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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.