The DOI matches its Crossref record.
About ‘face'
Abstract
While Erving Goffman’s renown stems from his pioneering efforts legitimising the study of the interaction order and everyday life, an appreciation for his conceptual contributions to the study of social media remains less understood. This could be due to the way Goffman articulated his ideas through the use of metaphor, a general reticence to systematize ideas in consistent fashion, and perhaps most crucially because by the time of his passing the Internet was merely in its infancy. In this chapter, my aim is to outline Goffman’s contribution to the sociological understanding of social media by tracing several concepts that illuminate vital ideas about the interaction order with respect to social media. By adapting several Goffmanian concepts such as facework, framing and gender display, I seek to demonstrate how Goffman’s ideas pertaining to social interaction remain at the heart of many social media practices that are fundamentally ordered and maintained via the visual dimensions of social media. I argue that while Goffman never explicitly provides an analysis of social media his ideas provide fertile grounding for explorations of the digital, offering sociologists insights into the way social interactions remains at the centre of life online.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Additionally, in some cases the salutation was accompanied by personal introductions aimed at projecting an apparently legitimate identity of the perpetrator, appealing to the strategic configuration of a face or image in the terms of Goffman (Walsh, 2022;Calsamiglia & Tuson, 2012).”
From DISCOURSE ANALYSIS FOR THE DEVELOPMENT OF A CYBERGROOMING DETECTION MODEL ON ROBLOX (2026) · cites this paper as Walsh, 2022
Citations
Cites
Still being checked.
Cited by
Walsh, M. (2023) · Media Culture & Society · doi:10.1177/01634437231219142 · Cited by 22
Self-citation‘I am my business’: Solo entrepreneurs’ self-presentation on social media
Sawy, A., Bögenhold, D., O’Hagan-Luff, M., & van Stel, A. J. (2025) · Journal of Management & Organization · doi:10.1017/jmo.2025.10027 · Cited by 9
Mei, Y., Dervin, F., Liang, Y., & Layne, H. J. (2023) · British Journal of Educational Studies · doi:10.1080/00071005.2023.2231526 · Cited by 3
DISCOURSE ANALYSIS FOR THE DEVELOPMENT OF A CYBERGROOMING DETECTION MODEL ON ROBLOX
Castañón Marroquín, A. P., Rodríguez Colis, B. A., Bazán Durán, A., & Colmenares-Guillen, L. E. (2026) · CHAKIÑAN Revista de Ciencias Sociales y Humanidades · doi:10.37135/chk.002.29.01
Should we ghost Goffman? Self-presentation on Instagram among high school and university students
Filipović, B., Stojković, I. B., & Veselinović, M. (2025) · doi:10.5937/snds25013f
Metadata
- Authors
- Walsh, M. J.
- Corresponding author
- Walsh, Michael James
- ORCID
- Walsh, Michael James
- Venue
- The Routledge International Handbook of Goffman Studies
- Publisher
- Routledge
- Published
- 2022-05-11
- Pages
- 207-218
- OpenAlex
- W4280597861
- Cited by
- 4
- References
- 0
- Citations by year
- 2025: 2 · 2023: 2
- FWCI
- 7.43
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Routledge eBooks (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Contemporary Sociological Theory and Practice
- Social Sciences › Linguistics and Language › Digital Communication and Language
- Social Sciences › Communication › Media and Digital Communication
- Keywords
- Erving Goffman, facework, framing, gender display, social media, interaction order, everyday life, online social interaction, digital sociology
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 ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.