Measuring trust in maps: development and evaluation of the MAPTRUST scale

The emergence of deepfake geographies and the growing role that maps play in shaping public opinion on key issues has prompted cartographers to interrogate the concept of map trust. However, this growing area of research is hampered by inconsistent and untested measures of map trust. This study addresses this critical gap by developing and validating a numerical rating scale that exclusively measures map trust. A model of map trust consisting of specific indicators is derived from an exploratory factor analysis. This model is then evaluated using a confirmatory factor analysis. The results indicate that map trust can be explained from a single factor related to <i>veracity</i> and <i>reliability</i>. Two factors pertaining to <i>bias</i> and <i>appearance</i> did not explain enough variance in the model. Findings also suggest that map trust can be measured by having participants evaluate maps according to twelve empirically-derived indicators: <i>accurate</i>, <i>correct</i>, <i>error-free</i>, <i>honest</i>, <i>trustworthy</i>, <i>credible</i>, <i>fair</i>, <i>reliable</i>, <i>reputable</i>, <i>objective</i>, <i>authentic</i>, and <i>balanced</i>. Measurement validity and reliability assessments of this new scale are not only based on theory but are also empirically validated. This scale can be a useful tool for researchers and practitioners alike to measure an individual’s trust in maps.