Cited by 11Media and Digital CommunicationPrivacy, Security, and Data ProtectionImpact of Technology on Adolescents

Authenticity, Digital Media, and Person Identity Verification

Davis, Jenny L.·2019·Identities in Everyday Life

Abstract

Identity theory models authenticity as the outcome of person identity verification. In a parallel literature from digital media studies, the concept of authenticity has emerged as a central concern. Through interviews with American adults, I examine authenticity in relation to social media, using an identity theory frame. I show the specific tactics people use to present “true” versions of themselves, and how they censure those who fail to do so. Through participants’ narratives, I distill two principles of authenticity in a digital age: curation and triangulation. These refer to selective practices of sharing and cultivating a consistent image of self across digital platforms and face-to-face interactions. Those who fail to adhere to these principles may be subject to various forms of disconnection—“un-friending,” “un-following,” and/or general social exclusion. Disconnection minimizes interaction opportunities, making it difficult to verify person identity meanings.

Integrity signals

Registry

Crossref · 10.1093/oso/9780190873066.003.0006

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

This paper’s full text isn’t openly available, 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?

  • Authenticity on the Internet mainly encompasses three dimensions: the integrity and origin of information, the authenticity of interactions, and the verification of identities.

    “Authenticity on the Internet mainly encompasses three dimensions: the integrity and origin of information (Jacobs, 2024), the authenticity of interactions, and the verification of identities (Davis, 2019;Dietlin, Loomis, & Preffer, 2019).”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Davis, J. L.
Corresponding author
Davis, Jenny L.
Venue
Identities in Everyday Life
Published
2019-05-29
Pages
93-112
OpenAlex
W2959662323
Cited by
11
References
2
Citations by year
2026: 2 · 2025: 4 · 2022: 3 · 2021: 1 · 2020: 1
FWCI
3.36
Type
book chapter
Language
en
Open access
closed
Locations
  • Oxford University Press eBooks (publishedVersion)
  • ANU Open Research (Australian National University) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
Keywords
authenticity, identity theory, social media, digital media, self-presentation, curation, triangulation, social exclusion, disconnection, online self-presentation, face-to-face interaction

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