Human Gaps in the Data Economy: Knowledge, Attitudes, and Behaviors Toward Online Tracking and Data Ownership

This exploratory survey of 79 university-affiliated adults in Saudi Arabia investigates whether awareness of online tracking is associated with privacy-protective behavior, using the Knowledge–Attitude–Behavior (KAB) model as an organizing lens. We focus on browser fingerprinting, a complex and largely invisible tracking method for which the KAB sequence has not been examined. Descriptive and inferential analyses of the survey responses reveal three patterns. First, a fingerprinting-specific privacy paradox: 59.5% of participants expressed high concern about fingerprinting yet reported no anti-fingerprinting extension use, even though most of them did use other privacy measures such as incognito mode or cookie deletion. Second, 88.6% reported using at least one privacy measure that does not address fingerprinting (e.g., incognito mode, Do Not Track), pointing to a gap between the measures adopted and those that provide effective protection. Third, no statistically significant association between fingerprinting knowledge and concern was detected in this sample (r = 0.11, p = 0.36, 95% CI [−0.12, +0.32]), a result consistent with either no association or a small effect that the sample could not detect. These findings can inform privacy education by highlighting the need for targeted guidance that goes beyond general awareness. They also raise the question of whether formal data rights translate into practical control over advanced tracking—a proposition that larger, more representative studies should test directly.

Authors

Institutions

Publication Details

Journal
Electronics
Published
2026-08-18
DOI
https://doi.org/10.3390/electronics15163681
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

Human Gaps in the Data Economy: Knowledge, Attitudes, and Behaviors Toward Online Tracking and Data Ownership

Mohammed Almukaynizi, Lujain Abuhaimed
Electronics
Privacy, Security, and Data Protection
article

Human Gaps in the Data Economy: Knowledge, Attitudes, and Behaviors Toward Online Tracking and Data Ownership

Mohammed Almukaynizi, Lujain Abuhaimed
article en

Abstract

This exploratory survey of 79 university-affiliated adults in Saudi Arabia investigates whether awareness of online tracking is associated with privacy-protective behavior, using the Knowledge–Attitude–Behavior (KAB) model as an organizing lens. We focus on browser fingerprinting, a complex and largely invisible tracking method for which the KAB sequence has not been examined. Descriptive and inferential analyses of the survey responses reveal three patterns. First, a fingerprinting-specific privacy paradox: 59.5% of participants expressed high concern about fingerprinting yet reported no anti-fingerprinting extension use, even though most of them did use other privacy measures such as incognito mode or cookie deletion. Second, 88.6% reported using at least one privacy measure that does not address fingerprinting (e.g., incognito mode, Do Not Track), pointing to a gap between the measures adopted and those that provide effective protection. Third, no statistically significant association between fingerprinting knowledge and concern was detected in this sample (r = 0.11, p = 0.36, 95% CI [−0.12, +0.32]), a result consistent with either no association or a small effect that the sample could not detect. These findings can inform privacy education by highlighting the need for targeted guidance that goes beyond general awareness. They also raise the question of whether formal data rights translate into practical control over advanced tracking—a proposition that larger, more representative studies should test directly.

ElectronicsVol. 15(16)
King Saud University (SA)
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
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.