Untangles how data shapes and is shaped by queer worldsData, perilous and powerful, is both a worldmaking and a dismantling force. The collection of data about queer lives and bodies, the consequences of data analysis for queer subjects, and considerations of privacy and consent often present ethical dilemmas even as queer data expands our understanding of who and what counts. The need for queer analyses and perspectives has taken on a new sense of urgency in light of hostile antiqueer policies by major technology companies, the security theater of airports, the disproportionate rates of policing queer people and people of color, digital surveillance in border security, and the proliferation of digital health records.Gathering wide-ranging interdisciplinary conversations into one rich volume, Queer Data Studies challenges readers to rethink how the extraction, circulation, modeling, governance, and use of data affects queer subjects and, at the same time, to consider how the power of data might be harnessed in the service of queer ethics. Contributors take a capacious approach to data, drawing from a range of sources, including stories, sounds, medical data, police data, maps, and algorithmic modeling. This anthology engages intersectional, decolonial, feminist, queer, and trans research, advancing ongoing dialogues about data across the social sciences, humanities, and applied sciences.
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AcknowledgmentsIntroductionPatrick Keilty 1 Black Data Shaka McGlotten2 "To Fight for an End to Intrusions into the Sex Lives of Americans" | Gay and Lesbian Resistance to Sexual Surveillance and Data Gathering, 1945–1972 Nikita Shepard 3 Machine Learning and the Queer Technics of Opacity Queer Data Studies 4 Objectionable Nipples | Puritan Data Politics and Sexual Agency in Social Media Queer Data Studies 5 HIV Data as Queer Data | Biomedical Sexualities, Treatmentas-Prevention, and the New Sex Hierarchy for People Living with HIV Stephen Molldrem 6 Generating Vulnerability | Male Sex Workers, Third-Party Platforms, and Data Security Ryan Conrad7 Not Enough Meaningful Data? Lessons from Eastern Europe Lina Žigelytė8 Reciprocating Sexy Information | Reflections on Studying the Data of Gay Sex in BeirutMathew Gagné 9 Homobiles | Queering Data through Ephemerality and Intimacy Harris Kornstein 10 Situated Indications | Queer STS Experiments on Global Datafication Suisui Wang List of Contributors Index
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"This edited volume provides a wonderful approach to clarifying the lack of protection and integrity regarding the collection of data on LGBTQ+ people. The contributing authors seriously consider the ethics essential to any data collection as they highlight previous studies that have failed in ethical data collection, thereby diluting the data. . . Pushing readers to think beyond fixed forms, Keilty challenges researchers to think outside the box of traditional forms of research collection and consider the "other" in their approaches to analyzing queer data. This is a valuable manual for any individual desiring to research queer studies. It values the integrity of both the academic and queer communities and offers excellent strategies for collecting data on queer subjects."
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"Through a series of daring, original, important case studies, Queer Data Studies proposes a novel concept that fundamentally challenges each of the terms it brings together. How can data be queer if queerness resists categorization and data demands categories? Timely, well researched, socially engaged, and overall a fantastic contribution to the fields of media studies, queer theory, and algorithmic analysis."
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Untangles how data shapes and is shaped by queer worlds
Produktdetaljer
ISBN
9780295751962
Publisert
2024-01-02
Utgiver
Vendor
University of Washington Press
Vekt
629 gr
Høyde
229 mm
Bredde
152 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Redaktør
Biographical note
Patrick Keilty is associate professor in the Faculty of Information and the Cinema Studies Institute at the University of Toronto. He is coeditor of Feminist and Queer Information Studies Reader. Contributors: Ryan Conrad, Mathew Gagné, Gary Kafer, Harris Kornstein, Shaka McGlotten, Stephen Molldrem, Susanna Paasonen, Nikita Shepard, Jenny Sundén, Suisui Wang, and Lina Žigelytė