B "CONTENT ANALYSIS ON THE YOUTUBE CHANNEL DREAMS OF DAY"

Authors

DOI:

https://doi.org/10.25139/jcs.v3i1.7847

Keywords:

Content, Youtube, Gaming

Abstract

In this case, the author found a social media channel called Dreams Of Day in developing its potential in the gaming category, which has several content aspects that contain visual effects and memes that are different from content creators in general. The author's interest in researching this channel is that the channel is brave enough to display different content, especially in the gaming category on a platform that is currently popular, namely YouTube. YouTube itself has given birth to many content creators, usually called YouTubers, who provide interesting content in various forms. YouTube itself values all content creators who use the platform, and because we value all content creators who use the platform, joining YouTube itself is free of charge. YouTube also pays content creators in the form of Adsense to content creators who meet their categories. In this research, the researcher decided to use semiotic analysis, namely the meaning of signs including hidden things or specific intentions and Peirce's semiotic theory is a science or method of analysis that discusses sign systems. The subject of this research is the Dreams Of Day YouTube account, data collection was obtained from observations and interviews. Based on the discussion above, the author concludes that Dreams Of Day has lots of different visual effects and memes in each content it creates. This is influenced by several factors such as certain factors, such as the large number of content creators, especially in the gaming category, who use the same elements and just like that, which results in almost a lot of content being packaged the same and just like that, only with different perspectives, from these observations the channel youtube Dreams Of Day decided to do something different.

Downloads

Published

2025-01-15

How to Cite

B "CONTENT ANALYSIS ON THE YOUTUBE CHANNEL DREAMS OF DAY". (2025). Journal Communication Specialist, 3(1), 171–174. https://doi.org/10.25139/jcs.v3i1.7847

Issue

Section

Articles

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.