Using Knowledgeable Agents of the Digital and Data Feminism to Uncover Social Identities in the #blackgirlmagic Twitter Community

Autor/in	Arastoopour Irgens, Golnaz
Titel	Using Knowledgeable Agents of the Digital and Data Feminism to Uncover Social Identities in the #blackgirlmagic Twitter Community
Quelle	In: Learning, Media and Technology, 47 (2022) 1, S.79-94 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Arastoopour Irgens, Golnaz)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1743-9884
DOI	10.1080/17439884.2021.2018608
Schlagwörter	Social Media; Feminism; African Americans; Females; Social Influences; Identification (Psychology); Aesthetics; Success; Social Justice; Language Usage; Telecommunications; Racial Factors; Cultural Influences; Human Body; Achievement; Advocacy; Racial Bias; Gender Bias + Suchen Sie Ihr Suchwort? Soziale Medien; Feminismus; Afroamerikaner; Weibliches Geschlecht; Sozialer Einfluss; Ästhetik; Erfolg; Soziale Gerechtigkeit; Sprachgebrauch; Telekommunikationstechnik; Cultural influence; Kultureinfluss; Menschlicher Körper; Performance; Leistung; Sozialanwaltschaft; Racial discrimination; Rassismus; Geschlechterstereotyp
Abstract	Online spaces have the capacity to be powerful informal learning and identity development spaces for marginalized communities. However, there is still much work to be done to uncover these complex social identities using ethical big data analyses. In this study, I draw on the theory of Knowledgeable Agents of the Digital, data feminism, and critical reflexivity practices to engage with a #blackgirlmagic Twitter dataset from 2016 to 2019. Using Epistemic Network Analysis, findings suggest that the #blackgirlmagic community self-defined their social identities around Black beauty, academic/professional accomplishments, and social justice. Because the women and girls of #blackgirlmagic were agentive in rewriting and sharing narratives of themselves, they were acting as knowledgeable agents of the digital. These findings may be useful for (1) uncovering other instances of knowledgeable agents from non-dominant populations and how they navigate a racialized and gendered society, and (2) providing suggestions for analyzing online big data through an ethical, intersectional feminist lens. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01