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Developing a measure of online wellbeing and user trust

Alternative title:
Conference paper
Abstract:
This paper describes the first stage of the ongoing development of two scales to measure online wellbeing and trust, based on the results of a series of workshops with younger and older adults. The first, the Online Wellbeing Scale includes subscales covering both psychological, or eudaimonic, wellbeing and subjective, or hedonic, wellbeing, as well as digital literacy and online activity; the overall aim is to understand how a user’s online experiences affect their wellbeing. The second scale, the Trust Index includes three subscales covering the importance of trust to the user, trusting beliefs, and contextual factors; the aim for this scale is to examine trust in online algorithm-driven systems. The scales will be used together to aid researchers in understanding how trust (or lack of trust) relates to overall wellbeing online. They will also contribute to the development of a suite of tools for empowering users to negotiate issues of trust online, as well as in designing guidelines for the inclusion of trust considerations in the development of online algorithm-driven systems. The next step is to release the prototype scales developed as a result of this pilot in a large online study in to validate the measures.
Publication status:
Published
Peer review status:
Peer reviewed

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Publication website:
https://www.unirioja.es/ethicomp/2020/publications.html

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author


Publisher:
Universidad de La Rioja
Host title:
Proceedings of the ETHICOMP 2020: Paradigm Shifts in ICT Ethics
Pages:
26-28
Publication date:
2020-06-17
Acceptance date:
2020-04-30
Event title:
ETHICOMP 2020: 18 International Conference on the Ethical and Social Impacts of ICT
Event location:
Logroño, La Rioja, Spain
Event start date:
2020-06-15
Event end date:
2020-07-06


Language:
English
Keywords:
Pubs id:
1120489
Local pid:
pubs:1120489
Deposit date:
2020-07-20
ARK identifier:

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