Using social media images as data in social science research

Yan Chen, Kate Sherren, Michael Smit, Kyung Young Lee

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55 Citas (Scopus)

Resumen

We conducted a scoping review to identify and describe trends in the use of social media images as data sources to inform social science research in published articles from 2015 to 2019. The identified trends include the following: (1) there is increasing interest in social media images as research data, especially in disciplines like sociology, cultural studies, communication and environmental studies; (2) the photo sample size is often smaller than that is typically used in text-based social media analysis and usually is collected manually; (3) thematic coding, object recognition and narrative analysis are the most popular analysis methods that are often conducted manually; (4) computer vision and machine-learning technologies have been increasingly but still infrequently used and are not fit for all purposes; and (5) relatively few papers mention ethics and privacy issues, or apply strategies to address ethical issues. We identify noteworthy research gaps, and opportunities to address limitations and challenges.

Idioma originalEnglish
PublicaciónNew Media and Society
DOI
EstadoAccepted/In press - 2021

Nota bibliográfica

Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Funding for Y.C. was provided by the Social Sciences and Humanities Research Council of Canada through Insight Grant 435-2018-1018, 2018–2022 (M.S. and K.S. as investigators), and an NS Research and Innovation Graduate Scholarship (2018–2022).

Publisher Copyright:
© The Author(s) 2021.

ASJC Scopus Subject Areas

  • Communication
  • Sociology and Political Science

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