Engineering

Social psychology

Football

Face (sociological concept)

Computer security

Astrophysics

Set (abstract data type)

Computer science

Variation (astronomy)

Internet privacy

Fantasy

Physics

Psychology

Mathematics

Applied psychology

Political science

Sociology

Data science

Artificial intelligence

Programming language

Binary number

Aeronautics

Arithmetic

Social science

As non-binary genders become increasingly prevalent, researchers face decisions in how to collect, analyze and interpret research participants' genders. We present two case studies on surveys with thousands of respondents, of which hundreds reported gender as something other than simply women or men. First, Tumblr, a blogging platform, resulted in a rich set of gender identities with very few aggressive or resistive responses; the second case study, online Fantasy Football, yielded opposite proportions. By focusing on variation rather than dismissing non-binary responses as noise, we suggest that researchers can better capture gender in a way that 1) addresses gender variation without othering or erasing non-binary respondents; and 2) minimizes "trolls'" opportunity to use surveys as a mischief platform. The analyses of these two distinct case studies find significant gender differences in community dimensions of participation in both networked spaces as well as offering a model for inclusive mixed-methods HCI research.

"Genderfluid" or "Attack Helicopter"