Dee

Though I am still analyzing my data, so far based on subscriber amount views, and likes, when it comes to YouTube Video Game content, the audience seems to enjoy long videos that are edited down versions of twitch streams. This could be because they are long content that can hold attention, but not overly long like a twitch stream. Most twitch streams can be five hours long, while these videos are at max about 2 hours, and at minimum are about 20 minutes. These videos could perhaps be listened to while working on something else, while shorter ones could be watched on a lunch break.

For the data I collected for this project, I believe bar graphs will be the best form of graph to show my content strategy conclusions. I may need to use several sets in order to compare different data points, such as one for likes, and one for views. I am still trying to put together graphs and am debating on whether using averages or raw data will best help reach a proper conclusion.

@npfannen

From my understanding, after collecting data, content strategy is a strategy one uses to approach content creation, managing, and sharing. This could include a number of things such as strategically using a certain image in your posts, or using certain words in your web writing to draw in a certain audience. There are many different factors in content strategy, and not everyone will use the same strategy. Each person may have a different strategy that works for them.

To determine meaningful data, I'm looking at what data can help answer or help me gain insight on my research question. I'm looking at what data can show engagement and enjoyment of a video, and shows me how successful the video was with the audience.

There's a few bits of meaningful data to watch and record in order to answer my research question. Likes are the most obvious, its the easiest way to see if people enjoyed the video enough to engage with it. Comments are also important, just seeing how often the audience comments or interacts. Views are also very important data, as it shows if the video caught the audience's attention enough for them to click on it, which can help show if a title or thumbnail was catchy.

I think my research question will help me collect data as I know what I should be focusing on as I collect data. I know I want to see what parts of content may affect engagement, so because of that I will vary what videos I collect data for more, and therefor will have more varied data as well. I will also hopefully gain an understanding of what causes variety in the data.

@npfannen

Hello! I was wondering when choosing content creators or accounts for the data we will be looking at for this project, do you think its best to chose creators all on the same platform, or maybe have one from each? Would studying data from different platforms aid the data or muddy it up? @npfannen

When it comes to the accounts I'm choosing for the research project, I am looking at accounts or content creators I am somewhat familiar with. I admittedly do not know many Youtubers or Tiktokers, but I feel like using one a vaguely know or watch the content of will help me better retain my energy to research the data. I know there is the concern of us burning ourselves out on a content creator we enjoy by researching them, but I struggle to work on things if they do not catch my interest. I'll feel like I'm forcing myself to work. I hope using a content creator I know's account will help me retain motivation for this project.