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Table 6 Linguistic bias

From: Women through the glass ceiling: gender asymmetries in Wikipedia

 

Abstract positive

Abstract negative

(Intercept)

\( 0.63\ (0.05)^{***} \)

\( 0.25\ (0.05)^{***} \)

G[female]

\( -0.02\ (0.00)^{***} \)

\( 0.01\ (0.00)^{**} \)

cArchitect

0.07 (0.05)

0.06 (0.05)

cArtist

0.01 (0.04)

0.07 (0.05)

cAstronaut

−0.04 (0.06)

0.00 (0.06)

cAthlete

0.03 (0.04)

0.05 (0.05)

cBeautyQueen

−0.02 (0.05)

−0.06 (0.05)

cBusinessPerson

0.00 (0.09)

−0.02 (0.09)

cChef

0.03 (0.06)

0.01 (0.06)

cCleric

\( -0.10\ (0.04)^{*} \)

0.07 (0.05)

cCoach

−0.04 (0.04)

\( 0.15\ (0.05)^{**} \)

cCriminal

\( -0.09\ (0.04)^{*} \)

0.09 (0.05)

cEconomist

−0.01 (0.05)

\( 0.15\ (0.05)^{**} \)

cEngineer

0.01 (0.05)

0.08 (0.05)

cHistorian

−0.00 (0.07)

0.10 (0.07)

cHorseTrainer

−0.06 (0.05)

0.03 (0.06)

cJournalist

−0.03 (0.06)

\( 0.15\ (0.06)^{*} \)

cJudge

\( -0.17\ (0.04)^{***} \)

0.02 (0.05)

cMilitaryPerson

−0.05 (0.04)

−0.02 (0.05)

cModel

−0.03 (0.05)

0.02 (0.06)

cMonarch

−0.07 (0.05)

0.01 (0.06)

cNoble

−0.06 (0.05)

0.03 (0.05)

cOfficeHolder

−0.06 (0.04)

0.04 (0.05)

cPerson

−0.02 (0.04)

0.07 (0.05)

cPhilosopher

0.05 (0.05)

\( 0.11\ (0.05)^{*} \)

cPlayboyPlaymate

−0.06 (0.10)

−0.03 (0.10)

cPolitician

−0.06 (0.04)

0.05 (0.05)

cPresenter

−0.05 (0.06)

0.06 (0.06)

cReligious

0.04 (0.06)

0.11 (0.06)

cRoyalty

−0.07 (0.04)

0.04 (0.05)

cScientist

0.05 (0.04)

\( 0.10\ (0.05)^{*} \)

cSportsManager

0.01 (0.04)

0.06 (0.05)

cent

\( -0.02\ (0.00)^{***} \)

\( -0.01\ (0.00)^{***} \)

AIC

−20,917.94

−21,900.42

Num. obs.

50,965

48,942

  1. Regression results for the ratio of abstract words among positive and negative words as a function of gender, profession, and birth century. Women’s biographies tend to contain more abstract terms for negativity and less abstract terms for positivity. : p<0.001, : p<0.01, : p<0.05.