The impact of perceptions of politician brand warmth and competence on voting intentions

The cultivation and maintenance of a brand is becoming increasingly important as politicians seek to connect with constituents. Through the lens of social cognition and group dynamics, this paper aims to understand the impact of evaluations of politician brands on voter intentions.

Three studies utilize the social cognition constructs of warmth and competence from the stereotype content model (SCM) and Brands as Intentional Agents Framework (BIAF) to evaluate the impact of brand perceptions on voting intentions, comparing fit between the models. The first study establishes the impact of these perceptions on existing politicians. The second study replicates these effects while controlling for party affiliation and extraneous factors and explicitly studies politicians as brands. The third study examines the formation of perceptions and assumptions when full information is unavailable.

Social cognition and group dynamics drive responses to politician brands. The data herein support perceptions of warmth and competence as significant predictors of voting intentions. Dependent upon whether the politician is being evaluated as a brand or a person, BIAF or SCM predicts the dimension that will be most impactful. These patterns persist in the absence of full information. As expected, voting intentions increased significantly when the voter was of the same (vs opposing) party as that of the candidate.

Conducted during an election year, evaluations of politicians are susceptible to the current political climate and the predominantly two party political system in which the studies were conducted. The design of Studies 2 and 3 addresses some of these limitations. Results point toward the interrelated nature of warmth and competence perceptions and the usefulness of applying both BIAF and SCM to understand how voters view politicians and the drivers of voting intentions.

This study evidences the depth to which perceptions of candidates impact voting intent, establishing politicians’ unique position as both brands and people. These findings prove useful in interpreting the outcome of elections this year, and beyond.

Expanding a limited body of existing research, this work contributes to our understanding of the application of SCM within the context of politician brands. As the first concurrent investigation of SCM and BIAF, these findings are of value to political strategists and academics alike. The contribution is augmented by the consideration of the impact of party affiliation and missing information.