Data file explanation:

gend, edu, and pol (Studies 1a, 1c, and 1d respectively) all have the
same structure:

author_id refers to the twitter author

worker_id refers to the participant (rater)

correct is a binary variable indicating whether the participant
guessed the trait of the author correctly

gender indicates the gender of the rater

age refers to the age of the rater

AOT refers to the average scores of the rater on the AOT scale

(We did not include gender and age in our analyses for this paper, but
they may be of interest to other researchers.)

age (Study 1b) is slightly different, because age was not analyzed as
a categorical variable.

author_id, worker_id, age, gender, and AOT are all the same as the
other three files.

realAge is the author's age in years

predictedAge is the rater's guess of the author's age

absDiff is the absolute value of the difference between realAge and
predictedAge