My Student Tumblr

My question is, would it be preferable if I made separate graphs to represent each content creator, before I made the averages? Should I eschew the individual accounts and just make a statement that the trend was common throughout?

I would say I do the same. If I focus on ALL of the sections at once, my attention becomes too fragmented, and my work suffers. By tackling the assignment one section at a time, I just do better. HOWEVER, there is one major obstacle I'd like to highlight - when you work on these sections one at a time, you need to make extra sure that the flow of the project is uniform throughout. If each section is discordant, you might end with a bad mix of returning to the same topic over and over again.

In my drafting and revising, I realized that every week was a different section that I focused on - week 1 was the main structure and rough draft. Week 2 I revisited the graphs and other visuals. Week 3 of the project, I focused on my arguments. In essence, while I know we are revising the complete paper every time, it might be good to go into these creative processes with a specific goal for each revision!

You will always be revising in your work. Whether you're creating inter-company emails, viral social media posts, data-heavy research essays, or even texting your family and friends, you will always be revising. It only helps you to refine your revision process (yes, even revise your process!) and use the resulting methods to make your content as persuasive as possible!

But seriously, for my argument, I try to build credibility with the data. If my quantitative research is refined into useable data, it should be helpful to build a solid foundation for the argument, as well as setting the stage for my qualitative data. While less defined, qualitative data should be a refining finisher to your argument. If you're using it as your main or only part of your argument, it may seem weak if others don't agree with your assessment.

While this is a step to my process, I also like to bounce my ideas off others. My wife is a great way to critically think about my work. If I'm at a loss for new ideas or content for my work, I plug my project into an AI with the prompt of "I'm working on this project for my Web Writing class. Analyze and give me suggestions for improvement." I'll even copy/paste the feedback my peers and instructors have given me to help highlight my problem areas. I should note, at no point do I generate content from the AI, and neither should you. AI is a decent assistant, but never have it do the work for you. It is notorious for making mistakes that someone with in-depth understanding of a subject would not overlook, and it can very easily tank your education!

My research question is what kind of content generates the most discourse? My data elements include the content, what kind of interaction the content is aiming for, and the resulting discourse. With these data elements I hope to find what posts generate the most discourse. Tracking comments, I might have to go more in depth with the nature of the discourse as well, but I'm trying to limit my scope to save myself a headache later!

For my project, I'm focusing on the message of these posts in relation to audience discourse - essentially, what is in the content vs how it generates discourse. While likes can be helpful for this, the type of message and tone are both relevant and qualitative. Additionally, comments and reposts are relevant. In contrast, overall views and subscriber count might be less helpful for my analysis.

Use multiple forms of data chart as able. Line charts to show trends, graphs for quantitative visuals. However, that's only for data. Use other visuals to keep your presentation interesting. If you've got a wall of text, break it up with some images that connect to your message. We're not just presenting information - we're presenting to an audience!

This suggests a lengthy conclusion page is necessary, because while I can still measure likes, comments, and reposts, each post is potentially tainted by other sources. Perplexing!

I will be using subheadings devoted to analyzing the content, the audience, and then more importantly justifying my position! All the qualitative data in the world is meaningless if you don't have a succent explanation for it! I hope to use my subheadings to help navigate my own target audience through the complexities of the data, the trends, and what it says for the content as a whole!