Towards privacy-aware exploration of archived personal emails

IF 1.6 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Zoe Bartliff, Yunhyong Kim, Frank Hopfgartner
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引用次数: 0

Abstract

This paper examines how privacy measures, such as anonymisation and aggregation processes for email collections, can affect the perceived usefulness of email visualisations for research, especially in the humanities and social sciences. The work is intended to inform archivists and data managers who are faced with the challenge of accessioning and reviewing increasingly sizeable and complex personal digital collections. The research in this paper provides a focused user study to investigate the usefulness of data visualisation as a mediator between privacy-aware management of data and maximisation of research value of data. The research is carried out with researchers and archivists with vested interest in using, making sense of, and/or archiving the data to derive meaningful results. Participants tend to perceive email visualisations as useful, with an average rating of 4.281 (out of 7) for all the visualisations in the study, with above average ratings for mountain graphs and word trees. The study shows that while participants voice a strong desire for information identifying individuals in email data, they perceive visualisations as almost equally useful for their research and/or work when aggregation is employed in addition to anonymisation.

Abstract Image

实现对存档个人电子邮件的隐私感知探索
本文探讨了隐私措施(如电子邮件收藏的匿名化和聚合过程)如何影响电子邮件可视化在研究中的实用性,尤其是在人文和社会科学领域。这项工作旨在为档案管理人员和数据管理人员提供信息,因为他们面临着加入和审查日益庞大和复杂的个人数字收藏的挑战。本文的研究提供了一项重点用户研究,以调查数据可视化作为数据隐私意识管理和数据研究价值最大化之间的中介是否有用。研究对象是研究人员和档案管理人员,他们在使用、理解和/或归档数据以获得有意义的结果方面拥有既得利益。参与者倾向于认为电子邮件可视化很有用,研究中所有可视化的平均评分为 4.281(满分 7 分),山形图和词树的评分高于平均水平。研究表明,虽然参与者对电子邮件数据中识别个人的信息表达了强烈的愿望,但他们认为,如果除了匿名化之外还采用聚合,可视化对他们的研究和/或工作几乎同样有用。
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来源期刊
CiteScore
4.30
自引率
6.70%
发文量
20
期刊介绍: The International Journal on Digital Libraries (IJDL) examines the theory and practice of acquisition definition organization management preservation and dissemination of digital information via global networking. It covers all aspects of digital libraries (DLs) from large-scale heterogeneous data and information management & access to linking and connectivity to security privacy and policies to its application use and evaluation.The scope of IJDL includes but is not limited to: The FAIR principle and the digital libraries infrastructure Findable: Information access and retrieval; semantic search; data and information exploration; information navigation; smart indexing and searching; resource discovery Accessible: visualization and digital collections; user interfaces; interfaces for handicapped users; HCI and UX in DLs; Security and privacy in DLs; multimodal access Interoperable: metadata (definition management curation integration); syntactic and semantic interoperability; linked data Reusable: reproducibility; Open Science; sustainability profitability repeatability of research results; confidentiality and privacy issues in DLs Digital Library Architectures including heterogeneous and dynamic data management; data and repositories Acquisition of digital information: authoring environments for digital objects; digitization of traditional content Digital Archiving and Preservation Digital Preservation and curation Digital archiving Web Archiving Archiving and preservation Strategies AI for Digital Libraries Machine Learning for DLs Data Mining in DLs NLP for DLs Applications of Digital Libraries Digital Humanities Open Data and their reuse Scholarly DLs (incl. bibliometrics altmetrics) Epigraphy and Paleography Digital Museums Future trends in Digital Libraries Definition of DLs in a ubiquitous digital library world Datafication of digital collections Interaction and user experience (UX) in DLs Information visualization Collection understanding Privacy and security Multimodal user interfaces Accessibility (or "Access for users with disabilities") UX studies
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