Use este identificador para citar ou linkar para este item: http://hdl.handle.net/1843/49047
Tipo: Artigo de Periódico
Título: The right to be forgotten in the media: a data-driven study
Título(s) alternativo(s): O direito ao esquecimento na mídia: um estudo baseado em dados
Autor(es): Minhui Xue
Gabriel Magno de Oliveira Silva
Evandro Landulfo Teixeira Paradela Cunha
Virgilio Augusto Fernandes Almeida
Keith W. Ross
Resumo: Due to the recent “Right to be Forgotten” (RTBF) ruling, for queries about an individual, Google and other search engines now delist links to web pages that contain “inadequate, irrelevant or no longer relevant, or excessive” information about that individual. In this paper we take a datadriven approach to study the RTBF in the traditional media outlets, its consequences, and its susceptibility to inference attacks. First, we do a content analysis on 283 known delisted UK media pages, using both manual investigation and Latent Dirichlet Allocation (LDA). We find that the strongest topic themes are violent crime, road accidents, drugs, murder, prostitution, financial misconduct, and sexual assault. Informed by this content analysis, we then show how a third party can discover delisted URLs along with the requesters’ names, thereby putting the efficacy of the RTBF for delisted media links in question. As a proof of concept, we perform an experiment that discovers two previously-unknown delisted URLs and their corresponding requesters. We also determine 80 requesters for the 283 known delisted media pages, and examine whether they suffer from the “Streisand effect,” a phenomenon whereby an attempt to hide a piece of information has the unintended consequence of publicizing the information more widely. To measure the presence (or lack of presence) of a Streisand effect, we develop novel metrics and methodology based on Google Trends and Twitter data. Finally, we carry out a demographic analysis of the 80 known requesters. We hope the results and observations in this paper can inform lawmakers as they refine RTBF laws in the future.
Assunto: Direito a privacidade
Idioma: eng
País: Brasil
Editor: Universidade Federal de Minas Gerais
Sigla da Instituição: UFMG
Departamento: FALE - FACULDADE DE LETRAS
ICX - DEPARTAMENTO DE CIÊNCIA DA COMPUTAÇÃO
Tipo de Acesso: Acesso Aberto
Identificador DOI: https://doi.org/10.1515/popets-2016-0046
URI: http://hdl.handle.net/1843/49047
Data do documento: 2016
metadata.dc.relation.ispartof: Proceedings on Privacy Enhancing Technologies
Aparece nas coleções:Artigo de Periódico

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