An Email Visualization System Based on Event Analysis

Lü, Qiang; X, Luo; Fang, Fang

doi:10.1007/978-981-15-1377-0_51

Cited by 3 publications

(7 citation statements)

References 14 publications

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“…Viégas, Golder and Donath 2006) but some only include the first three of these (e.g. Lu et al 2019). Others highlight the potential of visualisations to reveal personal information (e.g.…”

Section: Research Paper Categorisationmentioning

confidence: 99%

“…The next category is patterns of relationships (PoR) which addresses broader attempts to study interaction between people through, for example, the ebb and flow of contact or how communication varies between communities (e.g. Lu et al 2019;Luo et al 2014;Save 2020).…”

Section: Peoplementioning

confidence: 99%

“…3f, g; Bulkley 2006;Perer and Smith 2006;Viégas et al 2006). There are also iconographic representations of people or types of conversation (Mesarina et al 2009;Mandic and Kerne 2004;Viégas 2005; Save 2020), as well as, mountains and rose petals visualisations (Viégas 2005;Lu et al 2019).…”

Section: Peoplementioning

confidence: 99%

“…Second category of the branch, email content analysis (Contents) (e.g. Weisgerber and Butler 2009; Luo et al 2014;Butavicius et al 2012;Thanh Tung 2014;Lu et al 2019) aims to help users navigate a collection and withdraw meaningful data whether as a search or summary mechanism. This area draws heavily from the field of text analysis, with visualisations aimed at text summarisation, clustering of content and identification of themes or sentiments and is therefore the most varied in approach.…”

Section: Usagementioning

confidence: 99%

“…Visualisations include wordclouds (Fig. 3H; Lu et al 2019;Wen et al 2020;Weisgerber and Butler 2009) and/or plotting keyword, sentiment or topic on timelines (Luo et al 2014;Hangal et al 2011;King 2013;Lu et al 2019;Thanh Tung 2014;Viégas et al, 2006). Other examples include an analysis of content clustering (Fig.…”

Section: Usagementioning

confidence: 99%

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A survey on email visualisation research to address the conflict between privacy and access

2022

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Emails, much like communicative genres such as letters that predate them, are a rich source of data for researchers, but they are replete with privacy considerations. This paper explores the resulting friction between privacy concerns and email data access. Studies of email can often be centred on understanding patterns of behaviour and/or relationships between people or groups, and, as such, embody risks of disclosing private information. This is further amplified in humanities research which is concerned with the individual, their work and the circumstances that influence them. Furthermore, previous studies have expounded upon the benefits of visualisations for researching email data, a method which has been reported both as a path to addressing known concerns, as well as, introducing new concerns in privacy. The spectrum of methodologies leave archivists and curators of email data in a quandary, unable to balance accessibility with privacy. The research presented in this paper contributes a systematic approach to examining the relationship between email visualisation research and privacy. It presents a categorisation of email visualisation attributes, and a graded scale of privacy, to be used in conjunction as a framework for interrogating existing research and their associated email collections. The paper aims to instigate the first steps in concretely situating the extent to which research can take advantage of or is challenged by privacy conscious data management.

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“…Viégas, Golder and Donath 2006) but some only include the first three of these (e.g. Lu et al 2019). Others highlight the potential of visualisations to reveal personal information (e.g.…”

Section: Research Paper Categorisationmentioning

confidence: 99%

Section: Peoplementioning

confidence: 99%

Section: Peoplementioning

confidence: 99%

Section: Usagementioning

confidence: 99%

Section: Usagementioning

confidence: 99%

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A survey on email visualisation research to address the conflict between privacy and access

2022

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ScholatAna: Big Data-Based Academic Social Network User Behavior Preference System

Lin

et al. 2021

Computer Supported Cooperative Work and Social Computing

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Towards privacy-aware exploration of archived personal emails

Bartliff,

Kim,

Hopfgartner

2024

Int J Digit Libr

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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.

show abstract

An Email Visualization System Based on Event Analysis

Cited by 3 publications

References 14 publications

A survey on email visualisation research to address the conflict between privacy and access

A survey on email visualisation research to address the conflict between privacy and access

ScholatAna: Big Data-Based Academic Social Network User Behavior Preference System

Towards privacy-aware exploration of archived personal emails

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