Visual Attributes of Thumbnails in Predicting YouTube Brand Channel Views in the Marketing Digitalization Era-Reference-Cited by-同舟云学术

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Visual Attributes of Thumbnails in Predicting YouTube Brand Channel Views in the Marketing Digitalization Era

Published:2023 Issue: Volume: Page:1-9
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Jang Ha Eun¹,Kim Seung Ho²,Jeon Jong Seok³,Oh Joo Hee⁴^ORCID

Affiliation:

1. School of Communication Arts, Handong Global University, Pohang, Republic of Korea

2. School of Information Communication Technology, Handong Global University, Pohang, Republic of Korea

3. School of Convergence Science and Technology, Pohang University of Science and Technology, Pohang, Republic of Korea

4. School of Management and Economics, Handong Global University, Pohang, Republic of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/6780646/10173777.pdf?arnumber=10173777

Cited by 3 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. Producing Videos that Pop;Strategic Social Media Management;2024

2. BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients;Scientific Reports;2023-12-18

3. A Data-Driven Approach to Predict Social Impact of Rural Tourism: Insights from UNWTO’s Video Campaigns;2023 IEEE International Conference on Big Data (BigData);2023-12-15

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