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A Study on Story propose model based on Machine Learning - Focused on YouTube

  • Received : 2021.04.19
  • Accepted : 2021.04.27
  • Published : 2021.05.31

Abstract

YouTube is an OTT service that leads the home economy, which has emerged from the 2020 Corona Pandemic. With the growth of OTT-based individual media, creators are required to establish attractive storytelling strategies that can be preferred by viewers and elected for YouTube recommendation algorithms. In this study, we conducted a study on modeling that proposes a content storyline for creators. As the ability for Creators to create content that viewers prefer, we have presented the data literacy ability to find patterns in complex and massive data. We also studied the importance of compelling storytelling configurations that viewers prefer and can be selected for YouTube recommendation algorithms. This study is of great significance in that it deviated from the viewer-oriented recommendation system method and proposed a story suggestion model for individual creaters. As a result of incorporating this story proposal model into the production of the YouTube channel Tiger Love video, it showed a certain effectiveness. This story suggestion model is a machine learning text-based story suggestion system, excluding the application of photography or video.

Keywords

References

  1. Hee-yoon Noh, "Analysis of domestic OTT service usage status -Focused on Youtube", Information and Communication Broadcasting Policy, KISDI, 2019.
  2. Seung-Jung Shin, "SNS using Big Data Utilization Research.", The Journal of The Institute of Internet, Broadcasting and Communication (JIBC), Vol. 12. No.6. pp 267-272. Dec 2012. DOI: http://dx.doi.org/10.7236/JIWIT.2012.12.6.267
  3. YooJung Kim, "The interaction effect of product type and contents genre on consumer responses: Focused on YouTube branded contents.", Innovation studies, Vol.14. No.4. pp. 97 - 117. 2019. DOI: https://doi.org/10.46251/INNOS.2019.11.14.4.97
  4. Hye-yung Kim, " Type and strategy of storytelling in mobile video contents about science and technology : focused on activity-centered video on YouTube", Kocon, pp. 177-178, 2019, ISSN 2234-2001, May 2019
  5. D'Ignazio, "Approaches to building big data literacy.", Proceedings of the Bloomberg data for good exchange conference, 2015
  6. Eun-mee Kim, "The Effects of Online Networks and Internet Literacy on Adolescents' Online Participation.", Korean Journal of Journalism & Communication Studies (KJJCS), Vol. 61. No.3. pp 121-154. 2017. DOI: http://doi.org/10.20879/kjjcs.2017.61.3.004
  7. Sang Woo Han, "A Study about the Concept of Data Literacy based on Digital Humanities.", Journal of the Korean Society for Information Management (JKOSIM), Vol. 35. No.4. pp 223-236. 2018. DOI: https://doi.org/10.3743/KOSIM.2018.35.4.223
  8. Eun-Ji Bae, "The Effects of SNS Storytelling Composition Factors on Para-social Interaction, Attitude and WOM Intention: A Case Study of Beauty YouTube.", The Journal of the Korea Contents Association, Vol. 20. No.1. pp 16-24. 2020. DOI: https://doi.org/10.5392/JKCA.2020.20.01.016
  9. Mi-Kyung Kim, "The data gap in the platform data ecosystem: beyond digital inequality", Communication Theory.", Vol. 16. No.4, pp.5-45. 2020. DOI: https://doi.org/10.20879/ct.2020.16.4.005
  10. Seoeyon CHOI, "A Study on Expansion Proposal of Data Dividend Qualification Based on the Contributio n of Platform Workers.", The Journal of The Institute of Internet, Broadcasting and Communication (JIBC), Vol. 12. No. 6. pp 267-272. Apr 2021. https://doi.org/10.7236/JIWIT.2012.12.6.267