A unified approach for detection of Clickbait videos on YouTube using cognitive evidences-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A unified approach for detection of Clickbait videos on YouTube using cognitive evidences

Published:2021-01-02 Issue:7 Volume:51 Page:4214-4235
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Varshney Deepika,Vishwakarma Dinesh Kumar^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-020-02057-9.pdf

Reference44 articles.

1. Sisodia DS (2019) Ensemble learning approach for Clickbait detection using article headline features. Informing Sci Int J an Emerg Transdiscipl 22:31–44

2. Papadopoulou O, Zampoglou M, Papadopoulos S, Kompatsiaris Y, & Denis Teyssou. (2018). InVID Fake Video Corpus v2.0 (Version 2.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.1147958

3. Zhang DY, Song L, Li Q, Zhang Y, Wang D (2018) Streamguard: A bayesian network approach to copyright infringement detection problem in large-scale live video sharing systems. In 2018 IEEE International Conference on Big Data, Seattle, pp 901–910. https://doi.org/10.1109/BigData.2018.8622306

4. Papadopoulos SA (2019) Towards Automatic Detection of Misinformation in Social Media. arXiv:1909.01543. https://export.arxiv.org/pdf/1909.01543

5. Papadopoulou O, Zampoglou M, Papadopoulos S, Kompatsiaris Y (2017) Web video verification using contextual cues. In Proceedings of the 2nd International Workshop on Multimedia Forensics and Security, pp 6–10. https://dl.acm.org/doi/10.1145/3078897.3080535

Cited by 37 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Clicks for money: Predicting video views through a sentiment analysis of titles and thumbnails;Journal of Business Research;2024-10

2. A Literature Review on Clickbait Detection Techniques for Social Media;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

3. Product Spam on YouTube: A Case Study;Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval;2024-03-10

4. A deep learning framework for clickbait spoiler generation and type identification;Journal of Computational Social Science;2024-03-07

5. Optifake: optical flow extraction for deepfake detection using ensemble learning technique;Multimedia Tools and Applications;2024-02-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3