Feb 16, 2022 · In this work, we address the limitations of existing automated fake news detection models by incorporating auxiliary information (eg, user comments and user- ...
Sep 7, 2024 · The goal of this model is to leverage a small portion of the target domain data to train an auto-encoder for learning domain-independent feature ...
Apr 25, 2022 · In this work, we address the limitations of existing automated fake news detection models by incorporating auxiliary information (e.g., user ...
This work addresses the limitations of existing automated fake news detection models by incorporating auxiliary information into a novel reinforcement ...
Duration: 12:47
Posted: Sep 12, 2022
Posted: Sep 12, 2022
Apr 25, 2022 · Bidirectional Encoder Representations from Transformers (BERT) is a DL model designed to generate text, analyze sentiment, and understand ...
DAFD: Domain Adaptation Framework for Fake News Detection. 3 stars 0 forks Branches Tags Activity.
In this paper, we propose a Memory-guided Multi-view Multi-domain Fake News Detection Framework (M 3 FEND) to address these two challenges. Fake News Detection.
Jul 9, 2023 · Domain adaptive fake news detection via reinforce- ment learning. In Proceedings of the ACM Web Con- ference 2022, pages 3632–3640. Saeid ...
Jul 8, 2024 · This research explores the effectiveness of supervised learning and reinforcement learning models in detecting fake news, which is a growing concern in the ...