Replication of scientific findings of the paper entitled "Facing Voters: Gender Expression, Gender Stereotypes, and Vote Choice"

• Figure 1: Histogram of GCS scores - official_analysis.R

• Figure 2: Feature mapping of images - class_activation_maps.jl

• Figure 3: Effect of GCS in high information elections - official_analysis.R

• Figure 4: Effect of GCS in low information elections - official_analysis.R

• Table 1: Cross-validated accuracy scores train_base_resnet_svm.jl

• Table 2: Regression results in high information elections - official_analysis.R

• Table 3: Regression results in low information elections - official_analysis.R

• Table 4: Cross-validated accuracy scores for alternative models - [transfer_analyses.jl(src/julia/transfer_analyses.jl)]
• Figure 5: Intercoder reliability / Human annotation/MTurk plot - mturk_analysis.jl
• Table 5: Alternative models with education included - official_analysis.R
• Figure 6: GCS by race and gender - official_analysis.R

CD into the main directory for this repo:

julia --project="" -e "include('get_data.jl');"

Creates directories: images/brazil_images_public (contains 193108 files) images (contains brazil_public_testing_image_names.csv and brazil_public_training_image_names.csv)

• Load the training/test data image list

We make our data available under the condition that researchers not use it to train demographic classifiers of any kind. This includes models that attempt to infer characteristics like age, race, or gender.We make our data available under the condition that researchers not use it to train demographic classifiers of any kind. This includes models that attempt to infer characteristics like age, race, or gender.