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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 451–490 of 490 papers

TitleStatusHype
It's All in the Embedding! Fake News Detection Using Document EmbeddingsCode0
Neighborhood-Order Learning Graph Attention Network for Fake News DetectionCode0
A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake NewsCode0
KGAlign: Joint Semantic-Structural Knowledge Encoding for Multimodal Fake News DetectionCode0
Knowledge Graph informed Fake News Classification via Heterogeneous Representation EnsemblesCode0
A Deep Learning Approach for Automatic Detection of Fake NewsCode0
LaDiff ULMFiT: A Layer Differentiated training approach for ULMFiTCode0
Zero-Shot Stance Detection using Contextual Data Generation with LLMsCode0
Ax-to-Grind Urdu: Benchmark Dataset for Urdu Fake News DetectionCode0
Learning from Fact-checkers: Analysis and Generation of Fact-checking LanguageCode0
Learning Hierarchical Discourse-level Structure for Fake News DetectionCode0
Enhancing Fairness in Unsupervised Graph Anomaly Detection through DisentanglementCode0
Weak Supervision for Fake News Detection via Reinforcement LearningCode0
ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source InformationCode0
Cross-lingual Transfer Learning for Fake News Detector in a Low-Resource LanguageCode0
Can Out-of-Domain data help to Learn Domain-Specific Prompts for Multimodal Misinformation Detection?Code0
CoVLM: Leveraging Consensus from Vision-Language Models for Semi-supervised Multi-modal Fake News DetectionCode0
Adversarial Style Augmentation via Large Language Model for Robust Fake News DetectionCode0
On the Benefit of Combining Neural, Statistical and External Features for Fake News IdentificationCode0
On the Role of Images for Analyzing Claims in Social MediaCode0
EANN: Event Adversarial Neural Networks for Multi-Modal Fake News DetectionCode0
Does It Make Sense to Explain a Black Box With Another Black Box?Code0
Applying Automatic Text Summarization for Fake News DetectionCode0
Automated Evidence Collection for Fake News DetectionCode0
aedFaCT: Scientific Fact-Checking Made Easier via Semi-Automatic Discovery of Relevant Expert OpinionsCode0
Linguistic-style-aware Neural Networks for Fake News DetectionCode0
T3RD: Test-Time Training for Rumor Detection on Social MediaCode0
Localization of Fake News Detection via Multitask Transfer LearningCode0
A Two-Level Classification Approach for Detecting Clickbait Posts using Text-Based FeaturesCode0
Detection of Human and Machine-Authored Fake News in UrduCode0
Machine Generation and Detection of Arabic Manipulated and Fake NewsCode0
An Adversarial Benchmark for Fake News Detection ModelsCode0
Performance Analysis of Transformer Based Models (BERT, ALBERT and RoBERTa) in Fake News DetectionCode0
Tackling Fake News in Bengali: Unraveling the Impact of Summarization vs. Augmentation on Pre-trained Language ModelsCode0
CovidMis20: COVID-19 Misinformation Detection System on Twitter Tweets using Deep Learning ModelsCode0
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection ModelsCode0
Combating Hostility: Covid-19 Fake News and Hostile Post Detection in Social MediaCode0
Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical EncoderCode0
A Survey on Natural Language Processing for Fake News DetectionCode0
Detecting Fake News on Social Media: A Novel Reliability Aware Machine-Crowd Hybrid Intelligence-Based MethodCode0
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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