Person: raveau, maria
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Publication The lexical divide: propositive modes and non agentic attitudes define the progressive left in Chile(2024) raveau, maria; Couyoumdjian, Juan Pablo; Fuentes-Bravo, Claudio; Rodriguez-Sickert, Carlos; Candia Vallejos, CristianInternal factors-such as psychological traits or individual attitudes-relate to and explain political cleavages. Yet, little is known about how locus of control, agency, and modal atti tudes impact political ideology. Utilizing textual analysis within the context of the Chilean 2015 constituent process, we go beyond traditional survey methods to explore community clusters in “Values” and “Rights” networks built upon the deliberation of 106,000 people. Our findings reveal distinct attitudinal patterns across political orientations: the progressive left generally exhibits a more propositive and non-agentic attitude, the traditional left adopts an evaluative stance towards values, and the right-wing community leans towards a factual attitude but shifts to an evaluative stance when discussing rights. These results underscore the role of psychological constructs in shaping political ideologies and introduce textual analysis as a robust tool for psychological and political inquiry. The study offers a compre hensive understanding of the complexities of political behavior and provides a new lens through which to examine the psychology of political ideology.Publication It's not the what but (also) the how: characterizing left-wing populism in political texts(2024) raveau, maria; Fernández, Miguel Angel; del Solar Zañartu, Maria Jose; Fuentes-Bravo, Claudio; Couyoumdjian, Juan PabloDespite all the elasticity and even ambiguity surrounding the concept of populism, the existing paradigms converge in the recognition of a populist rhetoric. By using Natural Language Processing (NLP) tools we propose a set of linguistic and discursive markers to identify populist markers in Presidential speeches. The performance of these markers is subsequently tested against the Global Populism Database (GPD). We set-up a multinomial regression model to study the predictive power of these markers on the GPD populist score, focusing on left-wing populist leaders in Spanish-speaking countries in Latin America. We are thus able to characterize (left-wing) populism as a style of communication, as well as to understand what is behind this rhetoric. Our results show that ingroup and emotional content are more present in populist speeches. We also find a positive relation between populism and the use future tense and conditional connectors, which suggest an intention to manipulate the audience. These results have implications both for the current understanding of (left-wing) populist rhetoric and for the conceptualization of populism itself.