|
Measuring Representation in Culture| title | Measuring Representation in Culture |
|---|
| start_date | 2023/06/16 |
|---|
| schedule | 11h |
|---|
| online | no |
|---|
| location_info | salle C434 & zoom |
|---|
| summary | Much work in cultural analytics has examined questions of representation in narrative—whether through the deliberate process of watching movies or reading books and counting the people who appear on screen, or by developing algorithmic measuring devices to do so at scale. In this talk, I'll explore the use of NLP and computer vision to capture the diversity of representation in both contemporary literature and film, along with the challenges and opportunities that arise in this process. This includes not only the legal and policy challenges of working with copyrighted materials, but also in the opportunities that arise for aligning current methods in NLP with the diversity of representation we see in contemporary narrative; toward this end, I'll highlight models of referential gender that align characters in fiction with the pronouns used to describe them (he/she/they/xe/ze/etc.) rather than inferring an unknowable gender identity. |
|---|
| responsibles | Bawden |
|---|
Workflow history| from state (1) | to state | comment | date |
|---|
| submitted | published | | 2023/06/15 11:58 UTC |
| |
|