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Tracey M Holley

Biographic Data

ID4170747
NAMETracey M Holley
GIVEN NAMESTracey M
FAMILY NAMEHolley
SIGNATUREHOLLEY T M
AFFILIATIONSTarleton State University
ORCID0000-0002-8406-3505
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS1
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2019
H-INDEX1
  • More than Tweed Jackets and Beards

    Open Access•Sarah Maben, Liza P Benedict et al.•ARTICLE•The Journal of Public Interest…•2019•Cited by: 1•References: 5

    The focus of this study was to identify themes that emerged on the publicly-posted #ILookLikeAProfessor hashtag Twitter campaign during August 2015. This qualitative content analysis explored tweets (n=1,855) from www.twitter.com/#ILookLikeAProfessor. Through qualitative open and inductive coding methods, four major themes were derived from the Twitter campaign among participants: 1) discussing diversity, 2) addressing appearance, 3) identifying …

  • More than Tweed Jackets and Beards

    Open Access•Sarah Maben, Liza P Benedict et al.•ARTICLE•The Journal of Public Interest…•2019•Cited by: 1•References: 5

    The focus of this study was to identify themes that emerged on the publicly-posted #ILookLikeAProfessor hashtag Twitter campaign during August 2015. This qualitative content analysis explored tweets (n=1,855) from www.twitter.com/#ILookLikeAProfessor. Through qualitative open and inductive coding methods, four major themes were derived from the Twitter campaign among participants: 1) discussing diversity, 2) addressing appearance, 3) identifying …

  • More than Tweed Jackets and Beards

    Open Access•Sarah Maben, Liza P Benedict et al.•ARTICLE•The Journal of Public Interest…•2019•Cited by: 1•References: 5

    The focus of this study was to identify themes that emerged on the publicly-posted #ILookLikeAProfessor hashtag Twitter campaign during August 2015. This qualitative content analysis explored tweets (n=1,855) from www.twitter.com/#ILookLikeAProfessor. Through qualitative open and inductive coding methods, four major themes were derived from the Twitter campaign among participants: 1) discussing diversity, 2) addressing appearance, 3) identifying …

Coding (social sciences (1 work) · Computer Science (1 work) · Content analysis (1 work) · Diversity (politics (1 work) · Gender, Feminism, and Media (1 work) · Media Studies and Communication (1 work) · Qualitative analysis (1 work) · Qualitative research (1 work) · Social Media and Politics (1 work) · Social science (1 work)

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