An authentic self: Big Data and passive digital footprints

Lynne Williams, Diane Pennington

Research output: Contribution to conferencePaper

Abstract

The ability to allow users to create online communities of interest and to share a variety of personal information, collectively referred to as social media, is gradually being built into an expanding range of applications. Some of these applications, such as computer operating systems, were not originally intended to collect information from the user. Thus, users may not be aware that their digital information is being collected. Devices such as smart televisions, smart cars, and even smart grids, are now collecting massive quantities of user data without the user’s knowledge.

Users of social media, and the internet in general, leave fragments of their activities and intentions behind them across an increasing range of technologies. These fragments collectively and passively create a hidden identity built up from metadata of which the user is mostly unaware.

Given that the user builds this hidden identity during the normal course of their day, without editing elements that the user may not wish to share with others, might the passive digital footprint more accurately reveal the individual's genuine or authentic self than the individual realises?

We propose that an aggregated, passively collected digital portrait of a user's unconscious but connected activities may reveal a more genuine view of that person's self than would be deduced from sources over which the user has conscious control. This more accurate and potentially revealing portrait of the individual requires a review of how privacy has been classically defined in both legal as well as ethical constructs.

Conference

ConferenceInternational Symposium on Human Aspects of Information Security & Assurance (HAISA 2018)
CountryUnited Kingdom
CityDundee
Period29/08/1831/08/18

Fingerprint

Computer operating systems
Metadata
Television
Railroad cars
Internet
social media
Big data
internet community
privacy
television
human being
ability

Keywords

  • passive digital footprint
  • data analytics
  • privacy
  • identity
  • Internet of Things
  • linkage attack
  • Big Data

Cite this

Williams, L., & Pennington, D. (2018). An authentic self: Big Data and passive digital footprints. Paper presented at International Symposium on Human Aspects of Information Security & Assurance (HAISA 2018), Dundee, United Kingdom.
Williams, Lynne ; Pennington, Diane. / An authentic self : Big Data and passive digital footprints. Paper presented at International Symposium on Human Aspects of Information Security & Assurance (HAISA 2018), Dundee, United Kingdom.8 p.
@conference{6adbb9c89d444f868b3a658fa0b215eb,
title = "An authentic self: Big Data and passive digital footprints",
abstract = "The ability to allow users to create online communities of interest and to share a variety of personal information, collectively referred to as social media, is gradually being built into an expanding range of applications. Some of these applications, such as computer operating systems, were not originally intended to collect information from the user. Thus, users may not be aware that their digital information is being collected. Devices such as smart televisions, smart cars, and even smart grids, are now collecting massive quantities of user data without the user’s knowledge.Users of social media, and the internet in general, leave fragments of their activities and intentions behind them across an increasing range of technologies. These fragments collectively and passively create a hidden identity built up from metadata of which the user is mostly unaware.Given that the user builds this hidden identity during the normal course of their day, without editing elements that the user may not wish to share with others, might the passive digital footprint more accurately reveal the individual's genuine or authentic self than the individual realises?We propose that an aggregated, passively collected digital portrait of a user's unconscious but connected activities may reveal a more genuine view of that person's self than would be deduced from sources over which the user has conscious control. This more accurate and potentially revealing portrait of the individual requires a review of how privacy has been classically defined in both legal as well as ethical constructs.",
keywords = "passive digital footprint, data analytics, privacy, identity, Internet of Things, linkage attack, Big Data",
author = "Lynne Williams and Diane Pennington",
year = "2018",
month = "8",
day = "29",
language = "English",
note = "International Symposium on Human Aspects of Information Security & Assurance (HAISA 2018) ; Conference date: 29-08-2018 Through 31-08-2018",

}

Williams, L & Pennington, D 2018, 'An authentic self: Big Data and passive digital footprints' Paper presented at International Symposium on Human Aspects of Information Security & Assurance (HAISA 2018), Dundee, United Kingdom, 29/08/18 - 31/08/18, .

An authentic self : Big Data and passive digital footprints. / Williams, Lynne; Pennington, Diane.

2018. Paper presented at International Symposium on Human Aspects of Information Security & Assurance (HAISA 2018), Dundee, United Kingdom.

Research output: Contribution to conferencePaper

TY - CONF

T1 - An authentic self

T2 - Big Data and passive digital footprints

AU - Williams, Lynne

AU - Pennington, Diane

PY - 2018/8/29

Y1 - 2018/8/29

N2 - The ability to allow users to create online communities of interest and to share a variety of personal information, collectively referred to as social media, is gradually being built into an expanding range of applications. Some of these applications, such as computer operating systems, were not originally intended to collect information from the user. Thus, users may not be aware that their digital information is being collected. Devices such as smart televisions, smart cars, and even smart grids, are now collecting massive quantities of user data without the user’s knowledge.Users of social media, and the internet in general, leave fragments of their activities and intentions behind them across an increasing range of technologies. These fragments collectively and passively create a hidden identity built up from metadata of which the user is mostly unaware.Given that the user builds this hidden identity during the normal course of their day, without editing elements that the user may not wish to share with others, might the passive digital footprint more accurately reveal the individual's genuine or authentic self than the individual realises?We propose that an aggregated, passively collected digital portrait of a user's unconscious but connected activities may reveal a more genuine view of that person's self than would be deduced from sources over which the user has conscious control. This more accurate and potentially revealing portrait of the individual requires a review of how privacy has been classically defined in both legal as well as ethical constructs.

AB - The ability to allow users to create online communities of interest and to share a variety of personal information, collectively referred to as social media, is gradually being built into an expanding range of applications. Some of these applications, such as computer operating systems, were not originally intended to collect information from the user. Thus, users may not be aware that their digital information is being collected. Devices such as smart televisions, smart cars, and even smart grids, are now collecting massive quantities of user data without the user’s knowledge.Users of social media, and the internet in general, leave fragments of their activities and intentions behind them across an increasing range of technologies. These fragments collectively and passively create a hidden identity built up from metadata of which the user is mostly unaware.Given that the user builds this hidden identity during the normal course of their day, without editing elements that the user may not wish to share with others, might the passive digital footprint more accurately reveal the individual's genuine or authentic self than the individual realises?We propose that an aggregated, passively collected digital portrait of a user's unconscious but connected activities may reveal a more genuine view of that person's self than would be deduced from sources over which the user has conscious control. This more accurate and potentially revealing portrait of the individual requires a review of how privacy has been classically defined in both legal as well as ethical constructs.

KW - passive digital footprint

KW - data analytics

KW - privacy

KW - identity

KW - Internet of Things

KW - linkage attack

KW - Big Data

M3 - Paper

ER -

Williams L, Pennington D. An authentic self: Big Data and passive digital footprints. 2018. Paper presented at International Symposium on Human Aspects of Information Security & Assurance (HAISA 2018), Dundee, United Kingdom.