Abstract: YouTube connects people with each other through an online video sharing service platform. With the great devel-opment of the entertainment industry, content on YouTube is accessible to many people of different ages. However, verifying the content posted on YouTube is clean or not is a difficult problem. Dirty content is violent, pornographic and vulgar content that causes serious psychological harm to the segment of users under the age of 18, i.e., especially those of an age who are not yet aware of the harmful effects of content. Toxic will bring to the child’s behavior. Agree that Google (i.e., YouTube) has developed a YouTube Kid application where the videos are only for children under the age of 13. However, cultural and educational differences between regions strongly influence the choice of children. Select content for children. Therefore, the content restrictions on the YouTube Kid application have not yet met all the requirements of parents around the world. There have been many development directions to identify videos containing malicious content based on deep learning. However, there is no method to build a tool to support parents of children to share and identify videos with objectionable content (e.g., violence, pornography, obscene words) on the YouTube platform. In this research paper, we introduce YVC, a YouTube-verified content platform by applying blockchain’s distributed, public validation. This tool helps parents validate YouTube content and issue a report to reduce dirty content on YouTube. To demonstrate the effectiveness of our approach, we implement the proof-of-concept in the three most popular EVM platforms: Ethereum, Fantom, and the Binance smart chain. Compared to the YouTube Kids (i.e., the most common shared video platform for the under 13-year-old kid), our approach is able to capture the video preferences of the parents covering the difference areas/countries.

Phuc Nguyen Trong, Hong Khanh Vo, Luong Hoang Huong, Khiem Huynh Gia, Khoa Tran Dang, Hieu Le Van, Nghia Huynh Huu, Tran Nguyen Huyen, The Anh Nguyen, Loc Van Cao Phu, Duy Nguyen Truong Quoc, Bang Le Khanh and Kiet Le Tuan. “Towards an YouTube Verified Content System based on Blockchain Approach”. International Journal of Advanced Computer Science and Applications (IJACSA) 13.11 (2022). http://dx.doi.org/10.14569/IJACSA.2022.0131185

@article{Trong2022,
title = {Towards an YouTube Verified Content System based on Blockchain Approach},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0131185},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0131185},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {11},
author = {Phuc Nguyen Trong and Hong Khanh Vo and Luong Hoang Huong and Khiem Huynh Gia and Khoa Tran Dang and Hieu Le Van and Nghia Huynh Huu and Tran Nguyen Huyen and The Anh Nguyen and Loc Van Cao Phu and Duy Nguyen Truong Quoc and Bang Le Khanh and Kiet Le Tuan}
}