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Open Access
Article
Publication date: 21 June 2019

Pengze Li, Ran Zhang, Lei Liu, Lizhen Cui, Qingzhong Li and Guangpeng Zhou

Science of the Crowd is a new paradigm. The research on the relationship between provision and requirement arising from the behavior of the crowd under the interconnected…

Abstract

Purpose

Science of the Crowd is a new paradigm. The research on the relationship between provision and requirement arising from the behavior of the crowd under the interconnected environment is a promising topic. This paper aims at studying a new type of interconnected architecture.

Design/methodology/approach

This study is a pioneer work on the establishment of a new type of interconnected architecture – rim chain. The rim chain aims at supporting prompt matching between provision and requirements.

Findings

The analytical results suggest that requirements can be fulfilled in accordance with six degrees of separation. In other words, the matching between the requirements and provision takes place with six hops in the rim chain framework.

Originality/value

Knowledge graph is used to implement the rim chain.

Details

International Journal of Crowd Science, vol. 3 no. 2
Type: Research Article
ISSN: 2398-7294

Keywords

Book part
Publication date: 6 December 2021

Rachael Kent

This chapter provides a historical contextualisation of health tracking and public health communication from the post-World War Two development of the welfare state…

Abstract

This chapter provides a historical contextualisation of health tracking and public health communication from the post-World War Two development of the welfare state, through the birth of neoliberalism, until today’s individualising practices of digital health tracking and quantification of bodies. Through an examination of these three phases of public health quantification of bodies, encompassing the socio-economic, cultural and political shifts since 1948, combined with the development and wide adoption of digital health and self-quantifying technologies, this chapter traces the changing landscape and the dramatic implications this has had for shifting who is responsible for maintaining ‘good’ health. This chapter illustrates how neoliberal free market principles have reigned over UK public health discourse for many decades, seeing health as no longer binary to illness, but as a practice of individual self-quantification and self-care. In turn, the chapter explores how the quantification and health tracking of bodies has become a dominant discourse in public health promotion, as well as individual citizenship and patient practices. This discourse still exists pervasively as we move into the digital society of the 2020s, through the Covid-19 pandemic and beyond; with public health strategies internationally promoting the use of digital health tools in our everyday, further positioning citizens as entrepreneurial subjects, adopting extensive technological measures in an attempt to measure and ‘optimise’ health, normalising the everyday quantification of bodies.

Details

The Quantification of Bodies in Health: Multidisciplinary Perspectives
Type: Book
ISBN: 978-1-80071-883-8

Keywords

Open Access
Article
Publication date: 6 August 2019

Shipeng Wang, Lizhen Cui, Lei Liu, Xudong Lu and Qingzhong Li

The purpose of this paper is to build cyber-physical-psychological ternary fusion crowd intelligence network and realize comprehensive, real, correct and synchronous…

Abstract

Purpose

The purpose of this paper is to build cyber-physical-psychological ternary fusion crowd intelligence network and realize comprehensive, real, correct and synchronous projection in cyber–physical–psychological ternary fusion system. Since the network of crowd intelligence is the future interconnected network system that takes on the features of large scale, openness and self-organization. The Digital-selfs in the network of crowd intelligence interact and cooperate with each other to finish transactions and achieve co-evolution eventually.

Design/methodology/approach

To realize comprehensive, real, correct and synchronous projection between cyber–physical–psychological ternary fusion system, the authors propose the rules and methods of projection from real world to the CrowdIntell Network. They build the mental model of the Digital-self including structure model and behavior model in four aspects: identity, provision, demand and connection, thus forming a theoretical mental model framework of Digital-self.

Findings

The mental model is excepted to lay a foundation for the theory of modeling and simulation in the research of crowd science and engineering.

Originality/value

This paper is the first one to propose the mental model framework and projection rules and methods of Digital-selfs in network of crowd intelligence, which lays a solid foundation for the theory of modeling, simulation, intelligent transactions, evolution and stability of CrowdIntell Network system, thus promoting the development of crowd science and engineering.

Details

International Journal of Crowd Science, vol. 3 no. 2
Type: Research Article
ISSN: 2398-7294

Keywords

Article
Publication date: 5 April 2021

Thanos Papaioannou, Aggeliki Tsohou and Maria Karyda

This paper aims to identify the data elements that social network sites (SNS) users consider important for shaping their digital identity and explore how users’ privacy…

Abstract

Purpose

This paper aims to identify the data elements that social network sites (SNS) users consider important for shaping their digital identity and explore how users’ privacy concerns, self-esteem and the chosen SNS shape this process.

Design/methodology/approach

This study conducted an online survey with the participation of 759 individuals, to examine the influence of privacy concerns, self-esteem and the chosen SNS platform, on the shaping of the digital identity, through a classification of identity elements that users disclose when using a SNS, the Rosenberg self-esteem scale and relevant constructs from the literature.

Findings

Findings reveal that users consider the name, gender, picture, interests and job as most important elements for shaping their digital identity. They also demonstrate that privacy concerns do not seem to affect the amount of information users choose to publish when shaping their digital identity. Specific characteristics of SNS platforms are found to affect the way that users shape their digital identity and their privacy behavior. Finally, self-esteem was found to affect privacy concerns and digital identity formation.

Research limitations/implications

To avoid a lengthy questionnaire and the risk of low participation, the respondents answered the questions for one SNS of their choice instead of answering the full questionnaire for each SNS that they use. The survey included the most popular SNSs at the time of the survey in terms of popularity.

Practical implications

The results contribute to the theory by furthering our knowledge on the elements that shape digital identity and by providing evidence with regard to the role of privacy and self-esteem within social networking. In practice, they can be useful for SNS providers, as well as for entities that design security and privacy awareness campaigns.

Originality/value

This paper identifies novel factors that influence digital identity formation, including the specific SNS used with its particular characteristics in combination with privacy concerns and self-esteem of the user.

Details

Information & Computer Security, vol. 29 no. 2
Type: Research Article
ISSN: 2056-4961

Keywords

Article
Publication date: 3 September 2019

Ciaran B. Trace and Yan Zhang

The purpose of this article is to examine the ways in which self-tracking data have meaning and value in and after the life of the creator, including how such data could…

Abstract

Purpose

The purpose of this article is to examine the ways in which self-tracking data have meaning and value in and after the life of the creator, including how such data could become part of the larger historical record, curated in an institutional archive. In doing so, the article expands upon existing shared interests among researchers working in the areas of self-tracking, human–computer interaction and archival science.

Design/methodology/approach

A total of 18 people who had self-tracked for six months or more were recruited for the study. Participants completed a survey which gathered demographic data and characteristics vis-à-vis their self-tracking behavior. In-person semi-structured interviews were then conducted to ascertain the beliefs of the participants regarding the long-term use and value of personal quantified-self data.

Findings

The findings reveal the value that people place on self-tracking data, their thoughts on proper modes for accessing their archive once it moves from the private to the public space, and how to provide fidelity within the system such that their experiences are represented while also enabling meaning making on the part of subsequent users of the archive.

Originality/value

Today’s quantified-self data are generally embedded in systems that create a pipeline from the individual source to that of the corporate warehouse, bent on absorbing and extracting insight from a totality of big data. This article posits that new opportunities for knowing and for design can be revealed when a public interest rationale is appended to rich personalized collections of small data.

Details

Journal of Documentation, vol. 76 no. 1
Type: Research Article
ISSN: 0022-0418

Keywords

Abstract

Details

Malleable, Digital, and Posthuman
Type: Book
ISBN: 978-1-80117-621-7

Book part
Publication date: 16 September 2020

Nancy Adam-Turner, Dana Burnett and Gail Dickinson

Technology is integral to contemporary life; where the digital transformation to virtual information accessibility impacts instruction, it alters the skills of learning…

Abstract

Technology is integral to contemporary life; where the digital transformation to virtual information accessibility impacts instruction, it alters the skills of learning and comprehension (Gonzalez-Patino & Esteban-Guitart, 2014; Lloyd, 2010). Although librarians/media specialists provide orientation, instruction, and research methods face-to-face and electronically, they recognize that digital learning instruction is not a linear process, and digital literacy (DL) is multi-disciplinary (Belshaw, 2012). Policy and public research findings indicate that higher education must be prepared to adapt to rapid changes in digital technology (Maybee, Bruce, Lupton, & Rebmann, 2017). Digital learning undergoes frequent transformations, with new disruptive innovation and research attempts at redefinition (Palfrey, 2015). Research often overlooks junior/community colleges. We are all learners and we need to understand the digital learning challenges that incorporating DL includes in the new digital ecology (Adams Becker et al., 2017). This study provides real faculty/librarian commentaries regarding the understanding needed to develop digital learning and contemporary digital library resources. The authors investigate faculties’ and librarians’ degree of DL perceptions with instruction at junior/community colleges. Survey data analysis uses the mean of digital self-efficacy of variables collected, revealing that participants surpassed Rogers’s (2003) chasm of 20% inclusion. Findings provided data to develop the Dimensions of Digital Learning rubric, a new evaluation tool that encourages faculty DL cross-training, librarians’ digital learning collaboration, and effective digital learning spaces.

Open Access
Article
Publication date: 3 June 2021

Lulu Ge, Zheming Yang and Wen Ji

The evolution of crowd intelligence is a mainly concerns issue in the field of crowd science. It is a kind of group behavior that is superior to the individual’s ability…

Abstract

Purpose

The evolution of crowd intelligence is a mainly concerns issue in the field of crowd science. It is a kind of group behavior that is superior to the individual’s ability to complete tasks through the cooperation of many agents. In this study, the evolution of crowd intelligence is studied through the clustering method and the particle swarm optimization (PSO) algorithm.

Design/methodology/approach

This study proposes a crowd evolution method based on intelligence level clustering. Based on clustering, this method uses the agents’ intelligence level as the metric to cluster agents. Then, the agents evolve within the cluster on the basis of the PSO algorithm.

Findings

Two main simulation experiments are designed for the proposed method. First, agents are classified based on their intelligence level. Then, when evolving the agents, two different evolution centers are set. Besides, this paper uses different numbers of clusters to conduct experiments.

Practical implications

The experimental results show that the proposed method can effectively improve the crowd intelligence level and the cooperation ability between agents.

Originality/value

This paper proposes a crowd evolution method based on intelligence level clustering, which is based on the clustering method and the PSO algorithm to analyze the evolution.

Details

International Journal of Crowd Science, vol. 5 no. 2
Type: Research Article
ISSN: 2398-7294

Keywords

Article
Publication date: 2 September 2021

Helen Bocking, Rebekah Russell-Bennett and Kate Letheren

The use of supportive digital technology – the provision of supportive services and self-management health tools using digital platforms – by marketers is increasing…

Abstract

Purpose

The use of supportive digital technology – the provision of supportive services and self-management health tools using digital platforms – by marketers is increasing alongside research interest in the topic. However, little is known about the motivations to use these tools and which tool features provide different forms of social support (informational, emotional, instrumental, network or esteem). The purpose of this paper is thus to explore consumer perceptions of supportive healthcare self-management and preferences for different levels of interactive features as social support in a health services context.

Design/methodology/approach

A qualitative approach involving 30 semi-structured interviews with consumers interested in two common preventative health services that use supportive digital tools (SDTs) (skin-cancer checks and sexually transmitted infection checks) was undertaken. Thematic analysis was used to analyse the verbatim transcripts.

Findings

This research identified there is a lack of motivation to initiate the search for SDTs; consumers are motivated by a desire to control and monitor health concerns and avoid overuse of the health system. The findings showed a preference for social support to go beyond informational support, with a need for interactivity that personalised support in a proactive manner.

Research limitations/implications

SDTs are positively perceived by consumers as part of health services. The motivation to use these tools is complex, and the social support needed is multifaceted and preferably interactive.

Practical implications

This research assists service marketers to better design informational and instrumental support for preventative self-managed healthcare services.

Originality/value

This paper extends knowledge about the motivation and social support required from SDTs in a preventative health service context.

Details

Journal of Service Theory and Practice, vol. 32 no. 2
Type: Research Article
ISSN: 2055-6225

Keywords

Article
Publication date: 5 June 2017

Jon D. Elhai, Jason C. Levine and Brian J. Hall

Despite concerns about digital privacy, little is known about emotional distress about data hacking and surveillance incidents. The purpose of this paper is to examine…

2731

Abstract

Purpose

Despite concerns about digital privacy, little is known about emotional distress about data hacking and surveillance incidents. The purpose of this paper is to examine variables predicting anxiety about data hacking, and the role that such anxiety and other potentially important variables have in explaining the use of digital privacy protection behavior.

Design/methodology/approach

In total, 305 participants from an online labor market were sampled who frequently use the internet, surveyed about recent anxiety (using the Generalized Anxiety Disorder-7 scale (GAD-7)), anxiety about data hacking (GAD-7, in reference to data hacking), and issues of digital privacy: news exposure, perceived importance, self-efficacy, protection behavior, and previous hacking victimization.

Findings

Profession (information technology-related) moderated the symptom structure for recent anxiety, but not data hacking anxiety. Using structural equation modeling, prior hacking victimization predicted anxiety about hacking. Digital privacy protection behavior was related to hacking anxiety and privacy self-efficacy. Data hacking anxiety mediated relations between hacking victimization and privacy protection. Privacy self-efficacy mediated relations between news exposure to hacking incidents and privacy protection.

Research limitations/implications

Limitations include the self-report nature of the instruments, and use of a selective, non-random sample.

Practical implications

Results highlight knowledge, self-efficacy, and threat appraisal among IT managers in motivating better digital security practices.

Originality/value

This is the first study using a standardized instrument of anxiety to examine distress about hacking and predictors of digital privacy protection behavior.

Details

Internet Research, vol. 27 no. 3
Type: Research Article
ISSN: 1066-2243

Keywords

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