Linguistic Features Recorded

Percentage by Features 50% Percentage of Features Gender Feature Type Male Female Gender 4% SF 48% SM 36% N 11% MMN 51% SF 12% SM 4% MF 18% N 15% MMN Politeness 15% Polite 8% Depr 77% Plain 4% Polite 95% Plain Type 53% SFP 20% 1p 25% 2p 54% SFP 16% 1p 30% 2p

*note: features of less than 4% were not labeled

The values in this graph were calculated by dividing the feature subcategory by the toal amount of features marked in that category. For example the percentage of strong male particles or pronouncs used by men was found by diving the amount of pronons and particles marked strong male in songs sung by men by the total amount of particles or pronouns marked for gender in songs sung by men We chose to use percentages rather than counts to account for differences in amounts of particles and pronouns used.

Gendered Language Over Time 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% Percentage of Features Year Male Artist Female Artist Male Feature Neutral Feature Female Feature 1980 1990 2000 2010 2017

Values were caculated the same way as for the bar graph but were further separated by year. Additionally, strong male and moderate male/neutral were combined into one male category and strong female and moderate female were combined into one female category.

Politeness Over Time 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% Percentage of Features Year Male Artist Female Artist Polite Plain Deprecatory 1980 1990 2000 2010 2017

Values were calculated the same way as for the other two graphs.