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Queer data using gender, sex and sexuality data for action

Katalog WÜ-SW-AB-CO (1/1)

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Queer data using gender, sex and sexuality data for action

Autor/Hrsg.: Guyan, Kevin  
Ort: London ; New York ; Oxford ; New Delhi ; Sydney
Verlag: Bloomsbury Academic
Jahr: 2022
Umfang: x, 227 Seiten
ISBN: 9781350230736 , 9781350230729
Schlagwörter: Sexuelle Orientierung / Geschlechtsidentität / Data Mining / Datenanalyse
Schlagwörter: LGBT / Data Mining / Datenanalyse

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Autor/Hrsg.: Guyan, Kevin   Fragezeichen
Titel: Queer data
Untertitel: using gender, sex and sexuality data for action
Ort: London ; New York ; Oxford ; New Delhi ; Sydney
Verlag: Bloomsbury Academic
Jahr: 2022
Umfang: x, 227 Seiten
ISBN: 9781350230736
ISBN: 9781350230729
Reihe: Bloomsbury studies in digital cultures
Kurzbeschreibung: "Data has never mattered more. Our lives are increasingly shaped by it and by how it is defined, collected and used. This important book is the first to look at queer data (defined as data relating to sex, gender, trans identity/ history and sexual orientation), explaining in an engaging and accessible style why it’s important to understand, collect and analyse such data, and the benefits and challenges involved in doing so and how data may better be used for action. Queer Data discusses the risks of failing to engage with data collection agencies for queer communities, in an age where decisions are increasingly driven by algorithms and big data. But a willingness to be classified, counted and presented for the analysis of others also poses dangers. In three clear parts, this book first explains the history and theory of queer data and the different types available, then goes on to focus on data analysis and data application. Using case studies like the landmark 2021 Scottish census as a springboard to a global discussion, it will be of interest to readers from a variety of backgrounds, from academics and researchers in a range of areas, including queer studies, digital cultures, gender and diversity studies, through EDI professionals, to activists and LGBTIQ voluntary support organisations."
Schlagwörter: Sexuelle Orientierung ; Geschlechtsidentität ; Data Mining ; Datenanalyse
LGBT ; Data Mining ; Datenanalyse
Subject: Sexual minorities Research Sexual minorities Statistics Data mining Statistical methods Decision making Statistical methods
RVK-Notation:
Bestand Bayern: BV047700889