CoChat
Sign Up
Cited by 193Impact of Technology on AdolescentsMedia and Digital CommunicationPrivacy, Security, and Data Protection

The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.

Self-Presentation in Social Media: Review and Research Opportunities

Open access
Erin E., Hollenbaugh, Kent State University, USA·2021·Review of Communication Research
DOI 10.12840/issn.2255-4165.027
Open this paper in CoChat — free accountOpen PDF

Abstract

This paper reviews existing research on self-presentation in social media in order to inform future research. Social media offer seemingly limitless opportunities for strategic self-presentation. Informed by existing self-presentation theories, a review of research on self-presentation in social media revealed three significant context and audience variables that were conceptualized in a model. First, three affordances of social media – anonymity, persistence, and visibility – were discussed, as research has revealed the moderating effects of these affordances between self-presentation goal and the self-presentational content shared in social media. For example, one might expect that social media users are more likely to present their actual selves under conditions of less anonymity, more persistence, and more visibility. On the other hand, the freedom associated with more anonymous, less persistent, and less visibility social media may lead to idealized self-presentation. The second finding revealed the impact of other-generated content in the form of likes, comments, tags, and shares on social media users’ self-presentation content, mediated by how they choose to manage such content.The third theme concerned the moderating effect of context collapse on the relationship between goals and self-presentation content. The composition of an impression manager’s audience from one platform to the next varies across social media platforms, impacting and often complicating the attainment of self-presentation goals in the midst of merging networks of people. Social media users have adopted varying ways to navigate the complexities of context collapse in their pursuit of self-presentation. Although we have learned much from this body of literature, a more comprehensive theory of self-presentation in the hypermedia age is needed to further advance this area of research.

Overview

Integrity signals

Registry

Crossref · 10.12840/issn.2255-4165.027

Cites

94 of 94 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Citations

Cites

Flagged first, then by citations

Cited by

Sorted by citations

See all 193

Related

See all

Metadata

Authors
Erin E., H., & Kent State University, U.
Venue
Review of Communication Research
Publisher
UK Zhende Publishing Limited Company
Published
2021
Volume
9
Pages
80-98
ISSN
2255-4165 (ISSN-L)
DOI
10.12840/issn.2255-4165.027
OpenAlex
W3138399093
Cited by
193
References
94
Citations by year
2026: 40 · 2025: 55 · 2024: 47 · 2023: 37 · 2022: 13 · 2021: 1
FWCI
33.95
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
Review of Communication Research (publishedVersion, cc-by-nc)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Communication › Media and Digital Communication
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
Keywords
self-presentation, social media, impression management, anonymity, persistence, visibility, context collapse, audience, audience management, social media affordances, hypermedia

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