1. bookVolume 2021 (2021): Issue 3 (July 2021)
Journal Details
License
Format
Journal
First Published
16 Apr 2015
Publication timeframe
4 times per year
Languages
English
access type Open Access

Digital Inequality Through the Lens of Self-Disclosure

Published Online: 27 Apr 2021
Page range: 373 - 393
Received: 30 Nov 2020
Accepted: 16 Mar 2021
Journal Details
License
Format
Journal
First Published
16 Apr 2015
Publication timeframe
4 times per year
Languages
English
Abstract

Recent work has brought to light disparities in privacy-related concerns based on socioeconomic status, race and ethnicity. This paper examines relationships between U.S. based Twitter users’ socio-demographic characteristics and their privacy behaviors. Income, gender, age, race/ethnicity, education level and occupation are correlated with stated and observed privacy preferences of 110 active Twitter users. Contrary to our expectations, analyses suggest that neither socioeconomic status (SES) nor demographics is a significant predictor of the use of account security features. We do find that gender and education predict rate of self-disclosure, or voluntary sharing of personal information. We explore variability in the types of information disclosed amongst socio-demographic groups. Exploratory findings indicate that: 1) participants shared less personal information than they recall having shared in exit surveys; 2) there is no strong correlation between people’s stated attitudes and their observed behaviors.

Keywords

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