Coding of non-text data

Research output: Chapter in Book/Report/Conference proceedingChapter

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Abstract

This chapter overviews the domain of “non-text” data that can be found on social media, such as videos and photographs. It then outlines research methods that can be applied to analysing and coding these non-text documents and their associated texts. These methods include content analysis, document analysis, compositional interpretation, musical analysis, cultural studies, visual sociology, visual anthropology, semiotic analysis, iconography/iconology, discourse analysis, visual social semiotics, and multimodal research. The chapter concludes with a call for future development of methods to continue advancing research in this emerging and essential area of social science.
Original languageEnglish
Title of host publicationThe Sage Handbook of Social Media Research Methods
EditorsLuke Sloan, Anabel Quan-Haase
Place of PublicationLondon
Publication statusPublished - 31 Jan 2017

Keywords

  • non-text data
  • social media
  • research methods

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  • Research Output

    Analysing found non-text social media data: options and challenges

    Pennington, D., 7 Mar 2016, (Accepted/In press) p. 1-3. 3 p.

    Research output: Contribution to conferenceAbstract

    Open Access
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  • Cite this

    Pennington, D. (2017). Coding of non-text data. In L. Sloan, & A. Quan-Haase (Eds.), The Sage Handbook of Social Media Research Methods