A Unified Training Process for Fake News Detection based on Fine-Tuned
BERT Model

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A Unified Training Process for Fake News Detection based on Fine-Tuned BERT Model

3 February 2022

Vijay Srinivas Tida

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Papers citing "A Unified Training Process for Fake News Detection based on Fine-Tuned BERT Model"

11 / 11 papers shown

Title
Transforming Fake News: Robust Generalisable News Classification Using Transformers C. Blackledge Amir Atapour-Abarghouei 42 14 0 20 Sep 2021
Deep Learning Based Text Classification: A Comprehensive Review Shervin Minaee Nal Kalchbrenner Min Zhang Narjes Nikzad M. Asgari-Chenaghlu Jianfeng Gao AILaw VLM AI4TS 106 1,103 0 06 Apr 2020
Hyper-Parameter Optimization: A Review of Algorithms and Applications Tong Yu Hong Zhu AAML 72 538 0 12 Mar 2020
Detecting Fake News with Capsule Neural Networks Mohammad Hadi Goldani S. Momtazi Reza Safabakhsh 153 120 0 03 Feb 2020
Localization of Fake News Detection via Multitask Transfer Learning Jan Christian Blaise Cruz Julianne Agatha Tan C. Cheng 55 34 0 21 Oct 2019
Why gradient clipping accelerates training: A theoretical justification for adaptivity J.N. Zhang Tianxing He S. Sra Ali Jadbabaie 76 464 0 28 May 2019
Fake News Early Detection: An Interdisciplinary Study Xinyi Zhou Atishay Jain V. Phoha R. Zafarani 77 207 0 26 Apr 2019
Fake News Detection on Social Media using Geometric Deep Learning Federico Monti Fabrizio Frasca D. Eynard Damon Mannion M. Bronstein GNN 90 464 0 10 Feb 2019
A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities Xinyi Zhou R. Zafarani 97 281 0 02 Dec 2018
Automatic Detection of Fake News Verónica Pérez-Rosas Bennett Kleinberg Alexandra Lefevre Rada Mihalcea 72 781 0 23 Aug 2017
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection William Yang Wang HILM GNN 94 1,363 0 01 May 2017

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