The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Why’s Everyone on TikTok Now? The Algorithmized Self and the Future of Self-Making on Social Media
Open accessAbstract
The video-sharing social media platform TikTok has experienced a rapid rise in use since its release in 2016. While its popularity is undeniable, at the first glance, it seems to offer features already available on previously existing and well-established platforms such as Instagram, YouTube, and Facebook. To understand processes of self-making on TikTok, we undertake two methods of data collection: a walkthrough of the app and its surrounding environment, and 14 semistructured participant interviews. A qualitative analysis of this data finds three distinct themes emerge: (1) awareness of the algorithm, (2) content without context, and (3) self-creation across platforms. These results show that TikTok departs from existing platforms in the model of self-making it engenders, which we term “the algorithmized self”—a complication of the pre-existing “networked self” framework.
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In the citing paper
“Consequently, TikTok’s algorithmic prominence results in the creation of a personalized “algorithmic version” of each user, categorized according to predefined schemas [93–95].”
From Scrolling through adolescence: a systematic review of the impact of TikTok on adolescent mental health (2025) · cites this paper as [93]
In the citing paper
“Bhandari and Bimo [19] examine TikTok's recommendation algorithm and its effects on the 'algorithmized self', revealing recursive dynamics whereby individuals modify behavior to satisfy algorithmic preferences.”
From Encountering Generative AI: Narrative Self-Formation and Technologies of the Self Among Young Adults (2026) · cites this paper as [19]
In the citing paper
“Where existing research examines how algorithms shape identity as social positioning and role performance [10,19], this analysis foregrounds how AI systems participate in constituting selfhood itself: organizing subjective experience through narrative coherence, interpretive authority, and self-governance practices.”
From Encountering Generative AI: Narrative Self-Formation and Technologies of the Self Among Young Adults (2026) · cites this paper as [19]
Citations
Cites
Users of the world, unite! The challenges and opportunities of Social Media
Kaplan, A. M., & Haenlein, M. (2010) · Business Horizons · doi:10.1016/j.bushor.2009.09.003 · Cited by 17,875 · cited 2×
“These four sites occupy distinctly different niches in the current social media landscape, and can be seen as belonging to three different “categories” according to the definitions proposed by Kaplan and Haenlein (2010, p. 62).”
Background(1997) · Cited by 7,801
The Culture of Connectivity: A Critical History of Social Media
van Dijck, J. (2013) · doi:10.1093/acprof:oso/9780199970773.001.0001 · Cited by 2,688
Qualitative Interviewing and Grounded Theory Analysis
Charmaz, K. C., & Belgrave, L. L. (2012) · Sage eBooks · doi:10.4135/9781452218403.n25 · Cited by 2,101
The algorithmic imaginary: exploring the ordinary affects of Facebook algorithms
Bucher, T. (2016) · Information Communication & Society · doi:10.1080/1369118x.2016.1154086 · Cited by 1,420
The walkthrough method: An approach to the study of apps
Light, B., Burgess, J., & Duguay, S. (2016) · New Media & Society · doi:10.1177/1461444816675438 · Cited by 1,165
A New Algorithmic Identity: Soft Biopolitics and the Modulation of Control
Cheney-Lippold, J. (2011) · Theory, Culture & Society · doi:10.1177/0263276411424420 · Cited by 684 · cited 2×
“…the implications such technologies have over self-making practices, arguing that “the automated categorization practices and the advertisements and content targeted to those categorizations effectively situate and define how we create and manage our own identities” (Cheney-Lippold, 2011, p. 177).”
BackgroundWho am I? Narration and its contribution to self and identity
Bamberg, M. (2011) · Theory & Psychology · doi:10.1177/0959354309355852 · Cited by 591
Seeing Ourselves Through Technology
Rettberg, J. W. (2014) · Palgrave Macmillan UK eBooks · doi:10.1057/9781137476661 · Cited by 529
Digital photography: communication, identity, memory
van Dijck, J. (2008) · Visual Communication · doi:10.1177/1470357207084865 · Cited by 508
Research works printed but not linked: 6
- Anderson M., 2018, Pew Research Center, 31, 1673
- Frosh P., 2015, International Journal of Communication, 9, 1607
- Gregory K., 2015, Non-representational methodologies: Re-envisioning research, 146
- Hearn A., 2010, Ephemera: Theory & Politics in Organization, 10, 421
- Verstraete G., 2016, Image & Narrative, 17, 104
- Williams K., 2020, Sensor Tower
Cited by
Sorted by citations
Understanding the popularity and affordances of TikTok through user experiences
Schellewald, A. (2023) · Media Culture & Society · doi:10.1177/01634437221144562 · Cited by 144
The Algorithmic Crystal: Conceptualizing the Self through Algorithmic Personalization on TikTok
Lee, A. Y., Mieczkowski, H., Ellison, N. B., & Hancock, J. T. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3555601 · Cited by 132
Steen, E., Yurechko, K., & Klug, D. (2023) · Social Media + Society · doi:10.1177/20563051231194586 · Cited by 111
Microlearning through TikTok in Higher Education. An evaluation of uses and potentials
Caballero, D. C., Castillo, C. A., Ballesteros‐Yáñez, I., Jiménez, B. R., & Juárez, L. M. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11904-4 · Cited by 103
Cognitive imperialism in artificial intelligence: counteracting bias with indigenous epistemologies
Ofosu-Asare, Y. (2025) · AI & SOCIETY · doi:10.1007/s00146-024-02065-0 · Cited by 97
Metadata
- Authors
- Bhandari, A., & Bimo, S.
- Affiliations
- Cornell University (US)
- York University (CA)
- Corresponding author
- Bhandari, Aparajita
- Venue
- Social Media + Society
- Publisher
- SAGE Publications
- Published
- 2022-01
- Volume
- 8
- Issue
- 1
- ISSN
- 2056-3051 (ISSN-L)
- OpenAlex
- W4221035882
- Cited by
- 491
- References
- 20
- Citations by year
- 2026: 143 · 2025: 155 · 2024: 109 · 2023: 71 · 2022: 13
- FWCI
- 38.59
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Social Media + Society (publishedVersion, cc-by-nc)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Social Sciences › Communication › Media and Digital Communication
- Social Sciences › Gender Studies › Gender, Feminism, and Media
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Keywords
- TikTok, self-creation, social networking sites, algorithm awareness, networked self, online video platforms, self-presentation, platform comparison
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