원문정보
초록
영어
The five elements of big data are said to be Volume, Variety, Velocity, Veracity, and Value. Among them, data lacking the Veracity of the data or fake data not only makes an error in decision making, but also hinders the creation of value. This study analyzed YouTube's revenue structure to focus the effect of data integrity on data valuation among these five factors. YouTube is one of the OTT service platforms, and due to COVID-19 in 2020, YouTube creators have emerged as a new profession. Among the revenue-generating models provided by YouTube, the process of generating advertising revenue based on click-based playback was analyzed. And, analyzed the process of subtracting the profits generated from invalid activities that not the clicks due to viewers' pure interests, then paying the final revenue. The invalid activity in YouTube's revenue structure is Raw Data, not pure viewing activity of viewers, and it was confirmed a direct impact on revenue generation. Through the analysis of this process, the new Data Value Chain was proposed.
목차
1. Introduction
2. Veracity of Data
2.1. Raw Data
2.2. Big Data 5V
3. The revenue model of Youtube
4. How to monetize YouTube: AdSense ads
4.1. Revenue model based on number of Video Views.
4.2. Definition the amount of advertising revenue
5. YouTuber revenue adjustment
5.1. What is invalid activity?
5.2. Correction of invalid activity
5.3. Conceptual diagram of revenue payment after adjustment
6. How to monetize YouTube
7. Conclusion
References