From Fake to Hyperpartisan News Detection Using Domain Adaptation

4 August 2023

Papers citing "From Fake to Hyperpartisan News Detection Using Domain Adaptation"

9 / 9 papers shown

Title
Domain Adaptive Fake News Detection via Reinforcement Learning Ahmadreza Mosallanezhad Mansooreh Karami Kai Shu M. Mancenido Huan Liu 33 73 0 16 Feb 2022
Do Prompt-Based Models Really Understand the Meaning of their Prompts? Albert Webson Ellie Pavlick LRM 79 361 0 02 Sep 2021
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 341 24,160 0 26 Jul 2019
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 88 2,306 0 29 Apr 2019
Automatic Detection of Fake News Verónica Pérez-Rosas Bennett Kleinberg Alexandra Lefevre Rada Mihalcea 52 779 0 23 Aug 2017
A Stylometric Inquiry into Hyperpartisan and Fake News Martin Potthast Johannes Kiesel K. Reinartz Janek Bevendorff Benno Stein 48 614 0 18 Feb 2017
Neural Machine Translation of Rare Words with Subword Units Rico Sennrich Barry Haddow Alexandra Birch 131 7,683 0 31 Aug 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 307 9,418 0 28 May 2015
Probabilistic Latent Semantic Analysis Thomas Hofmann 128 2,805 0 23 Jan 2013