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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 101–150 of 490 papers

TitleStatusHype
Zero-Shot Stance Detection using Contextual Data Generation with LLMsCode0
T3RD: Test-Time Training for Rumor Detection on Social MediaCode0
LingML: Linguistic-Informed Machine Learning for Enhanced Fake News Detection—0
Explainable Fake News Detection With Large Language Model via Defense Among Competing WisdomCode2
Large Language Model Agent for Fake News Detection—0
Does It Make Sense to Explain a Black Box With Another Black Box?Code0
Heterogeneous Subgraph Transformer for Fake News DetectionCode0
Reliability Estimation of News Media Sources: Birds of a Feather Flock TogetherCode0
Blessing or curse? A survey on the Impact of Generative AI on Fake News—0
Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques—0
FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News DetectionCode1
Advancing Fake News Detection: Hybrid DeepLearning with FastText and Explainable AI—0
Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic ReasoningCode1
Towards Knowledge-Grounded Natural Language Understanding and Generation—0
Ax-to-Grind Urdu: Benchmark Dataset for Urdu Fake News DetectionCode0
TT-BLIP: Enhancing Fake News Detection Using BLIP and Tri-Transformer—0
Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors—0
MCFEND: A Multi-source Benchmark Dataset for Chinese Fake News Detection—0
FKA-Owl: Advancing Multimodal Fake News Detection through Knowledge-Augmented LVLMs—0
Fake news detection: Taxonomy and comparative studyCode1
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media—0
Challenges in Pre-Training Graph Neural Networks for Context-Based Fake News Detection: An Evaluation of Current Strategies and Resource LimitationsCode0
MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of ExpressionsCode0
MSynFD: Multi-hop Syntax aware Fake News Detection—0
User Modeling and User Profiling: A Comprehensive Survey—0
LOSS-GAT: Label Propagation and One-Class Semi-Supervised Graph Attention Network for Fake News Detection—0
TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News DetectionCode1
An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models—0
FaKnow: A Unified Library for Fake News DetectionCode2
Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection—0
Fact-checking based fake news detection: a review—0
Exploring news intent and its application: A theory-driven approachCode0
Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It—0
A Revisit of Fake News Dataset with Augmented Fact-checking by ChatGPT—0
GAMC: An Unsupervised Method for Fake News Detection using Graph Autoencoder with MaskingCode1
Fuzzy Deep Hybrid Network for Fake News DetectionCode0
Dual-Teacher De-biasing Distillation Framework for Multi-domain Fake News DetectionCode1
Can Out-of-Domain data help to Learn Domain-Specific Prompts for Multimodal Misinformation Detection?Code0
ExFake: Towards an Explainable Fake News Detection Based on Content and Social Context Information—0
BanMANI: A Dataset to Identify Manipulated Social Media News in BanglaCode0
Adapting Fake News Detection to the Era of Large Language ModelsCode1
Detecting Deepfakes Without Seeing AnyCode1
Emotion Detection for Misinformation: A Review—0
ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation—0
COVIDFakeExplainer: An Explainable Machine Learning based Web Application for Detecting COVID-19 Fake News—0
Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style AttacksCode1
Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting—0
GRaMuFeN: Graph-based Multi-modal Fake News Detection in Social Media—0
Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting MethodCode1
Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News DetectionCode1
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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