SOTAVerified

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
BRENDA: Browser Extension for Fake News Detection—0
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media—0
BREAKING! Presenting Fake News Corpus for Automated Fact Checking—0
A New cross-domain strategy based XAI models for fake news detection—0
Fake News Detection with Different Models—0
Blessing or curse? A survey on the Impact of Generative AI on Fake News—0
Ethio-Fake: Cutting-Edge Approaches to Combat Fake News in Under-Resourced Languages Using Explainable AI—0
Better Reasoning Behind Classification Predictions with BERT for Fake News Detection—0
Fake News Detection Using Majority Voting Technique—0
ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation—0
Fake news detection using parallel BERT deep neural networks—0
Fake News Detection using Stance Classification: A Survey—0
Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques—0
End-to-end argumentation knowledge graph construction—0
Bangla Fake News Detection Based On Multichannel Combined CNN-LSTM—0
Emulating Reader Behaviors for Fake News Detection—0
Emotion-guided Cross-domain Fake News Detection using Adversarial Domain Adaptation—0
An End-to-End Multi-task Learning Model for Fact Checking—0
An Event Correlation Filtering Method for Fake News Detection—0
Fake News Detection using Deep Markov Random Fields—0
Emotion Detection for Misinformation: A Review—0
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data—0
Evaluating Deep Learning Approaches for Covid19 Fake News Detection—0
Evaluating the Efficacy of Large Language Models in Detecting Fake News: A Comparative Analysis—0
Editable Graph Neural Network for Node Classifications—0
An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning—0
ExFake: Towards an Explainable Fake News Detection Based on Content and Social Context Information—0
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection—0
Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions—0
Fake News Detection Tools and Methods -- A Review—0
Exploiting Multi-domain Visual Information for Fake News Detection—0
Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting—0
Fake News Detection via Knowledge-driven Multimodal Graph Convolutional Networks—0
Annotating and Analyzing Biased Sentences in News Articles using Crowdsourcing—0
Fake News Spreader Detection on Twitter using Character N-Grams. Notebook for PAN at CLEF 2020—0
CIMTDetect: A Community Infused Matrix-Tensor Coupled Factorization Based Method for Fake News Detection—0
Automatic Fake News Detection in Political Platforms - A Transformer-based Approach—0
Exploring Text Representations for Online Misinformation—0
An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning—0
External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection—0
Dynamic graph neural network for fake news detection—0
Fake News Detection System using XLNet model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task—0
Factorization of Fact-Checks for Low Resource Indian Languages—0
Fake Advertisements Detection Using Automated Multimodal Learning: A Case Study for Vietnamese Real Estate Data—0
Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection—0
CLFD: A Novel Vectorization Technique and Its Application in Fake News Detection—0
Fake News and Phishing Detection Using a Machine Learning Trained Expert System—0
fakenewsbr: A Fake News Detection Platform for Brazilian Portuguese—0
Domain Adaptive Fake News Detection via Reinforcement Learning—0
Automatic Fake News Detection: Are current models “fact-checking” or“gut-checking”?—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