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

Helena Häußler
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Abstract

ABSTRACT 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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搜索引擎中的信任:建立一种信任度量方法并在实验中应用
如今,用户信任搜索引擎似乎是基本的,尽管这种说法建立在很少的研究基础上。面对搜索的新发展,问题再次出现:用户对搜索引擎的信任程度如何,它是如何被证明的,以及它意味着什么后果。基于对信任的跨学科研究,本文概述了信任、可信赖性和信任相关行为的个体概念,并将其应用于网络搜索环境。到目前为止,还没有一个合适的工具来收集像搜索引擎这样的技术构件的信任的模糊概念。因此,信任措施将在定性实验室研究的帮助下开发,并通过在线调查进行验证。之后,将以b谷歌、Ecosia等搜索引擎和健康、金融领域的场景为对象进行实验。预期结果表明了对搜索引擎信任的原因和影响。因此,可以在民间社会、研究人员和政策制定者之间识别和讨论对搜索引擎的错误和有充分根据的信任案例。
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来源期刊
Proceedings of the Association for Information Science and Technology
Proceedings of the Association for Information Science and Technology Social Sciences-Library and Information Sciences
CiteScore
1.30
自引率
0.00%
发文量
164
期刊介绍: Information not localized
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