“The value of privacy is not as high as finding my person” — Privacy risks as abstractions

Online dating has emerged as a key platform for digital engagement among young people, serving as a common medium for building relationships. As multimedia platforms, dating apps encourage users to translate their notions of identity construction, self-expression, and communication into engagement and participation in the digital world. Dating apps are one of several technologies that are changing existing norms of relationship building, self-presentation, and ideals of romance. Dating apps foster a unique form of engagement because to facilitate a date users must reveal sensitive details about their demographics, location, values, and lifestyle that they might not otherwise display on social media. On dating apps privacy concerns are unusually self-conscious. This unique digital environment constitutes a strategic research site where research can explore how privacy concerns influence the process of personal information (PI) disclosure. Findings reveal that users perceive other users as threats to their privacy, which makes them carefully consider what they reveal. In contrast, risks associated with app providers, such as selling data to advertisers, are viewed as abstract, and not behavior-altering. This discrepancy in risk is attributed to inadequate data literacy and agency over personal data. This paper concludes with suggestions for future research and policy that would improve the quality of youth engagement.

Authors

Publication Details

Journal
First Monday
Published
2024-12-20
DOI
https://doi.org/10.5210/fm.v29i12.13870
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

“The value of privacy is not as high as finding my person” — Privacy risks as abstractions

Grant Blank, Leon A. Petrosyan
First Monday
Privacy, Security, and Data Protection
article

“The value of privacy is not as high as finding my person” — Privacy risks as abstractions

Grant Blank, Leon A. Petrosyan
article en

Abstract

Online dating has emerged as a key platform for digital engagement among young people, serving as a common medium for building relationships. As multimedia platforms, dating apps encourage users to translate their notions of identity construction, self-expression, and communication into engagement and participation in the digital world. Dating apps are one of several technologies that are changing existing norms of relationship building, self-presentation, and ideals of romance. Dating apps foster a unique form of engagement because to facilitate a date users must reveal sensitive details about their demographics, location, values, and lifestyle that they might not otherwise display on social media. On dating apps privacy concerns are unusually self-conscious. This unique digital environment constitutes a strategic research site where research can explore how privacy concerns influence the process of personal information (PI) disclosure. Findings reveal that users perceive other users as threats to their privacy, which makes them carefully consider what they reveal. In contrast, risks associated with app providers, such as selling data to advertisers, are viewed as abstract, and not behavior-altering. This discrepancy in risk is attributed to inadequate data literacy and agency over personal data. This paper concludes with suggestions for future research and policy that would improve the quality of youth engagement.

First Monday
Quality Education
Openalex Percentile: Top 61%
Privacy, Security, and Data Protection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.