Queer Identities, Normative Databases: Challenges to Capturing Queerness On Wikidata

Honorable Mention

The collection, organization, and retrieval of data about queer individuals and their identities challenge the creators and curators of highly structured database systems. While prior research in archival studies and demographics has examined processes of collecting and storing queer identities, they do not examine the complexities of highly democratized platforms that lack top-down mandates that often structure archival schemas. To examine the representation of queer people on open-platform databases, we performed a trace ethnography and thematic analysis of Wikidata, an open collaboration, highly structured database. We specifically examined the creation of, changes to, discussions around, and impacts of properties that encode queer identities, such as \textit{sexual orientation} and \textit{sex or gender}. We found that changes often have unexpected impacts: contributors struggled to determine vocabulary for queer identities which were accurate across the diverse cultural contexts of the Wikidata community; that the recording of queer identities could cause a stigmatizing effect for LGBT individuals, with further concerns of spreading rumors or outing closeted people, and contributors proposing changes which would cause biased representations of queer people. Our analysis demonstrates inherent and unaddressed frictions when translating queer identities to the confines of a structured database. We conclude by discussing ways that the highly bottom-up, collaborative nature of platforms such as Wikidata, often seen as a major strength, can be vulnerable to individuals or small groups derailing and filibustering changes they disagreed with on politically charged topics such as queer identities.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/cscw/123367/2023

AdRecommended

Learn AI Coding at CodeNow

At a Glance

Paper Snapshot

fact_check
dataset
Source
CSCW
calendar_month
Year
2023
emoji_events
Award
Honorable Mention
group
Authors
2 authors
sell
Subtopics
—
work
Professions
—
article
Content Status
Abstract only
hub
Related Papers
0 related papers