BFF: A tool for eliciting tie strength and user communities in social networking services

The use of social networking services (SNSs) such as Facebook has explosively grown in the last few years. Users see these SNSs as useful tools to find friends and interact with them. Moreover, SNSs allow their users to share photos, videos, and express their thoughts and feelings. However, users ar...

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Authors: López Fogués, Ricard, Such Aparicio, José Miguel|||0000-0002-6041-178X, Espinosa Minguet, Agustín Rafael|||0000-0001-8070-3344, García-Fornes, A|||0000-0003-4482-8793
Format: article
Publication Date:2014
Country:España
Institution:Universitat Politècnica de València (UPV)
Repository:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Language:English
OAI Identifier:oai:riunet.upv.es:10251/50752
Online Access:https://riunet.upv.es/handle/10251/50752
Access Level:Open access
Keyword:Information retrieval
Social network
Social media
Privacy
Tie strength
LENGUAJES Y SISTEMAS INFORMATICOS
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spelling BFF: A tool for eliciting tie strength and user communities in social networking servicesLópez Fogués, RicardSuch Aparicio, José Miguel|||0000-0002-6041-178XEspinosa Minguet, Agustín Rafael|||0000-0001-8070-3344García-Fornes, A|||0000-0003-4482-8793Information retrievalSocial networkSocial mediaPrivacyTie strengthLENGUAJES Y SISTEMAS INFORMATICOSThe use of social networking services (SNSs) such as Facebook has explosively grown in the last few years. Users see these SNSs as useful tools to find friends and interact with them. Moreover, SNSs allow their users to share photos, videos, and express their thoughts and feelings. However, users are usually concerned about their privacy when using SNSs. This is because the public image of a subject can be affected by photos or comments posted on a social network. In this way, recent studies demonstrate that users are demanding better mechanisms to protect their privacy. An appropriate approximation to solve this could be a privacy assistant software agent that automatically suggests a privacy policy for any item to be shared on a SNS. The first step for developing such an agent is to be able to elicit meaningful information that can lead to accurate privacy policy predictions. In particular, the information needed is user communities and the strength of users' relationships, which, as suggested by recent empirical evidence, are the most important factors that drive disclosure in SNSs. Given the number of friends that users can have and the number of communities they may be involved on, it is infeasible that users are able to provide this information without the whole eliciting process becoming confusing and time consuming. In this work, we present a tool called Best Friend Forever (BFF) that automatically classifies the friends of a user in communities and assigns a value to the strength of the relationship ties to each one. We also present an experimental evaluation involving 38 subjects that showed that BFF can significantly alleviate the burden of eliciting communities and relationship strength.This work has been partially supported by CONSOLIDER-INGENIO 2010 under grant CSD2007-00022, and TIN 2008-04446 and PROMETEO II/2013/019 projects. This article has been developed as a result of a mobility stay funded by the Erasmus Mundus Programme of the European Comission under the Transatlantic Partnership for Excellence in Engineering - TEE Project.Springer Verlag (Germany)Departamento de Sistemas Informáticos y ComputaciónEscuela Técnica Superior de Ingeniería InformáticaInstituto Universitario Valenciano de Investigación en Inteligencia ArtificialEuropean CommissionGeneralitat ValencianaErasmus+Repositorio Institucional de la Universitat Politècnica de València Riunet20142014-04-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/50752reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengMinisterio de Educación y Ciencia https://doi.org/10.13039/501100008743 CSD2007-00022 Agreement TechnologiesGeneralitat Valenciana https://doi.org/10.13039/501100003359 PROMETEOII%2F2013%2F019 HUMBACE: HUMAN-LIKE COMPUTATIONAL MODELS FOR AGENT-BASED COMPUTATIONAL ECONOMICSMinisterio de Ciencia e Innovación http://dx.doi.org/10.13039/501100004837 TIN2008-04446 UNA PLATAFORMA PARA SISTEMAS MULTIAGENTE ABIERTOSopen accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/507522026-06-13T07:49:27Z
dc.title.none.fl_str_mv BFF: A tool for eliciting tie strength and user communities in social networking services
title BFF: A tool for eliciting tie strength and user communities in social networking services
spellingShingle BFF: A tool for eliciting tie strength and user communities in social networking services
López Fogués, Ricard
Information retrieval
Social network
Social media
Privacy
Tie strength
LENGUAJES Y SISTEMAS INFORMATICOS
title_short BFF: A tool for eliciting tie strength and user communities in social networking services
title_full BFF: A tool for eliciting tie strength and user communities in social networking services
title_fullStr BFF: A tool for eliciting tie strength and user communities in social networking services
title_full_unstemmed BFF: A tool for eliciting tie strength and user communities in social networking services
title_sort BFF: A tool for eliciting tie strength and user communities in social networking services
dc.creator.none.fl_str_mv López Fogués, Ricard
Such Aparicio, José Miguel|||0000-0002-6041-178X
Espinosa Minguet, Agustín Rafael|||0000-0001-8070-3344
García-Fornes, A|||0000-0003-4482-8793
author López Fogués, Ricard
author_facet López Fogués, Ricard
Such Aparicio, José Miguel|||0000-0002-6041-178X
Espinosa Minguet, Agustín Rafael|||0000-0001-8070-3344
García-Fornes, A|||0000-0003-4482-8793
author_role author
author2 Such Aparicio, José Miguel|||0000-0002-6041-178X
Espinosa Minguet, Agustín Rafael|||0000-0001-8070-3344
García-Fornes, A|||0000-0003-4482-8793
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Sistemas Informáticos y Computación
Escuela Técnica Superior de Ingeniería Informática
Instituto Universitario Valenciano de Investigación en Inteligencia Artificial
European Commission
Generalitat Valenciana
Erasmus+
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Information retrieval
Social network
Social media
Privacy
Tie strength
LENGUAJES Y SISTEMAS INFORMATICOS
topic Information retrieval
Social network
Social media
Privacy
Tie strength
LENGUAJES Y SISTEMAS INFORMATICOS
description The use of social networking services (SNSs) such as Facebook has explosively grown in the last few years. Users see these SNSs as useful tools to find friends and interact with them. Moreover, SNSs allow their users to share photos, videos, and express their thoughts and feelings. However, users are usually concerned about their privacy when using SNSs. This is because the public image of a subject can be affected by photos or comments posted on a social network. In this way, recent studies demonstrate that users are demanding better mechanisms to protect their privacy. An appropriate approximation to solve this could be a privacy assistant software agent that automatically suggests a privacy policy for any item to be shared on a SNS. The first step for developing such an agent is to be able to elicit meaningful information that can lead to accurate privacy policy predictions. In particular, the information needed is user communities and the strength of users' relationships, which, as suggested by recent empirical evidence, are the most important factors that drive disclosure in SNSs. Given the number of friends that users can have and the number of communities they may be involved on, it is infeasible that users are able to provide this information without the whole eliciting process becoming confusing and time consuming. In this work, we present a tool called Best Friend Forever (BFF) that automatically classifies the friends of a user in communities and assigns a value to the strength of the relationship ties to each one. We also present an experimental evaluation involving 38 subjects that showed that BFF can significantly alleviate the burden of eliciting communities and relationship strength.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-04-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/50752
url https://riunet.upv.es/handle/10251/50752
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Educación y Ciencia https://doi.org/10.13039/501100008743 CSD2007-00022 Agreement Technologies
Generalitat Valenciana https://doi.org/10.13039/501100003359 PROMETEOII%2F2013%2F019 HUMBACE: HUMAN-LIKE COMPUTATIONAL MODELS FOR AGENT-BASED COMPUTATIONAL ECONOMICS
Ministerio de Ciencia e Innovación http://dx.doi.org/10.13039/501100004837 TIN2008-04446 UNA PLATAFORMA PARA SISTEMAS MULTIAGENTE ABIERTOS
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer Verlag (Germany)
publisher.none.fl_str_mv Springer Verlag (Germany)
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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