RE: Introducing Hive Report Card: A Tool to Analyse Content Complexity, User History, and More!
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What I find helpful from my writing perspective is self-flagellating by giving myself awful feedback :P
And never truly finishing my ideas, or polishing them. But I do have a large back catalogue of content on hive, and digging through it is so difficult with the standard front ends, so that was the main motivator for pulling this all together and stitching code snippets from different places together.
Combined with my professional experience in analytics and natural language processing, and handling data, it felt natural to elaborate on the basic functionality I wanted.
And the underlying reason why:
(being forced to join Medium by a lovely lady at my writing group) - I've made 36 cents there from two articles... lol (but they were on hive first, and forever!)
😂 It takes all sorts!
I've just done comparison of three comparable bloggers in terms of content. I left outliers like @slobberchops (high image count, high engagement) and @bozz (consistent high-quality extended posts with strong engagement) and turned to more mundane, although not common, bloggers. I'll post it later when the infographics have worked themselves out.
Are there any features or functions broken in the tool currently? If you can let me know, I'll put it on the list of things I'll try to get done tomorrow. I want the tool to be functional and clear.
I haven't found any yet. But I'll log on this post if any turn up.
Generated using data from Hive Report Card submitted to ChatGPT, bloggers selected by me.
1. Readability Distribution









3. Engagement by Readability
Probably nothing you didn't already know 😁
I think engagement depends on who the author is to some extent, but even in my own report, engagement varies depending on my content complexity and length.
I agree, which was why I was selective about who I chose, and aimed to get consistency across the three samples. Incredibly helpful, though, and I think for curators as well, especially now that you have pulled in responses.
Most important thing on hive:
Thank you again for your suggestions on the tool. I am sure once everyone has had a chance to sleep on this tool there will be some more suggestions or improvements to be made.