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Original Research ARTICLE

Front. Polit. Sci. | doi: 10.3389/fpos.2021.636745

Personality goes a long way (for some). An experimental investigation into candidate personality traits, voters' profile, and perceived likeability Provisionally accepted The final, formatted version of the article will be published soon. Notify me

  • 1University of Amsterdam, Netherlands
  • 2University of Koblenz and Landau, Germany

Candidates’ personality traits, and the way these are perceived by the public at large, matter for political representation and electoral behavior. Unfortunately, disentangling the effects of partisanship and perceived personality on candidate evaluations is a tricky business, as voters tend to evaluate the personality of candidates based on their partisan preferences. In this article we tackle this issue via innovative experimental data. We present what is, to the best of our knowledge, the first study that manipulates the personality profile of a candidate and assesses its subsequent effects. The design, embedded in an online survey distributed to a convenience sample of US respondents (MTurk, N = 1,971), exposed respondents randomly to one of eight different “vignettes” presenting personality cues for a fictive candidate - one vignette for each of the five general traits (Big Five) and the three “nefarious” traits of the Dark Triad. Our results show that (i) the public at large dislikes “dark” politicians, and rate them significantly and substantially lower in likeability; (ii) voters that themselves score higher on “dark” personality traits (narcissism, psychopathy, Machiavellianism) tend to like dark candidates, in such a way that the detrimental effect observed in general is completely reversed for them; (iii) the effects of candidates’ personality traits are, in some cases, stronger for respondents displaying a weaker partisan attachment.

Keywords: experiment, Dark triad, Big Five, Candidate personality, personality of voters

Received: 02 Dec 2020; Accepted: 13 Jan 2021.

Copyright: © 2021 Nai, Maier and Vranic. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Prof. Alessandro Nai, University of Amsterdam, Amsterdam, 1012 WX, Netherlands,