Automatic Categorization of LGBT User Profiles on Twitter with Machine Learning

Privacy needs and stigma pose significant barriers to lesbian, gay, bisexual, and transgender (LGBT) people sharing information related to their identities in traditional settings and research methods such as surveys and interviews. Fortunately, social media facilitates people’s belonging to and exc...

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Bibliographische Detailangaben

Veröffentlicht in:	Electronics (Basel) 2021-08, Vol.10 (15), p.1822
Hauptverfasser:	Karami, Amir, Lundy, Morgan, Webb, Frank, Boyajieff, Hannah R., Zhu, Michael, Lee, Dorathea
Format:	Artikel
Sprache:	eng
Schlagworte:	Automation Classifiers Community Digital media Focus groups Gays & lesbians Gender identity Machine learning Privacy Social networks Social research Statistical analysis Stigma Transgender persons Websites
Online-Zugang:	Volltext
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