Examining nonsuicidal self-injury content creation on TikTok through qualitative content analysis |
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| Institution: | 1. Information Science & Knowledge Studies Dept., University of Tehran, Jalal Al-Ahmad and Chamran highways intersection Tehran, PO Box 1411713114, Iran;2. Risk Management Research Centre, IIEES, No. 21, Arghavan St., North Dibajee, Farmanieh, Tehran, PO Box: 19537-14453, Iran;3. Faculty of Management, University of Tehran, Jalal Al-Ahmad and Chamran highways intersection Tehran, PO Box 1411713114, Iran;1. Ted Rogers School of Management, Toronto Metropolitan University University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada;2. Department of Sociology, University of Toronto, 725 Spadina Ave, Toronto, ON M5S 2J4, Canada;3. Institute of Communication, Culture, Information and Technology, University of Toronto, 3359 Mississauga Road North, Mississauga, ON L5L 1C6, Canada;1. School of History and Archive, 2 Cuihu N Rd, Kunming, Yunnan University, 650091, China;2. Library, 2 Cuihu N Rd, Kunming, Yunnan University, 650091, China;1. UniSA STEM, University of South Australia, Mawson Lakes Campus, GPO BOX 2471, Adelaide, SA 5001, Australia;2. Mortenson Center for International Library Programs, University of Illinois Urbana-Champaign, 329 Main Library, 1408 West Gregory Drive, Urbana, IL 61801, United States |
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| Abstract: | Qualitative content analysis is a methodological approach for the subjective interpretation of data. Using empirical research to illustrate the methodological advantages and disadvantages of qualitative content analysis, this article examines the suitability of qualitative content analysis for the field of LIS and illustrates how the method can be used to inform LIS information practices research of marginalized populations through emerging information and communication technologies (ICTs). Specifically, this article examines the suitability of qualitative content analysis through its application in an ongoing study exploring how individuals who engage in nonsuicidal self-injury circumnavigate algorithmic exclusion in the emerging ICT TikTok. Qualitative content analysis can advance LIS research and practice by refuting deficit thinking and understanding information creation practices in context. Methodological shortcomings relate to the reduction of data and the inability to determine cause-and-effect relationships. The author recommends that researchers supplement qualitative content analysis with additional qualitative approaches to address these limitations. |
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