Privacy concerns arising from internet service personalization filters

Personal service customization, or personalization, is one of the core tools that are being used by on-line providers of information services such as search engines, social media, news sites and product recommender systems to optimize the individual user experience in hopes of attracting and keeping...

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Main Authors: Koene, Ansgar, Perez, Elvira, Carter, Christopher J., Statache, Ramona, Adolphs, Svenja, O’Malley, Claire, Rodden, Tom, McAuley, Derek
Format: Article
Published: Association for Computing Machinery (ACM) 2015
Subjects:
Online Access:https://eprints.nottingham.ac.uk/49977/
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author Koene, Ansgar
Perez, Elvira
Carter, Christopher J.
Statache, Ramona
Adolphs, Svenja
O’Malley, Claire
Rodden, Tom
McAuley, Derek
author_facet Koene, Ansgar
Perez, Elvira
Carter, Christopher J.
Statache, Ramona
Adolphs, Svenja
O’Malley, Claire
Rodden, Tom
McAuley, Derek
author_sort Koene, Ansgar
building Nottingham Research Data Repository
collection Online Access
description Personal service customization, or personalization, is one of the core tools that are being used by on-line providers of information services such as search engines, social media, news sites and product recommender systems to optimize the individual user experience in hopes of attracting and keeping users. In this paper we will examine the user profile models that are used to achieve this information personalization. From a citizen centric perspective, our concerns focus on the degree of privacy intrusion that is implicitly required to determine the parameter settings of the information filter profile and the ethical implications of the personal behavior predicting properties of the user model itself.
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spelling nottingham-499772020-05-04T17:17:42Z https://eprints.nottingham.ac.uk/49977/ Privacy concerns arising from internet service personalization filters Koene, Ansgar Perez, Elvira Carter, Christopher J. Statache, Ramona Adolphs, Svenja O’Malley, Claire Rodden, Tom McAuley, Derek Personal service customization, or personalization, is one of the core tools that are being used by on-line providers of information services such as search engines, social media, news sites and product recommender systems to optimize the individual user experience in hopes of attracting and keeping users. In this paper we will examine the user profile models that are used to achieve this information personalization. From a citizen centric perspective, our concerns focus on the degree of privacy intrusion that is implicitly required to determine the parameter settings of the information filter profile and the ethical implications of the personal behavior predicting properties of the user model itself. Association for Computing Machinery (ACM) 2015-09-07 Article PeerReviewed Koene, Ansgar, Perez, Elvira, Carter, Christopher J., Statache, Ramona, Adolphs, Svenja, O’Malley, Claire, Rodden, Tom and McAuley, Derek (2015) Privacy concerns arising from internet service personalization filters. Computers and Society, 45 (3). pp. 167-171. ISSN 0095-2737 Personalization; Behavior profiles; Information filtering; position paper https://dl.acm.org/citation.cfm?id=2874263 doi:10.1145/2874239.2874263 doi:10.1145/2874239.2874263
spellingShingle Personalization; Behavior profiles; Information filtering; position paper
Koene, Ansgar
Perez, Elvira
Carter, Christopher J.
Statache, Ramona
Adolphs, Svenja
O’Malley, Claire
Rodden, Tom
McAuley, Derek
Privacy concerns arising from internet service personalization filters
title Privacy concerns arising from internet service personalization filters
title_full Privacy concerns arising from internet service personalization filters
title_fullStr Privacy concerns arising from internet service personalization filters
title_full_unstemmed Privacy concerns arising from internet service personalization filters
title_short Privacy concerns arising from internet service personalization filters
title_sort privacy concerns arising from internet service personalization filters
topic Personalization; Behavior profiles; Information filtering; position paper
url https://eprints.nottingham.ac.uk/49977/
https://eprints.nottingham.ac.uk/49977/
https://eprints.nottingham.ac.uk/49977/