BACKGROUND
For every e621 submission users can see a value that unifies up- and downvotes by users, called "score" and the amount of users that put said submission under their favorites.
Previous studies suggest that the relation between favcount and score is dependent on how explicit the content of a submission is.
It is known that users choose submissions as their favorite if they want to see them again for whatever reason and they upvote them if they "like" the submission for whatever reason but not necessarily want to see it again in the future, or don't care if they will see it again.
OBJECTIVE
Find out if and how the relation between score and favcount of an image submission depends on how explicit the content of said image submission is.
DESIGN
We selected 100 furry related images that
are not animated,
are not funny,
are not sad,
only depict mild fetishes,
are generally not "emotional",
do not contain text,
depict at least one and at most two characters,
have a high score or high favcount. (At least one value above 50)
Those constraints in image selection are necessary to filter out factors that are known to greatly influence score and favcount but aren't well understood (yet). For example, mostly independent of their contents flash submissions show a vast increase in rating and favcount for unknown reasons.
We are aware that score is a flawed measure, since we do not know how many users downvoted a submission while favcount remains a purely positive value.
To solve this problem we developed the complex "objective perceived repulsion score compensation value" to increase our internal score calculation value.
30 randomly selected participants were shown those images in a random order and they had to rate all of them on their own "subjective eroticism scale" and "subjectively perceived repulsion scale" of 0 to 10. The values acquired by this method were unified to the "objective eroticism scale value" and the "objective perceived repulsion score compensation value":
Score (adjusted through the "objective perceived repulsion score compensation value") and favcount were written down per image and a "upvote per fav" value was calculated. This values range is above 0.1 and below 0.9 in most cases.
Then we measured how explicit an image is on a scale from 0 to 10 with the following method:
On this objective eroticism scale
0 means "fully clothed, not suggestive at all", for example:
http://e621.net/post/show/197807, this image received a 0.6 on the scale, it has a "upvote per fav" level of 0.693333
10 means hardcore fucking, for exmaple:
http://e621.net/post/show/88183, this image received a 9.6 on the scale, it has an extreme "upvote per fav" level of 0.075
RESULTS
The "upvote per fav" value is inversely proportional to the value on the subjective eroticism scale.
CONCLUSION
If an image depicts hardcore pornography, more users fav it, but don't upvote it.
If an image is completely safe, more users upvote it, but don't fav it.
Average values of the "upvote per fav" value dependent on the objective eroticism scale level were calculated with very high significance.
The full study including in depth analysis of the "objectively perceived repulsion scale", eroticism scale, image selection, calculation mechanics, math and statistical images will appear in the next Journal of Applied Behavioral Science
Updated