Continuing the discussion from Reactions on Meta:
I was curious about how reactions are used on a site I work with part-time. It’s a forum about college admissions, so there are posts about students being accepted/rejected from their dream school and that sort of thing. We use as our “like” emoji, so that’s why it ranks so high compared to
, which is the default “like”. Here’s what I found:
reaction | posts | count |
---|---|---|
![]() |
260494 | 720859 |
![]() |
16116 | 25738 |
![]() |
13315 | 23523 |
![]() |
7538 | 22674 |
![]() |
7200 | 15720 |
![]() |
6341 | 26875 |
![]() |
3854 | 4404 |
![]() |
2795 | 4911 |
![]() |
2286 | 2881 |
![]() |
1758 | 2623 |
![]() |
1708 | 2360 |
![]() |
1613 | 3396 |
![]() |
336 | 352 |
![]() |
30 | 43 |
I created the initial list of reactions by looking at which are the most commonly-used emojis in posts. We adjusted the list based on member feedback. I’m a fan of but it was clear very early on that the community wasn’t. So I swapped it for something else.
If you want to see how your site compares, the query I used is:
select ':'||reaction_value||':' reaction,
count(*) posts,
coalesce(sum(reaction_users_count), sum(like_count)) count
from discourse_reactions_reactions drr
join posts p on post_id = p.id
group by reaction_value
order by count(*) desc
Fun fact: we struggled to figure out why the emoji was so commonly used in posts. Eventually I tracked down the culprit:
.