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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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 490 papers

TitleStatusHype
Exploring news intent and its application: A theory-driven approachCode0
VERITAS-NLI : Validation and Extraction of Reliable Information Through Automated Scraping and Natural Language InferenceCode0
Weak Supervision for Fake News Detection via Reinforcement LearningCode0
Zero-Shot Stance Detection using Contextual Data Generation with LLMsCode0
Stance-In-Depth Deep Neural Approach to Stance Classification—0
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection—0
Strengthening Fake News Detection: Leveraging SVM and Sophisticated Text Vectorization Techniques. Defying BERT?—0
Fake News Detection: Experiments and Approaches beyond Linguistic Features—0
Fake News Detection for Portuguese with Deep Learning—0
Fake news detection for the Russian language—0
Fake News Detection in Social Media using Graph Neural Networks and NLP Techniques: A COVID-19 Use-case—0
Studies Towards Language Independent Fake News Detection—0
Better Reasoning Behind Classification Predictions with BERT for Fake News Detection—0
Bangla Fake News Detection Based On Multichannel Combined CNN-LSTM—0
Automatic Fake News Detection in Political Platforms - A Transformer-based Approach—0
Fake News Detection System using XLNet model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task—0
Automatic Fake News Detection: Are current models “fact-checking” or“gut-checking”?—0
Fake News Detection Through Graph-based Neural Networks: A Survey—0
Fake News Detection Through Multi-Perspective Speaker Profiles—0
Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection—0
Fake News Detection Tools and Methods -- A Review—0
Advancing Fake News Detection: Hybrid DeepLearning with FastText and Explainable AI—0
Fake News Detection using Deep Markov Random Fields—0
Fake News Detection Using Majority Voting Technique—0
Fake news detection using parallel BERT deep neural networks—0
Fake News Detection using Stance Classification: A Survey—0
Fake News Detection via Knowledge-driven Multimodal Graph Convolutional Networks—0
Synthetic News Generation for Fake News Classification—0
X-CapsNet For Fake News Detection—0
Fake News Detection with Different Models—0
Automatic Fake News Detection: Are current models "fact-checking" or "gut-checking"?—0
Fake News Early Detection: An Interdisciplinary Study—0
FKA-Owl: Advancing Multimodal Fake News Detection through Knowledge-Augmented LVLMs—0
Automatic Detection of Fake News—0
Fake News Spreader Detection on Twitter using Character N-Grams. Notebook for PAN at CLEF 2020—0
Fake news stance detection using stacked ensemble of classifiers—0
Fake or Credible? Towards Designing Services to Support Users' Credibility Assessment of News Content—0
FakeSwarm: Improving Fake News Detection with Swarming Characteristics—0
Automated Fake News Detection using cross-checking with reliable sources—0
A Unified Propagation Forest-based Framework for Fake News Detection—0
Advanced Text Analytics -- Graph Neural Network for Fake News Detection in Social Media—0
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices—0
Tackling Fake News Detection by Interactively Learning Representations using Graph Neural Networks—0
Feature Extraction of Text for Deep Learning Algorithms: Application on Fake News Detection—0
Findings of Factify 2: Multimodal Fake News Detection—0
A transformer based approach for fighting COVID-19 fake news—0
Fine-Tuning Llama 2 Large Language Models for Detecting Online Sexual Predatory Chats and Abusive Texts—0
Vernon-fenwick at SemEval-2019 Task 4: Hyperpartisan News Detection using Lexical and Semantic Features—0
FNDaaS: Content-agnostic Detection of Fake News sites—0
Advanced Machine Learning Techniques for Fake News (Online Disinformation) Detection: A Systematic Mapping Study—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