Uncovering longitudinal life narratives: scrolling back on Facebook
Open accessAbstract
This article explores the potential role of sustained social media use in longitudinal qualitative research. We introduce the research design and methodology of a research project exploring sustained use (five or more years) of the social network site Facebook among young people in their twenties. By focusing on this group, we seek to uncover how ‘growing up’ stories are told and archived online, and how disclosure practices (what people say and share on social media) change over time. We question how we can understand the ‘digital trace’ inscribed through the Facebook Timeline as a longitudinal narrative text. We argue that ‘scrolling back’ through Facebook with participants as ‘co-analysts’ of their own digital traces can add to the qualitative longitudinal research (QLR) tradition. QLR and the scroll back method attend to a similar set of concerns around change over time, the depth of inquiry, and uncovering rigorous, rich life narratives. We explore limitations (especially around intentionality) and ethical challenges, while also arguing for the inclusion of these often highly personal, deep, co-constructed digital texts in qualitative longitudinal research. We also consider how the scroll back method could apply to other digital media, as the sites and applications that people use diversifies and changes over time.
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Huang, A. (2025) · Convergence The International Journal of Research into New Media Technologies · doi:10.1177/13548565251372822 · Cited by 1 · see citing works
Pehlivanlı, E., & GEDİK, E. (2025) · Culture Health & Sexuality · doi:10.1080/13691058.2025.2573814 · Cited by 1 · see citing works
Brands, R. H. (2026) · Media International Australia · doi:10.1177/1329878x261436574 · Cited by 1 · see citing works
PERFORMING (IN)JUSTICE: THE CONTENTIOUS POLITICS OF DIGITALLY MEDIATED VISUALS
Lewis, K., Berents, H., Myles, D., Cabalquinto, E. C., Matamoros-Fernández, A., & Estrada-Grajales, C. (2019) · AoIR Selected Papers of Internet Research · doi:10.5210/spir.v2019i0.10972 · Cited by 1 · see citing works
Rowell, C., & Walters, H. (2022) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80117-057-420221004 · Cited by 1 · see citing works
‘Sharing for the memories’: Contemporary conceptualizations of memories by young women
Annabell, T. (2022) · Memory Studies · doi:10.1177/17506980221133729 · Cited by 1 · see citing works
Duguay, S. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780190076184.003.0002 · Cited by 1 · see citing works
- Authors
- Robards, B., & Lincoln, S.
- Affiliations
- Monash University (AU)
- Liverpool John Moores University (GB)
- Corresponding author
- Robards, Brady
- Venue
- Qualitative Research
- Publisher
- SAGE Publications
- Published
- 2017-04-17
- Volume
- 17
- Issue
- 6
- Pages
- 715-730
- ISSN
- 1468-7941 (ISSN-L)
- 1741-3109
- OpenAlex
- W2605885774
- Cited by
- 163
- References
- 33
- Citations by year
- 2026: 19 · 2025: 29 · 2024: 17 · 2023: 13 · 2022: 32 · 2021: 22 · 2020: 12 · 2019: 9 · 2018: 8 · 2017: 2
- FWCI
- 21.70
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Qualitative Research (publishedVersion)
- Liverpool John Moores University (acceptedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Focus Groups and Qualitative Methods
- Social Sciences › Sociology and Political Science › Data Analysis and Archiving
- Social Sciences › Sociology and Political Science › Qualitative Research Methods and Ethics
- Keywords
- Facebook, qualitative longitudinal research, digital traces, life stories, disclosure practices, youth, coming of age, co-analysis, research ethics, social media use
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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