
doi: 10.1017/lar.2022.32
AbstractMounting evidence shows that authoritarian orientations exert a powerful influence on public opinion attitudes and candidate support. The 2018 Brazilian elections brought to power Jair Bolsonaro, a candidate with an open disregard for democracy and democratic institutions. This study examines Brazilian voters’ differences in authoritarianism and electoral support for a right-wing authoritarian candidate. It employs the AmericasBarometer national survey data to demonstrate that authoritarianism is politically important in Brazil because of its association with attitudes toward the use of force as well as with conservative social and political attitudes. The effect of authoritarianism on the probability of voting for Bolsonaro is as large as that of other relevant political behavior variables such as ideology, negative partisanship, or religiosity, whereas nonauthoritarian voters spread their votes across other candidates. Although these other variables are also relevant to Bolsonaro’s victory, his candidacy was uniquely able to mobilize a coalition of authoritarian voters. Whether or not authoritarianism remains a salient cleavage in the electorate is considered along with the consequences of this potential divide for political competition in Brazilian politics.
| 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). | 8 | |
| 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. | Top 10% |
