NSIT@NLP4IF-2019: Propaganda Detection from News Articles using Transfer Learning (original) (raw)

Sentence-Level Propaganda Detection in News Articles with Transfer Learning and BERT-BiLSTM-Capsule Model

George Alexandru Vlad

Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda, 2019

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UPB at SemEval-2020 Task 11: Propaganda Detection with Domain-Specific Trained BERT

Andrei Paraschiv

Proceedings of the Fourteenth Workshop on Semantic Evaluation

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Neural Architectures for Fine-Grained Propaganda Detection in News

Usama Yaseen

Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda, 2019

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newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature Representations for Propaganda Classification

Paramansh Singh

2020

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Detection of Propaganda from News Articles using Deep Learning

WARSE The World Academy of Research in Science and Engineering

International Journal of Advanced Trends in Computer Science and Engineering, 2020

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Combating propaganda texts using transfer learning

Dia Abujaber

IAES International Journal of Artificial Intelligence (IJ-AI)

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Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection

Preslav Nakov

Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda

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UMSIForeseer at SemEval-2020 Task 11: Propaganda Detection by Fine-Tuning BERT with Resampling and Ensemble Learning

Cristina Garbacea

2020

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Transformers at SemEval-2020 Task 11: Propaganda Fragment Detection Using Diversified BERT Architectures Based Ensemble Learning

Souradip Chakraborty

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

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UAIC1860 at SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles

Daniela Gifu

Proceedings of the Fourteenth Workshop on Semantic Evaluation

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HQP: A Human-Annotated Dataset for Detecting Online Propaganda

Abdurahman Maarouf

arXiv (Cornell University), 2023

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Fine-Grained Analysis of Propaganda in News Article

Preslav Nakov

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

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UNTLing at SemEval-2020 Task 11: Detection of Propaganda Techniques in English News Articles

Alexis Palmer

2020

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A Deep Transfer Learning Approach for Fake News Detection

Tanik Saikh

2020 International Joint Conference on Neural Networks (IJCNN), 2020

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PsuedoProp at SemEval-2020 Task 11: Propaganda Span Detection Using BERT-CRF and Ensemble Sentence Level Classifier

Harshita Diddee

Proceedings of the Fourteenth Workshop on Semantic Evaluation

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Developed Models Based on Transfer Learning for Improving Fake News Predictions

Ban N . Dhannoon

Journal of Universal Computer Science, 2023

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Proppy: Organizing the news based on their propagandistic content

Preslav Nakov

Information Processing & Management, 2019

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Localization of Fake News Detection via Multitask Transfer Learning

Charibeth Cheng

2020

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syrapropa at SemEval-2020 Task 11: BERT-based Models Design for Propagandistic Technique and Span Detection

Jinfen Li

2020

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Benchmark Dataset for Propaganda Detection in Czech Newspaper Texts

Aleš Horák

Proceedings - Natural Language Processing in a Deep Learning World, 2019

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Transfer Learning : The Impact of Test Set Word Vectors , with Applications to Political Tweets

Nikhil Garg

2016

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Propaganda Detection in Text Data Based on NLP and Machine Learning

Євген Буров

2020

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Fusing Stylistic Features with Deep-learning Methods for Profiling Fake News Spreader

Daniel Castro

2020

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An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning

minni jain

arXiv (Cornell University), 2022

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Interpretable Propaganda Detection in News Articles

Preslav Nakov

Proceedings of the Conference Recent Advances in Natural Language Processing - Deep Learning for Natural Language Processing Methods and Applications, 2021

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Context-Aware Misinformation Detection: A Benchmark of Deep Learning Architectures Using Word Embeddings

Ciprian-Octavian Truică

IEEE Access, 2021

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Classification of Fake News by Fine-tuning Deep Bidirectional Transformers based Language Model

mamta mittal

ICST Transactions on Scalable Information Systems

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Lumen: A Machine Learning Framework to Expose Influence Cues in Text

Luiz Giovanini

ArXiv, 2021

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FakeStack: Hierarchical Tri-BERT-CNN-LSTM stacked model for effective fake news detection

Hasibul Hossain Shajeeb

PLOS ONE, 2023

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It’s All in the Embedding! Fake News Detection Using Document Embeddings

Elena-Simona APOSTOL

Mathematics

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Identification of Biased Terms in News Articles by Comparison of Outlet-specific Word Embeddings

Bela Gipp

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Politicians-based Deep Learning Models for Detecting News, Authors and Media Political Ideology

khudran alzhrani

International Journal of Advanced Computer Science and Applications, 2022

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