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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
Detecting and Grounding Multi-Modal Media Manipulation and BeyondCode2
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News DetectionCode1
fakenewsbr: A Fake News Detection Platform for Brazilian Portuguese—0
Machine Learning Technique Based Fake News Detection—0
Analysis of Disinformation and Fake News Detection Using Fine-Tuned Large Language Model—0
A Survey on Interpretable Cross-modal ReasoningCode1
Debunking Disinformation: Revolutionizing Truth with NLP in Fake News Detection—0
Fine-Tuning Llama 2 Large Language Models for Detecting Online Sexual Predatory Chats and Abusive Texts—0
A Generalized Deep Markov Random Fields Framework for Fake News Detection.Code1
Performance Analysis of Transformer Based Models (BERT, ALBERT and RoBERTa) in Fake News DetectionCode0
How Good Are SOTA Fake News Detectors—0
Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report)—0
Fake News Detection Through Graph-based Neural Networks: A Survey—0
X-CapsNet For Fake News Detection—0
Findings of Factify 2: Multimodal Fake News Detection—0
Tackling Fake News in Bengali: Unraveling the Impact of Summarization vs. Augmentation on Pre-trained Language ModelsCode0
Emulating Reader Behaviors for Fake News Detection—0
Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News DetectionCode1
3HAN: A Deep Neural Network for Fake News DetectionCode1
A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake NewsCode0
LTCR: Long-Text Chinese Rumor Detection DatasetCode1
See How You Read? Multi-Reading Habits Fusion Reasoning for Multi-modal Fake News DetectionCode0
FakeSwarm: Improving Fake News Detection with Swarming Characteristics—0
Improving Generalization for Multimodal Fake News DetectionCode0
Fake News Detection Through Temporally Evolving User InteractionsCode0
Fake News Detection and Behavioral Analysis: Case of COVID-19—0
Editable Graph Neural Network for Node Classifications—0
Unsupervised Domain-agnostic Fake News Detection using Multi-modal Weak Signals—0
aedFaCT: Scientific Fact-Checking Made Easier via Semi-Automatic Discovery of Relevant Expert OpinionsCode0
Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing—0
TieFake: Title-Text Similarity and Emotion-Aware Fake News DetectionCode1
MisRoBÆRTa: Transformers versus MisinformationCode0
It's All in the Embedding! Fake News Detection Using Document EmbeddingsCode0
Interpretable Detection of Out-of-Context Misinformation with Neural-Symbolic-Enhanced Large Multimodal Model—0
Similarity-Aware Multimodal Prompt Learning for Fake News Detection—0
Detecting and Grounding Multi-Modal Media ManipulationCode2
Multi-modal Fake News Detection on Social Media via Multi-grained Information Fusion—0
Classifying COVID-19 Related Tweets for Fake News Detection and Sentiment Analysis with BERT-based Models—0
No Place to Hide: Dual Deep Interaction Channel Network for Fake News Detection based on Data Augmentation—0
FNR: a similarity and transformer-based approach to detect multi-modal fake news in social mediaCode0
Cross-modal Contrastive Learning for Multimodal Fake News DetectionCode1
Entity-Aware Dual Co-Attention Network for Fake News DetectionCode1
A New cross-domain strategy based XAI models for fake news detection—0
DANES: Deep Neural Network Ensemble Architecture for Social and Textual Context-aware Fake News DetectionCode0
Exploring Semantic Perturbations on GroverCode0
Linguistic-style-aware Neural Networks for Fake News DetectionCode0
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural NetworksCode1
Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social NetworksCode0
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs—0
FNDaaS: Content-agnostic Detection of Fake News sites—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