Research Questions
The Questions Guiding Data Assembly and Data Analysis
The following questions guided the data assembly and creation process as well as the data analysis.
Broader Questions
- How do image and text generators digest and remix Lesbian Film Data, from titles to posters (making inferences about the contents of the black box)?
- What do these systems' proclivities mean for the representation of Lesbians in cultural artifacts?
- What aspects of the film are amplified, and what aspects are suppressed – in image and text outputs?
- How do these systems engage with copyrighted material?
More Concrete Research Questions
- How does ChatGPT5 compile a list of 50 Lesbian Films w/o additional instruction?
- How will the model adapt sparse prompts that ask for image outputs inspired by Lesbian film titles? What aspects will be expanded, what aspects reduced?
- How can we characterize the anticipated homogeneity that might creep into visual and textual renderings of Lesbian film-inspired outputs?
- What are the differences between Dall-E and GPT-5's (both models are available within ChatGPT's interface) renderings and prompt revisions? Meaning: as the models advance, does homogeneity decline, increase, or simply migrate to different aspects?
- What glitches and outliers are observable in the data, and what can the glitches tell us?