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Original Post #2
Something that I learned about content strategy is that knowing your audience is key. The book tubers that I analyzed all understood who they were talking to, what that audience wanted and how they wanted to consume it. Another thing that I learned that I will highlight in the how to guide is that audience loyalty is a real thing, which I was completely surprised by. Newer book tubers who put out content 3-4 times a week and had very good audience interaction could still not compete in some areas with older channels with older followers. It showed that fresh and new doesn’t always mean more traffic and that feels important to bring up.
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Original post #1
Having a good revision process can help me moving forward beyond this class is a few ways that I can think of. First, a good revision process will allow me to view my work with a critical eye that can spot points of my writing that need improvement. Presumably, having the revision process will allow this to happen much more quickly as it becomes second nature. Secondly, having a revision process will allow me to go into witting with more confidence because I have a down pat process that works and I know I can rely on. Lastly, a revision process will allow me to be more adaptable in my writing because I have a plan.
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I had a few questions about adapting academic work for content creation purposes. One of the questions I have is how do I express the academic ideas and language to suit that of the audience without losing the impact and structure of the academic paper? I guess this would depend mostly on my audience but do you have any tips on how to express academic ideas in content without watering it down? Another question I had regarding the “how to” book we must write on present on canva is whether or not it is possible to blend fun elements in conjunction with serious, or academic, topics?
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This is very well read and it sounds like you have a really good grasp on the information you want to express and how it all works together.
Original Post Writing #3
How do these data elements answer your research question?
These data elements directly answer my research question by showing which post features drive engagement and visibility for freelance translators on LinkedIn.
Hashtag use, especially niche-specific ones, clearly increases interaction, supporting the idea that targeted language improves discoverability.
Post types reveal that educational and reflective content tends to spark more engagement, depending on the creator’s intent and audience.
Engagement metrics break down how people respond: likes signal approval, comments suggest connection, and reposts show endorsement.
Together, these patterns confirm that strategic choices in formatting, tone, and topic are what earn visibility, not just frequency or follower count. The data makes that clear.
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This is a really great strategy. Making all of those graphs is a great way of being able to visualize how the data points all correlate and gives you more information on the back end.
Original Content Post 1
what are your ideas/suggestions for graphing your data so it's reported in multiple, meaningful ways? #writ318mu #week10
One of the things that helped me the most was making graphs that represented every data point I needed. I made one graph for likes, one for views, and contemplated making one for approximate number of likes. It’s easier to view each data graph than just the raw data in a spread sheet. So, I would definitely suggest making graphs for every possible point of data to make it easier to view. When I was writing my first draft, my graphs naturally started to change a bit but it helped to have a natural starting point.
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I’ve also had similar findings which were kind of a surprise to me. I don’t spend much time on social media and i definitely don’t pay close attention to number of likes, comments and views on a video I’m watching. So it was definitely surprising to find that channels with more consistent content were not as popular as channels with slower yet, more quality based, output.
Original Post Pt.3
The elements of data that matter in my space are the quality of posts, the information being conveyed, and the consistency of posting on a regular basis. I have seen that if you have a good balance of all of these things, your account and product will be more successful and popular. Those that lack any of these tend to not be as popular.
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This is the best part about us being allowed to choose the content we wanted and are familiar with. It’s puts us in a unique position to have a first hand experience in who the audience is and what they want, like or love. Also makes it easier to present the information.
Original Post Pt.1
What matters about my audience is my understanding of them. I know what my audience is looking for since they are following these particular accounts. They all have things in common, and are all similar in how they use the product. They are following these accounts because they like or use the products, and/or are looking for more to purchase from them. Knowing this information will help direct the way I share the information with them.
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Original post
Because the content creators I am covering are science-fiction/ fantasy book tubers I will try to implement those elements into my HTWG. As someone who loves and respects the genre, I plan to have fun with the designing process and make sure it represents the space and the audience as best as possible. The niche of these specific book tubers makes it easier to target the appropriate audience as only people who love, like or, at least, show interest in sci-fi/ fantasy, meaning i feel comfortable that designing my HTWG in that way will be appreciated and appropriate.
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Original post
My idea for graphing my data so it’s reported in multiple ways is to try and express different ways in which all the data can relate to one another. By doing this, I believe the graph will show me relationships between the data that I hadn’t considered and add elements to my data collection that further expands the information.
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Original post
One of the elements that matters in a space such as YouTube is audience engagement. Likes, comments and views all represent audience engagement for every video and are great indicators for multiple avenues of research. Using my particular research question and hypothesis, the data can be used to support my claims very easily on a surface level and still allow me to dig deeper. Another other important element is the frequency in which content creators post content. The regularity in which new content is released, in correlation with the likes, views and comments, can tell hs so much about the content release strategy.
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Thursday check-in
The comments you left were helpful because they let me know that I was on the right track and where I could improve on. I was wondering if all of the subheadings applicable to both quantitative and qualitative method since broth methods focus on complete different sets of data?
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The first conclusion that I was able to draw pretty quickly after looking through the data was that more content does not equal more audience engagement. The data I’ve seen so far disproves my original hypothesis in an interesting and unexpected way which has engaged me and further to understand why one channel is more successful than any other. What are the things that actually matter?
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Original content
Something I learned about wiring a research question that can be answered through social media is that there are so many types data to analyze that’s the questions were sort of limitless. All the data, most of it, is available to you and you can sift through it as you see fit. It gives you many angles in which you can view, skew or support the numbers.
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As an avid book reader, mainly fantasy and sci-fi, I was thinking about doing this project based on book tubers. My question is whether it would be more beneficial to do book tubers who create content on a specific genre each, or could they all be fantasy/ sci-fi? Or does this depend on my research question?
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I do think that this a great place to intertwine your audience analysis from week 3. It would bolster your ideas and give some “umph” leading into the last part of your essay and probably leave the reader with some good insight following your graph’s analysis.
Original Content Peer Review Request 2
For this section of my analysis, I am talking about the content the web writer is posting and how it relates to the audience. This is my second to last paragraph and it is after I explained all my graphs and photos. Would this be a good spot to bring in more information from my audience analysis from week 3? Or should I make a new paragraph? Adding information like what the audience can gain from the post, how the content of the post will make them engage, and how their values/beliefs align. Then, bring in some of the data from the graphs.
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I think adding some context to the post of 12/5 could definitely be beneficial to the overall use of the three graphs together and individually. The audience could understand why that post was so popular in comparison to others and explain the relationship between the shared, comments and likes.
Original Content Peer Review Request 3
These are the three graphs I use in my analysis and I explain the data within each one. I also added images of the posts to support why they had more interaction than others. However, I do this individually looking at the likes, comments, and shares separately. Would it be beneficial to explain the post from 12/5/24 with details about the content and all three engagement types, since it has the most interaction? I am trying to find ways I can add more to my analysis to support my conclusion.
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I think this graph does a good job of what you’re needing it to do and it does look a little empty. Is there a way to add a faint color to the background and maybe bold and add color to the title? Maybe you could try playing some other graph styles that are more compact but still express the information in the way you want.
Original Content Peer Review Request One
I am wondering whether or not this graph is clear and easy to understand enough. With this graph I show the correlation between hashtags and likes for the ten posts I analyzed. I feel like it is pretty straightforward and easy to understand, but looks a bit empty. Should I maybe add something to this graph? The one thing I was thinking about doing was labeling each post with a description, instead of just post one, post two, etc. Before submitting this in my final draft I also have to figure out how to remove the column 1 from the legend of the chart as it is not needed.
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