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I know it when I see it

The heteronormativity of Google's SafeSearch

Dados Bibliográficos

ID13086319
AutoresAlexander Monea (0000-0002-9081-0642, George Mason University, autor correspondente)
Ano2022
Volume10
Fascículo2
Páginas135-153
Data de publicação2022-07-18
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoPorn Studies (JOURNAL)
Identificadores do periódicoISSN: 2326-8743 • E-ISSN: 2326-8751
EditoraTaylor & Francis (PUBLISHER • GB)
DOI10.1080/23268743.2022.2086163
OpenAlexW4285731289
IdiomaEN
Citações recebidas1
Referências citadas39

This article analyzes Google SafeSearch's use of machine vision to automate censorship. I first provide a history of SafeSearch, followed by an overview of Google's machine vision system and the datasets it is built atop. Next I examine its political implications from four perspectives. First, I demonstrate how English-language semantic biases about sexuality are embedded in WordNet's ontology. Second, I outline how ImageNet embeds the biases of both image makers and labellers and examine the possibility for automatically outing ‘closeted’ LGBTQIA+ people. Third, I look at instances where explicitness is blurry, focusing on Google understanding the term ‘bisexuality’ as indicative of pornography. Lastly, I analyze the post-2012, always-on SafeSearch model that requires explicit keywords to trigger pornographic results, which reifies mainstream heteroporn's dominance online. In closing, I suggest some tactics of resistance

Censorship · Dominance (genetics · Epistemology · Heteronormativity · Human sexuality · Internet privacy · Mainstream · Ontology · Political science · Pornography · Sociology · WordNet · World Wide Web · Computer Science · Gender Studies · Gender, Feminism, and Media · Law · Philosophy · Sex work and related issues · Sexuality, Behavior, and Technology · Artificial Intelligence

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Obras citantes distintas1
Citações por ano0,5
Intervalo de citações2024 - 2024 (1)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 1
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