# Badge Discussion: Like Ratios + Spending Likes

**URL:** https://meta.discourse.org/t/badge-discussion-like-ratios-spending-likes/41036
**Category:** Feature
**Tags:** badges
**Created:** [3월 14, 2016, 7:51오후 UTC](https://meta.discourse.org/t/badge-discussion-like-ratios-spending-likes/41036 "2016-03-14T19:51:21Z")
**Posts on this page:** 1
**Showing post:** 15

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### Author: ![ccdw](https://sea3.discourse-cdn.com/meta/user_avatar/meta.discourse.org/ccdw/32/51564_2.png) [@ccdw](https://meta.discourse.org/u/ccdw)
#### Post date: [3월 15, 2016, 5:36오후 UTC](https://meta.discourse.org/t/badge-discussion-like-ratios-spending-likes/41036/15 "2016-03-15T17:36:34Z")

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Per my original comment, I believe the like mechanism is a [golden hammer](https://en.wikipedia.org/wiki/Law_of_the_instrument) at best:

> [@Is "liking" a post too intimidating?](https://meta.discourse.org/t/is-liking-a-post-too-intimidating/37695/9):
>
> I’ve been participating in online communities for over 30 years (Pre-Internet in other words) and I’m surprised ‘we’ haven’t yet managed to evolve beyond the like button. It’s a very blunt tool and in cynical (undignified?) hands can be used to express negative sentiment. Something I rather clumsily refer to as negative likes.

Any thoughts on measuring sentiment instead, or, as well as?

[Machine Learning APIs: Text Analytics for Sentiment, Key Phrase Extraction, Language Detection and Topic Detection](https://azure.microsoft.com/en-gb/documentation/articles/machine-learning-apps-text-analytics/)

[Demo](https://text-analytics-demo.azurewebsites.net/)

Rather than counts or ratios, perhaps award badges based on positive contribution?

(This comment scored 82%)

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