← Analytics overview

Sexuality

Confirmed sexuality terms, with conditional and player-defined representation kept separate.

01 · What it means

Category definition

Sexuality records how a character’s sexual orientation is described or evidenced. Fixed, confirmed identities are distinguished from identities that depend on player choices, remain implicit, or are not confirmed by the current evidence.

02 · How it is counted

Calculation

Characters with confirmed queer status contribute to their recorded sexuality tags. Player-defined, ambiguous, and not-confirmed sexual-orientation records are grouped under Conditional or player-defined representation instead of being counted as fixed identities. Missing or none values appear as Not recorded, while an explicit unknown remains visible as Unknown.

03 · Read carefully

Interpretation

The chart measures documentation within Press Q, not demographic prevalence. A possible heterosexual, bisexual, or asexual route is not treated as several simultaneous identities, and conditional cases remain available for research without inflating confirmed categories.

—Records analyzed

Percentage base: all documented character records.

—Categories represented

Includes Not recorded when values are missing.

—Category assignments

Can exceed the record total because categories overlap.

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Sources and framework

Research basis for sexuality

These sources inform the project’s definitions and safeguards. They do not make Press Q exhaustive, peer reviewed, or free from curatorial judgment.

LGBTQ Video Game Archive ↗

Shaw, Adrienne, et al. “About (Please Read First!).” LGBTQ Video Game Archive.

Supports the distinction between explicitly coded content, creator statements, queer readings, and incomplete research coverage.

GLAAD terminology guide ↗

GLAAD. “Glossary of Terms.” Where We Are on TV 2023–2024.

Provides working definitions for terms including bisexual, nonbinary, queer, and transgender while emphasizing respectful, specific language.

Data Feminism ↗

D’Ignazio, Catherine, and Lauren F. Klein. Data Feminism. MIT Press, 2020.

Grounds the project’s attention to power, context, plural perspectives, and the limitations of binaries and apparently neutral classifications.