SOTAVerified

Propaganda detection

Papers

Showing 125 of 61 papers

TitleStatusHype
Robust and Explainable Identification of Logical Fallacies in Natural Language ArgumentsCode1
Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced DataCode1
Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of ChinaCode1
Large Language Models for Propaganda Span AnnotationCode0
Towards Detection of Subjective Bias using Contextualized Word EmbeddingsCode0
CyberWallE at SemEval-2020 Task 11: An Analysis of Feature Engineering for Ensemble Models for Propaganda DetectionCode0
Detecting Propaganda Techniques in Code-Switched Social Media TextCode0
ProtoTEx: Explaining Model Decisions with Prototype TensorsCode0
UTMN at SemEval-2020 Task 11: A Kitchen Solution to Automatic Propaganda DetectionCode0
YNU-HPCC at SemEval-2020 Task 11: LSTM Network for Detection of Propaganda Techniques in News ArticlesCode0
HQP: A Human-Annotated Dataset for Detecting Online PropagandaCode0
MemeMind at ArAIEval Shared Task: Spotting Persuasive Spans in Arabic Text with Persuasion Techniques IdentificationCode0
Semi-supervised Stance Detection of Tweets Via Distant Network SupervisionCode0
IITD at the WANLP 2022 Shared Task: Multilingual Multi-Granularity Network for Propaganda DetectionCode0
Large Language Models for Propaganda DetectionCode0
Effective Yet Ephemeral Propaganda Defense: There Needs to Be More than One-Shot Inoculation to Enhance Critical Thinking0
“Don’t discuss”: Investigating Semantic and Argumentative Features for Supervised Propagandist Message Detection and Classification0
Check News in One Click: NLP-Empowered Pro-Kremlin Propaganda Detection0
Divisive Language and Propaganda Detection using Multi-head Attention Transformers with Deep Learning BERT-based Language Models for Binary Classification0
Inno at SemEval-2020 Task 11: Leveraging Pure Transformer for Multi-Class Propaganda Detection0
CAUnLP at NLP4IF 2019 Shared Task: Context-Dependent BERT for Sentence-Level Propaganda Detection0
Biased by Design: Leveraging Inherent AI Biases to Enhance Critical Thinking of News Readers0
HOMADOS at SemEval-2021 Task 6: Multi-Task Learning for Propaganda Detection0
Hitachi at SemEval-2020 Task 11: An Empirical Study of Pre-Trained Transformer Family for Propaganda Detection0
Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels0
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