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The Convergence of Virtual Reality and Social Networks: Threats to Privacy and Autonomy

Overview of attention for article published in Science and Engineering Ethics, January 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#47 of 952)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
3 news outlets
policy
4 policy sources
twitter
4 X users
patent
3 patents
facebook
2 Facebook pages

Citations

dimensions_citation
87 Dimensions

Readers on

mendeley
210 Mendeley
Title
The Convergence of Virtual Reality and Social Networks: Threats to Privacy and Autonomy
Published in
Science and Engineering Ethics, January 2015
DOI 10.1007/s11948-014-9621-1
Pubmed ID
Authors

Fiachra O’Brolcháin, Tim Jacquemard, David Monaghan, Noel O’Connor, Peter Novitzky, Bert Gordijn

Abstract

The rapid evolution of information, communication and entertainment technologies will transform the lives of citizens and ultimately transform society. This paper focuses on ethical issues associated with the likely convergence of virtual realities (VR) and social networks (SNs), hereafter VRSNs. We examine a scenario in which a significant segment of the world's population has a presence in a VRSN. Given the pace of technological development and the popularity of these new forms of social interaction, this scenario is plausible. However, it brings with it ethical problems. Two central ethical issues are addressed: those of privacy and those of autonomy. VRSNs pose threats to both privacy and autonomy. The threats to privacy can be broadly categorized as threats to informational privacy, threats to physical privacy, and threats to associational privacy. Each of these threats is further subdivided. The threats to autonomy can be broadly categorized as threats to freedom, to knowledge and to authenticity. Again, these three threats are divided into subcategories. Having categorized the main threats posed by VRSNs, a number of recommendations are provided so that policy-makers, developers, and users can make the best possible use of VRSNs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 <1%
Germany 1 <1%
Canada 1 <1%
Australia 1 <1%
Unknown 206 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 40 19%
Student > Ph. D. Student 37 18%
Student > Bachelor 23 11%
Researcher 19 9%
Student > Doctoral Student 10 5%
Other 28 13%
Unknown 53 25%
Readers by discipline Count As %
Computer Science 48 23%
Social Sciences 24 11%
Business, Management and Accounting 16 8%
Engineering 13 6%
Psychology 10 5%
Other 40 19%
Unknown 59 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 47. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 November 2023.
All research outputs
#865,948
of 24,911,633 outputs
Outputs from Science and Engineering Ethics
#47
of 952 outputs
Outputs of similar age
#11,373
of 364,250 outputs
Outputs of similar age from Science and Engineering Ethics
#2
of 11 outputs
Altmetric has tracked 24,911,633 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 952 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 364,250 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.