The Nuanced Nature of Trust and Privacy Control Adoption in the Context of Google

Haque, Ehsan Ul; Khan, Mohammad Maifi Hasan; Fahim, Md

doi:10.1145/3544548.3581387

Cited by 4 publications

(2 citation statements)

References 33 publications

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“…Unlike trust, items already exist to survey trustworthiness and reliance (Thatcher et al, 2011; Ul Haque et al, 2023), which will be adapted to the corresponding search engines. A quantitative survey will be conducted to evaluate the reliability and validity of the reformulated and newly created items.…”

Section: Methodsmentioning

confidence: 99%

“…Due to the lack of agency of the ranking algorithm, there should be a differentiation between the antecedents of trust. Concerning the search engine operator, trustworthiness can be described as the ability and motivation to fulfill the user's need following shared values (Ul Haque et al, 2023). However, concerning the ranking algorithm, adapting the trustworthiness factors is appropriate (McKnight et al, 2011).…”

Section: Literature Reviewmentioning

confidence: 99%

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Trust in Search Engines: Developing a Trust Measure and Applying It in an Experiment

Häußler

2023

Proceedings of the Association for Information Science and Tech

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Nowadays, users trusting search engines appears fundamental, although this claim is built on little research. In face of new developments of search, the question comes up again: to what extent users trust a search engine, how it is justified, and which consequences does it imply. Based on interdisciplinary research on trust, the individual concepts of trust, trustworthiness, and trust‐related behavior ares outlined and applied to the web search context. To date, there is not an adequate instrument for collecting the ambiguous concept of trust for technical artifacts like search engines. Therefore, a trust measure will be developed with the help of a qualitative laboratory study and validated with an online survey. Afterwards, the measure will be applied in an experiment to the search engines Google and Ecosia and scenarios from the health and finance domain. The expected results indicate the causes and effects of trust in a search engine. In consequence, misplaced and well‐founded cases of trust in search engines can be identified and discussed among civil society, researchers, and policymakers.

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Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%