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These are not the Stereotypes You are Looking For: Bias and Fairness in Authorial Gender Attribution

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Figure

Figure 1: Kernel density estimation of the percent-age of male readers with respect to author gender.
Table 1: A selection of LIWC categories with results on the Riddle corpus. The indented categories aresubcategories forming a subset of the preceding category
Table 2: Gender classification scores (F1) on theRiddle corpus (above) and the Nominees corpus(below).
Table 3: A sample of 10 distinctive, mid-frequency features.

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