Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Travis Noakes

Biographic Data

ID6542446
NAMETravis Noakes
GIVEN NAMESTravis
FAMILY NAMENoakes
SIGNATURENOAKES T
AFFILIATIONSCape Peninsula University of Technology, Cape Town, South Africa
ORCID0000-0001-9566-8983
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Noteworthy Disparities With Four Caqdas Tools

    Open Access•Travis Noakes, Patricia Harpur et al.•ARTICLE•Social Science Computer Review•2023•Cited by: 1•References: 2

    Qualitative data analysis software (QDAS) packages that support live data extraction are a relatively recent innovation. Little has been written concerning the research implications of differences in such QDAS packages’ functionalities, and how such disparities might contribute to contrasting analytical opportunities. Consequently, early-stage researchers may experience difficulties in choosing an apt QDAS for Twitter analysis. In response to bot…

  • Who is watching the World Health Organisation? 'Post-truth' moments beyond infodemic research

    Open Access•Travis M Noakes, Travis Noakes et al.•ARTICLE•The Journal for Transdisciplinary…•2022•References: 38

    The World Health Organization (WHO) has established a public research agenda to address infodemics. In these, ‘an overflow of information of varying quality surges across digital and physical environments’. The WHO’s expert panel has raised concerns that this can result in negative health behaviours and erosion of trust in health authorities and public health responses. In sponsoring this agenda, the WHO positioned itself as a custodian that can …

  • Noteworthy Disparities With Four Caqdas Tools

    Open Access•Travis Noakes, Patricia Harpur et al.•ARTICLE•Social Science Computer Review•2023•Cited by: 1•References: 2

    Qualitative data analysis software (QDAS) packages that support live data extraction are a relatively recent innovation. Little has been written concerning the research implications of differences in such QDAS packages’ functionalities, and how such disparities might contribute to contrasting analytical opportunities. Consequently, early-stage researchers may experience difficulties in choosing an apt QDAS for Twitter analysis. In response to bot…

  • Who is watching the World Health Organisation? 'Post-truth' moments beyond infodemic research

    Open Access•Travis M Noakes, Travis Noakes et al.•ARTICLE•The Journal for Transdisciplinary…•2022•References: 38

    The World Health Organization (WHO) has established a public research agenda to address infodemics. In these, ‘an overflow of information of varying quality surges across digital and physical environments’. The WHO’s expert panel has raised concerns that this can result in negative health behaviours and erosion of trust in health authorities and public health responses. In sponsoring this agenda, the WHO positioned itself as a custodian that can …

  • Noteworthy Disparities With Four Caqdas Tools

    Open Access•Travis Noakes, Patricia Harpur et al.•ARTICLE•Social Science Computer Review•2023•Cited by: 1•References: 2

    Qualitative data analysis software (QDAS) packages that support live data extraction are a relatively recent innovation. Little has been written concerning the research implications of differences in such QDAS packages’ functionalities, and how such disparities might contribute to contrasting analytical opportunities. Consequently, early-stage researchers may experience difficulties in choosing an apt QDAS for Twitter analysis. In response to bot…

Sociology (2 works) · Coding (social sciences (1 work) · Computer Science (1 work) · Data science (1 work) · Focus Groups and Qualitative Methods (1 work) · Harm (1 work) · Law (1 work) · Medicine (1 work) · Misinformation (1 work) · Misinformation and Its Impacts (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae