Paige

MU Jewelry & Metals

[paytonkillianmu]

OWP - Week 12

What are your ideas/suggestions for graphing your data so it's reported in multiple, meaningful ways?

I plan to represent my data using a mix of bar graphs, line graphs, and possibly pie charts to highlight different patterns. For example, bar graphs can compare performance across content creators, while line graphs can show trends over time (like engagement growth). Pie charts could help visualize proportions, such as types of content posted. Using multiple formats allows me to present the same dataset from different perspectives, making patterns easier to understand and strengthening my overall analysis.

[thablairwitch]

I like your approach of utilizing multiple types of charts for your data. I’ve been working with line graphs to be able to more clearly see spikes and dips in my data, but I might try adding in other types of charts to get some variation.

[kaitlynfoy]

Original Content Post #2

what are your ideas/suggestions for graphing your data so it's reported in multiple, meaningful ways? #writ318mu #week12

For starters, there should be multiple graphs with information taken from the content we are studying. As for these graphs, I feel each project will have different types of graphs because of the different content choices we have made. For example, my project would benefit mostly from pie charts and bar graphs. It would better explain what point I'm trying to get across. I feel like labels are also important for the reader to understand what's going on, and a caption underneath each one. You could make graphs for each of the three influencers or content creators separately, and then make one to compare them as a whole as well. This all depends on the content strategy you're looking at, what type of content, and which platform you chose to collect the data from.

[thablairwitch]

I like your approach to using graphs and which ones seem to work well with your data. I’m also planning on using labels in this project, I think that’s something my practice project lacked so I’m looking forward to trying this out to get clearer writing overall.

[thablairwitch]

What is data within your space? How does it impact your analysis?

Data within YouTube is the number of views, likes, and comments that individual people use to interact with videos that they either like/dislike. The option to dislike a video is also a feature that viewers can use but these days it’s unlikely you’ll see a dislike count. This is important for my analysis because paying attention to what types of videos are pulling higher views, can tell me what type of content specific audiences are looking to interact with the most. This allows me to understand which videos are more likely to perform well from a creator within the genre of content I’m analyzing in my project.

[thablairwitch]

What elements of data matter in your space? Why?

Since I’m working with YouTube channels the main elements of data that matter would mainly be views, likes, and comments. In my project, I’m focusing on views counts because I feel like it’s the best way to see how the majority of people are interacting with posts. When it comes to YouTube, people engage through likes and comments but I think it’s a lot less common than a platform like instagram. I think this is clear in the ratio between views and likes on a single video, many people will watch a video but a fraction of them will leave a like and even less will leave comments.

[thablairwitch]

What are your ideas/suggestions for graphing your data so it’s reported in multiple meaningful ways?

Right now, I have each YouTube channel I’m working with graphed individually rather than all together in one graph so that it’s easier to see trends across all three channels since they all have different sized audiences. This has made it easier to see if there’s an overall trend when it comes to specific topics. Keeping the channels graphed individually has helped keep me more organized and has lowered my chances of getting myself confused. If I were to make a graph that included all three channels for one specific topic, such as views, the graph would end up being unhelpful since one channel I’m working with has a significantly higher viewership than the other two.

[thablairwitch]

What Is Meaningful Data To Answer/Address Your Research Question?

My approach when answering my research question is to come at the data from an angle of if more people will view a paranormal themed video that is covering real listener stories, will they be more likely to watch the video because will this be more likely to gain the viewer’s trust? Or will the viewers be more open minded to the video? I think this perspective makes the number of views more meaningful as it shows more of a human connection rather than just a view count.

[thablairwitch]

Thursday Check-In

What is your research question? How can I help you revise it further?

Research Question: If a video title mentions there will be stories from real people, will it garner more views?

I am covering 3 YouTube channels that focus on paranormal topics and will cover researched historical topics and also real listener stories. I guess my main question or concern with my research question is just that I’m wondering if there’s a way to make this a little more interesting. Someone had mentioned taking a look at the thumbnails and how they add to the data, which I’m thinking about adding into my analysis. I’m not sure if my research question is too cut and dry.

@npfannen

[thablairwitch]

How Will Your Research Question Add To The Ongoing Conversation About Content Strategy?

So I had to pivot with my research and I ended up changing the accounts I’m working with, but I ended up picking three different paranormal themed podcasts on YouTube. My research question is: If a video title mentions there will be stories from real people, will it garner more views? I think this adds to the conversation about content strategy because it will show whether viewers are more likely to click on a video about a paranormal topic if it’s coming from other alleged real everyday people. This could show if this brings the viewer a sense of trust by sharing stories from other people that could be similar to them.

[jilliandolan]

Original Content Post #3

Audience Analysis - who are we as students of this course, as an audience? Practice your audience analysis by provided details you've gained about your classmates through your interactions with them in this space.

I have noticed that the interaction's I've had with my classmates on tumblr is sparked by specific things. I recieve the most responses when I provide a blunt or very out there opinion/discovery of mine. Often times this will result in engagement where they agree or have suggestions of their own. Above that, though, I receive the most engagement when I ask questions in my prompt. This gives my classmates a reason to join the discussion and give details of their own experiences (which is very helpful!!). When I do not ask questions and am just answering a prompt, I don't get many responses at all - probably because there is nothing to say about it or I may have said ti all.

[thablairwitch]

I like this response because I’ve noticed the exact same thing too. I’ve actually started to enjoy it and I’ve felt like it’s gotten me a little more comfortable with being more blunt and less nervous about how people will engage with what I have to say. I think people respond better to a post that actually sounds like it’s coming from a real person.

[thablairwitch]

How Are You Narrowing Your Account Choices?

When choosing the accounts I will be working with in this new project, I wanted to stick to one singular platform instead of crossing because I honestly just wanted to keep the data straightforward. I chose to do three YouTube channels, I’m looking forward to working with a different platform since the data collection process might look a little different this time. I also chose some relevant channels to me that I’ve been watching lately and that all have somewhat of a similar theme between them. Each of them consist of current events in one way or another and I wanted to explore how people are interacting with different types of videos relating that theme.

[jeffharley5]

Peer request 2/2

I would like feedback on whether my audience analysis clearly explains who the intended audience is and why. Does my interpretation of the engagement data make sense when I connect it to student interests and campus culture? I would also appreciate suggestions on whether my insights about web writing and engagement are convincing and supported by the data. Finally, does my conclusion effectively summarize the importance of data-driven communication, or are there ways I could make the final takeaway stronger?

[thablairwitch]

I think what you have is easily understandable and also very honest, which I appreciate. I like that you mentioned which type of student would be more likely to engage with a social media post relating to the involvement fair - a student seeking connection, a sense of belonging, and someone who is already engaged in campus life. Your conclusion is honest and clear and as the reader to this short portion on your writing, I feel like I can relate to it. Good job!!

[alecwebwriter]

Original Content Post (Peer Review 3) Often, when writing my hypotheses, I use the format of an "if..then..because.." statement as it explains both what the expected action, result, and cause of the result. Is it necessary for this to be directly stated? I originally thought to include it to offer more insight to the audience on how to read the hypothesis being proposed, but I am now wondering if it is unnecessary information that the paper could do without. To keep in, or not to keep in? That is the question.

[thablairwitch]

I personally don’t think it’s very necessary to keep it in. I think on one hand it does make it clear, but I also think what you’ve written would still get your point across just fine without it. For the most part, I think the audience will have background knowledge on how a hypothesis is usually structured, so I think it still makes perfect sense if you kept it out.

[thablairwitch]

Share An Example Of A Data Piece You Recorded That Surprised You

I thought it was interesting taking notice to the fact that some social media posts can be discerned easily between each other by looking at the number of likes they have but the numbers of shares can be similar. For example, in my data set I have a post that has about 400 likes and compared to a post with 200 likes, the number of shares are pretty much the exact same. It seems that it could be the same people continuously interacting with these posts each time. The number of likes will set posts apart but shares seem to stay at seemingly average rate.

[thablairwitch]

Share What Trends You Are Seeing In The Data

I’m analyzing @millersvilleu on instagram and I’ve noticed that the highest performing posts within my set of data, are either related to offering resources to students, or helping students get involved and connect on campus. The lower performing posts are some of the relatable TikTok/Reels adjacent posts that seem to sometimes target specific types of students, filtering out other viewers/followers.

[thablairwitch]

Thursday Check-In

What questions do you have about the conclusions you’re drawing?

So, my hypothesis wasn’t entirely wrong but it wasn’t entirely correct either. My hypothesis was: When posting about campus events, @millersvillemu will gain more shares thus boosting account visits. I focused on analyzing the amount of shares between each post, and the campus event related posts fell just above the median but not the top data. Does this mean my hypothesis is incorrect? After analyzing, I guess I realized my hypothesis wasn’t so cut and dry as to say if it’s right or wrong so I feel a little lost about my conclusion.

@npfannen

[thablairwitch]

Share How You Are Adapting Your Writing Process To Successfully Draft This Assignment

As of right now, I don’t think my hypothesis is entirely correct based on all the data I collected, it’s more of an in between. For context, I’m using the @millersvilleu instagram page and my hypothesis is relating on-campus events and the amount of shares related to those types of posts. The data I collected has situated my hypothesis sort of in the middle, not completely untrue but not entirely true based on all of my data. How I’ve been going about writing my essay is that I’ve just been going through the highest performing posts with shares to the lowest and comparing this information with the different engagement indicators in Capriotti’s article. I think the writing portion has been a little confusing because my hypothesis isn’t entirely correct, so working around it and explaining my data regardless has been a challenge.

[thablairwitch]

Explain How Data-Driven Writing Will Help You In Your Post-Undergrad Life

I think it’ll allow me to think more critically about different types of information and recognize patterns within information and data. I think for me personally, if I decide I want to make a dedicated social media page and I wanted to try to build a following through it, I think I could definitely think back to working through this process and notice how it would help me become more aware of how to reach an audience. More generally, I do this assignment so far is helping me understand the overall reasoning for why data collection is important outside of just working through the practice project.