A Pooled RNN-based Deep Learning Model based on Data Augmentation for Clickbait Detection-Reference-Cited by-同舟云学术

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A Pooled RNN-based Deep Learning Model based on Data Augmentation for Clickbait Detection

Published:2023-04-30 Issue:4 Volume:21 Page:45-56
ISSN:1598-8619
Container-title:The Journal of Korean Institute of Information Technology
language:en
Short-container-title:jkiit

Author:

Kim Jeong-Jae,Park Sang-Min^ORCID,On Byung-Won^ORCID

Funder

National Research Foundation of Korea

Ministry of Science and ICT

Publisher

Korean Institute of Information Technology

Subject

General Medicine

Reference16 articles.

1. Donald J. trump on twitter, https://twitter.com/realdonaldtrump/status/807588632877998081?lang=en [Accessed: Dec. 01, 2016]

2. This analysis shows how viral fake election news stories outperformed real news on facebook, https://www.buzzfeed.com/craigsilverman/viralfake-election-news-outperformed-real-news-on-facebook?utm_term=.sgr3XNKWw.rl4xGwy6L. [Accessed: Nov. 01, 2016]

3. I. Goodfellow, Y. Bengio, and A. Courville, "Deep learning(adaptive computation and machine learning series)", MIT Press, 2016.

4. Fake news challenge, http://www.fakenewschallenge.org. [Accessed: Jun. 01, 2017]

5. When Fake News Becomes Real

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1. A Posture Similarity Analysis Scheme based on the Confidence Score of Human Body Keypoints;The Journal of Korean Institute of Information Technology;2023-12-31

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