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 351–400 of 490 papers

TitleStatusHype
FNDaaS: Content-agnostic Detection of Fake News sites—0
FR-Detect: A Multi-Modal Framework for Early Fake News Detection on Social Media Using Publishers Features—0
French Tweet Corpus for Automatic Stance Detection—0
From Clickbait to Fake News Detection: An Approach based on Detecting the Stance of Headlines to Articles—0
From Fake News to #FakeNews: Mining Direct and Indirect Relationships among Hashtags for Fake News Detection—0
Generating artificial texts as substitution or complement of training data—0
Gradual Argumentation Evaluation for Stance Aggregation in Automated Fake News Detection—0
GRaMuFeN: Graph-based Multi-modal Fake News Detection in Social Media—0
Graph-based Fake News Detection using a Summarization Technique—0
Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection—0
GREENER: Graph Neural Networks for News Media Profiling—0
GREENER: Graph Neural Networks for News Media Profiling—0
An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models—0
Health Misinformation Detection in Web Content via Web2Vec: A Structural-, Content-based, and Context-aware Approach based on Web2Vec—0
Health Misinformation in Social Networks: A Survey of IT Approaches—0
Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information—0
Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention—0
Hostility Detection and Covid-19 Fake News Detection in Social Media—0
How Deep Are the Fakes? Focusing on Audio Deepfake: A Survey—0
How Good Are SOTA Fake News Detectors—0
Human-in-the-Loop Disinformation Detection: Stance, Sentiment, or Something Else?—0
Identification of COVID-19 related Fake News via Neural Stacking—0
Improving Bangla Linguistics: Advanced LSTM, Bi-LSTM, and Seq2Seq Models for Translating Sylheti to Modern Bangla—0
InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection—0
Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection—0
Interpretable Graph Learning Over Sets of Temporally-Sparse Data—0
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection—0
Is Multi-Modal Necessarily Better? Robustness Evaluation of Multi-modal Fake News Detection—0
Judgment of Thoughts: Courtroom of the Binary Logical Reasoning in Large Language Models—0
FAKEDETECTOR: Effective Fake News Detection with Deep Diffusive Neural NetworkCode0
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
Fake News Detection via NLP is Vulnerable to Adversarial AttacksCode0
Real-time Fake News from Adversarial FeedbackCode0
Tensor Factorization with Label Information for Fake News DetectionCode0
Defending Against Neural Fake NewsCode0
Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social NetworksCode0
Fake news detection using Deep LearningCode0
Fake News Detection Through Temporally Evolving User InteractionsCode0
FANG-COVID: A New Large-Scale Benchmark Dataset for Fake News Detection in GermanCode0
Fake News Detection in Spanish Using Deep Learning TechniquesCode0
FASSILA: A Corpus for Algerian Dialect Fake News Detection and Sentiment AnalysisCode0
Using Persuasive Writing Strategies to Explain and Detect Health MisinformationCode0
MisRoBÆRTa: Transformers versus MisinformationCode0
Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated DataCode0
VERITAS-NLI : Validation and Extraction of Reliable Information Through Automated Scraping and Natural Language InferenceCode0
FMNV: A Dataset of Media-Published News Videos for Fake News DetectionCode0
Reliability Estimation of News Media Sources: Birds of a Feather Flock TogetherCode0
FNR: a similarity and transformer-based approach to detect multi-modal fake news in social mediaCode0
MM-Claims: A Dataset for Multimodal Claim Detection in Social MediaCode0
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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