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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
Ax-to-Grind Urdu: Benchmark Dataset for Urdu Fake News DetectionCode0
Hybrid Ensemble for Fake News Detection: An attemptCode0
Interpretable Fake News Detection with Topic and Deep Variational ModelsCode0
Learning from Fact-checkers: Analysis and Generation of Fact-checking LanguageCode0
EANN: Event Adversarial Neural Networks for Multi-Modal Fake News DetectionCode0
GETAE: Graph information Enhanced deep neural NeTwork ensemble ArchitecturE for fake news detectionCode0
Does It Make Sense to Explain a Black Box With Another Black Box?Code0
GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News DetectionCode0
From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMsCode0
FNR: a similarity and transformer-based approach to detect multi-modal fake news in social mediaCode0
Fuzzy Deep Hybrid Network for Fake News DetectionCode0
Hostility Detection in Hindi leveraging Pre-Trained Language ModelsCode0
Detection of Human and Machine-Authored Fake News in UrduCode0
An Adversarial Benchmark for Fake News Detection ModelsCode0
FMNV: A Dataset of Media-Published News Videos for Fake News DetectionCode0
Improving Generalization for Multimodal Fake News DetectionCode0
g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News DetectionCode0
Automated Evidence Collection for Fake News DetectionCode0
Enhancing Rhetorical Figure Annotation: An Ontology-Based Web Application with RAG IntegrationCode0
Enriching GNNs with Text Contextual Representations for Detecting Disinformation Campaigns on Social MediaCode0
FASSILA: A Corpus for Algerian Dialect Fake News Detection and Sentiment AnalysisCode0
Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical EncoderCode0
Is Less Really More? Fake News Detection with Limited InformationCode0
It's All in the Embedding! Fake News Detection Using Document EmbeddingsCode0
FANG-COVID: A New Large-Scale Benchmark Dataset for Fake News Detection in GermanCode0
Heterogeneous Subgraph Transformer for Fake News DetectionCode0
A Benchmark Study of Machine Learning Models for Online Fake News DetectionCode0
Detecting Fake News on Social Media: A Novel Reliability Aware Machine-Crowd Hybrid Intelligence-Based MethodCode0
FAKEDETECTOR: Effective Fake News Detection with Deep Diffusive Neural NetworkCode0
A Two-Level Classification Approach for Detecting Clickbait Posts using Text-Based FeaturesCode0
Challenges in Pre-Training Graph Neural Networks for Context-Based Fake News Detection: An Evaluation of Current Strategies and Resource LimitationsCode0
Linguistic-style-aware Neural Networks for Fake News DetectionCode0
Fake News Detection via NLP is Vulnerable to Adversarial AttacksCode0
Fake News Detection Through Temporally Evolving User InteractionsCode0
Defending Against Neural Fake NewsCode0
Exploring Semantic Perturbations on GroverCode0
Fake news detection using Deep LearningCode0
Deep Two-path Semi-supervised Learning for Fake News DetectionCode0
Fake News Detection in Spanish Using Deep Learning TechniquesCode0
Using Persuasive Writing Strategies to Explain and Detect Health MisinformationCode0
A Survey on Natural Language Processing for Fake News DetectionCode0
Debunking Fake News One Feature at a TimeCode0
Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated DataCode0
Fake News Detection After LLM Laundering: Measurement and ExplanationCode0
Applying Automatic Text Summarization for Fake News DetectionCode0
FakeFlow: Fake News Detection by Modeling the Flow of Affective InformationCode0
Fake News Detection as Natural Language InferenceCode0
DCR: Quantifying Data Contamination in LLMs EvaluationCode0
A Deep Learning Approach for Automatic Detection of Fake NewsCode0
Fake News Detection: a comparison between available Deep Learning techniques in vector spaceCode0
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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