• perishthethought@piefed.social
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    1 month ago

    Did the authors just leave it up to us to figure out the X axis?

    Also, I notice “comics” skews different from “manga”. Interesting.

    • suff@piefed.social
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      1 month ago

      Male-Female Log Odds Ratio

      It means log(males/females). Base 10 I suppose (not relevant to the visual)

      • 14th_cylon@lemmy.zip
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        5 days ago

        I am really dying to know what author of the graphic thought is advantage of such scale instead of -100 to 100…

        • suff@piefed.social
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          3 days ago

          It’s probabilities. So they essentially talk about a range of decimal comma positions, from 0.01 to 100.0 or 1% to 10000%

          They could have used plain counts as well though. (Not sure about the visual gradient though, as I suppose these things are impacted by Zipfs law, etc.)

      • rainwall@piefed.social
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        1 month ago

        I think its actually gender color coded. The “male” side leans blue-ish, with the “female” side leaning towards pink.

        Using controversial forced gender roles colors as a axis is certainly a choice.

        • suff@piefed.social
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          1 month ago

          The whole study (behavior+gender correlation) is biased. I didn’t see the colors on the other screen anyway.

          For the case you had issues with understanding the log thing:

          • log(males/females) = -2 means 1:100
          • log(males/females) = -1 means 1:10
          • log(males/females) = 0 means 1:1
          • log(males/females) = 1 means 10:1
    • jacksilver@lemmy.world
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      1 month ago

      Manga is actually pretty gender neutral nowadays, but that’s probably because “manga” is really a supset. For every sci-fi/fantasy/superhero manga there is a romance/magical-girl/etc manga. So basically manga contains a subset of all the same genres we see in the diagram.

      Additionally by breaking up graphic novels, comics, and manga you’re probably splitting the “male” readership up more letting manga have a “female” bias.