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The algorithm for what you see is the same for all users.
An items ranking is a function of when it was posted in combination with the likes and dislikes the community has given and item.
Afronary reflects the pulse of it's users.
If you're interested we do some math that looks like either one of these to position an item. 1) (likes - dislikes) - (TIMESTAMPDIFF(MINUTE, s.date_added, NOW()) /60) + number of comments from distinct users
or
2) ROUND(LOG10(GREATEST(ABS(s.likes - s.dislikes), 1)) + (UNIX_TIMESTAMP(s.date_added) / 45000) + number of comments from distinct users These are applied equally without regard to user data or any editorial input from Afronary staff.
Afronary aims to reflect the pulse of the community.
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