
doi: 10.1111/soc4.70073
ABSTRACT Trust is a fundamental aspect of social life and essential for the proper functioning of democratic systems. In recent years, a growing number of studies and public discourses have diagnosed a crisis of trust in key public institutions. Such verdicts often rely on large‐scale surveys and experiments that aim to measure institutional trust. But how is trust exactly measured in these contexts, and what underlying conceptual assumptions shape these measurement approaches? In this interdisciplinary review, we provide an overview of current measures of institutional trust and discuss their advantages and limitations. We also address key conceptual questions surrounding the definition and operationalization of institutional trust, such as what trust actually means and whether trust surveys measure trust, or related concepts like confidence, reliability, or a combination of these. Finally, we propose directions for future research to address methodological gaps and enhance the validity of trust measures.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
