers

TitleStatusHype
Two Stage Transformer Model for COVID-19 Fake News Detection and Fact CheckingCode0
Revealing Hidden Mechanisms of Cross-Country Content Moderation with Natural Language ProcessingCode0
Check-It: A Plugin for Detecting and Reducing the Spread of Fake News and Misinformation on the WebCode0
From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMsCode0
Fuzzy Deep Hybrid Network for Fake News DetectionCode0
g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News DetectionCode0
Fake News Detection by means of Uncertainty Weighted Causal GraphsCode0
GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News DetectionCode0
Fake News Detection as Natural Language InferenceCode0
Fake News Detection After LLM Laundering: Measurement and ExplanationCode0
Fake News Detection: a comparison between available Deep Learning techniques in vector spaceCode0
Deep Two-path Semi-supervised Learning for Fake News DetectionCode0
GETAE: Graph information Enhanced deep neural NeTwork ensemble ArchitecturE for fake news detectionCode0
FakeFlow: Fake News Detection by Modeling the Flow of Affective InformationCode0
r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News DetectionCode0
Challenges in Pre-Training Graph Neural Networks for Context-Based Fake News Detection: An Evaluation of Current Strategies and Resource LimitationsCode0
Mono vs Multilingual Transformer-based Models: a Comparison across Several Language TasksCode0
A Review on Fact Extraction and VerificationCode0
Exploring Semantic Perturbations on GroverCode0
A Benchmark Study of Machine Learning Models for Online Fake News DetectionCode0
See How You Read? Multi-Reading Habits Fusion Reasoning for Multi-modal Fake News DetectionCode0
The Data Challenge in Misinformation Detection: Source Reputation vs. Content VeracityCode0
SemSeq4FD: Integrating global semantic relationship and local sequential order to enhance text representation for fake news detectionCode0
Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the WebCode0
Exploring news intent and its application: A theory-driven approachCode0
Heterogeneous Subgraph Transformer for Fake News DetectionCode0
Debunking Fake News One Feature at a TimeCode0
Transformer based Automatic COVID-19 Fake News Detection SystemCode0
Evaluating Generalizability of Fine-Tuned Models for Fake News DetectionCode0
A Stylometric Inquiry into Hyperpartisan and Fake NewsCode0
Hostility Detection in Hindi leveraging Pre-Trained Language ModelsCode0
DCR: Quantifying Data Contamination in LLMs EvaluationCode0
DANES: Deep Neural Network Ensemble Architecture for Social and Textual Context-aware Fake News DetectionCode0
How Vulnerable Are Automatic Fake News Detection Methods to Adversarial Attacks?Code0
A Decision-Based Heterogenous Graph Attention Network for Multi-Class Fake News DetectionCode0
Hybrid Ensemble for Fake News Detection: An attemptCode0
Multimodal Hate Speech Detection from Bengali Memes and TextsCode0
IMCI: Integrate Multi-view Contextual Information for Fact Extraction and VerificationCode0
TI-CNN: Convolutional Neural Networks for Fake News DetectionCode0
Explainable Tsetlin Machine framework for fake news detection with credibility score assessmentCode0
Enriching GNNs with Text Contextual Representations for Detecting Disinformation Campaigns on Social MediaCode0
Improving Generalization for Multimodal Fake News DetectionCode0
Indonesia's Fake News Detection using Transformer NetworkCode0
Some Like it Hoax: Automated Fake News Detection in Social NetworksCode0
MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of ExpressionsCode0
Enhancing Rhetorical Figure Annotation: An Ontology-Based Web Application with RAG IntegrationCode0
Interpretable Fake News Detection with Topic and Deep Variational ModelsCode0
CSI: A Hybrid Deep Model for Fake News DetectionCode0
Is it Fake? News Disinformation Detection on South African News WebsitesCode0
Is Less Really More? Fake News Detection with Limited InformationCode0
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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