Hey Hive Post, how much are you adding to my knowledge?

I have a suggestion for Veews https://veews.io/. I trust that Veews will view this post through their power of content discovery.

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After all this time using Hive, I have noticed that Hive is a great source of information and entertainment. However, there are plenty of posts that are not worthy of spending time on.

The proportion is probably 1 good post to 8 "crappy"/irrelevant posts by my estimate, in terms of what I am exposed to.

I believe this problem of good posts hiding in the middle of irrelevant posts is not new. Thus the need for ways of uncovering good posts as proposed by Veews https://veews.io/. From my understanding, Veews uses an AI approach to understand each user's preferences and then expose relevant posts to them.

Not a bad idea, I would say, but recently I found myself asking a slightly different question when I come across a new Hive post.

This question might be of use to content discovery apps enthusiasts:
Hey Hive Post, how much are you adding to my knowledge?

Indeed, I skip the post when I can't find anything substantial that increases my knowledge. For example, there are a lot of general knowledge kind of post, albeit them having content on cryptocurrencies and blockchain. It is easy to tell that they are rehash of things from other sources. They might be useful for some people who needed the introductions, but not useful for those who are more knowledgeable on the topic.

Often, I find myself staying longer for posts that attempt to bring a new perspective to the table. I end up upvoting them and following the account.

So, Hey Hive Post, how much are you adding to my knowledge? is a simple and useful question to ask whenever I read a post. If it fails the test, I will give the post a miss.

Can this kind of reading preference be incorporated into Veews or other content discovery services to benefit the user?

I think it is possible.

Originally, the upvote button was intended for worthy posts to be better exposed should someone chooses to use it as an indicator of worthiness. However, we know that upvotes counts are typically inflated by curation trails, which can be unreliable for content discovery.

Since the upvote system is faulty, can Veews find a way to incorporate the response to the golden question (i.e., how much are you adding to my knowledge?) more directly?

It's a separate question from thumbs up or thumbs down, which can mean different things to different people. I am talking another way of providing feedback on whether the post content is adding to the reader's knowledge.

Once that data can be derived, there are plenty of stuff that can be done via text mining strategies to benchmark one's "current knowledge" to present the right content to the user.

Hopefully Veews or someone else can someday incorporate this.

Did this post add much to your knowledge?

P/S: This is not financial advice, and please do your own due diligence before investing.

If you read this far... and if you are a like-minded Hiver who is on the path to learning more about Hive and crypto investing, and if you like to be tagged when I write such posts, I welcome you to leave a comment below and let me know. We can form an alliance to support each other's growth.

You might be interested in this post, @deflacion, @jacoalberts, @young-kedar, @svanbo and @hankanon!

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