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Anonymity and Self-Disclosure on Weblogs

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Qian, Hua, Scott, Craig R.·2007·Journal of Computer-Mediated Communication

DOI 10.1111/j.1083-6101.2007.00380.x

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Abstract

Bloggers are typically cautious about engaging in self-disclosure because of concerns that what they post may have negative consequences.This article examines the relationship between anonymity (both visual and discursive) and self-disclosure on weblogs through an online survey.The results suggest that increased visual anonymity is not associated with greater self-disclosure, and the findings about the role of discursive anonymity are mixed.Bloggers whose target audience does not include people they know offline report a higher degree of anonymity than those whose audience does.Future studies need to explore the reasons why bloggers visually and discursively identify themselves in particular ways.

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Authors: Qian, H., & Scott, C. R.
Affiliations: The University of Texas System (US)
Rutgers, The State University of New Jersey (US)
ORCID: Scott, Craig R.
Venue: Journal of Computer-Mediated Communication
Publisher: Oxford University Press (OUP)
Published: 2007-07
Volume: 12
Issue: 4
Pages: 1428-1451
ISSN: 1083-6101 (ISSN-L)
DOI: 10.1111/j.1083-6101.2007.00380.x
OpenAlex: W2015071122
Cited by: 343
References: 61
Citations by year: 2026: 3 · 2025: 3 · 2024: 7 · 2023: 10 · 2022: 14 · 2021: 16 · 2020: 18 · 2019: 16 · 2018: 21 · 2017: 23 · 2016: 28 · 2015: 29 · 2014: 17 · 2013: 33 · 2012: 17
FWCI: 58.49
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: doi.wiley.com/10.1002/tdm_license_1.1 (tdm, 2984 d)
Locations: Journal of Computer-Mediated Communication (publishedVersion)
Topics: Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
Social Sciences › Communication › Media and Digital Communication
Social Sciences › Linguistics and Language › Digital Communication and Language
Keywords: anonymity, self-disclosure, blogs, bloggers, online identity, target audience, self-presentation

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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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Anonymity and Self-Disclosure on Weblogs

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

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Cites

Cited by

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