RAVEAU MORALES, MARÍA PAZ
Preferred name
RAVEAU MORALES, MARÍA PAZ
Main Affiliation
Email
mraveau@udd.cl
ORCID
0000-0002-0769-2842
Scopus Author ID
57730537000
12 results
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Item type:Publication, The lexical divide: propositive modes and non-agentic attitudes define the progressive left in Chile(2024); ; ; Internal 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 attitudes 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 comprehensive understanding of the complexities of political behavior and provides a new lens through which to examine the psychology of political ideology.8 - Some of the metrics are blocked by yourconsent settings
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Item type:Publication, Natural language processing analysis of the psychosocial stressors of mental health disorders during the pandemic(Springer Science and Business Media LLC, 2023-10-05); Scopus© Citations 5 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, “It's not the what but (also) the how”: characterizing left-wing populism in political texts(2024); ; ; <jats:p>Despite 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.</jats:p>10 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An experiential account of a large-scale interdisciplinary data analysis of public engagement(2022)21Scopus© Citations 5 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The chilean constituent process: A Computational Social Science approach(2022)In October 2015, the government of Chile started a constitution-making process, which allowed citizen participation. During the participatory phase, citizens gathered in local selfconvoked encounters to debate on four dimensions: constitutional values, rights, duties, and institutions. For each one of these four dimensions, participants collectively selected seven concepts from a list provided by the government or added new ones. For each concept, they wrote down a short argument explaining why this concept should be included in the new constitution. Although this process did not result in a new Constitution, the citizen consultation resulted in a valuable and unique source of information about people’s social and political preferences. The first objective of this work is related to the constitutional process itself and the citizen participation. The Chilean process exhibited two critical design weaknesses we analyze here. The first one is representativeness: the voluntary nature of the encounters increased participation biases, as those citizens who support the acting government were more likely to participate in the consultation. We study the determining factors of citizen participation in ELAs by setting up various regression models at the municipality-level. We found that engagement in politics and support for the government increases participation, which suggests that citizen involvement in the constitutional process may have been ideologically driven. The second weakness is the group deliberation quality. For a public deliberation to produce epistemic superiority, all the participants should have access to relevant and accurate information and evidence. Then, we analyze the written arguments for each selected concept, using structural topic modeling and natural language processing. We show that the emergent content can be ideologically differentiated, and that groups from municipalities with higher socioeconomic index, on average, produce higher-quality deliberation compared to groups from less developed municipalities. The second object of study comes from the data. The dataset gathered in the local participatory phase provides a rich source of information about people’s political preferences. To map the political ideology, we built co-occurrence networks where the nodes represent the constitutional concepts, and the links represent the association among them. Then, we aim to discover the structure of the ideology by examining the resulting networks, and identifying clusters - highly connected groups of concepts - inside them. The communities we found are consistent with the political conglomerates existing in Chile in 2016. Finally, using natural language processing techniques, we extracted psycho-linguistic features from the argument texts. These features are “internal factors”, for they respond to the intrinsic psychological, emotional, attitudinal or cognitive state of the subject, which affects their political ideology. Next, we set up a discrete choice model to study the effect of those features in cluster membership. We find that the progressive-left cluster shows a more propositive and non-agentic attitude when referring to values, as opposed to the traditional left. Regarding the dimension of rights, the right-wing cluster displays a more valorative attitude, suggesting that first-generation rights may also play the role of values. Throughout all chapters, and by the methods we use, this work attempts to contribute to the field of computational social science4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Mapping the complexity of political ideology using emergent networks: the Chilean case(2022); ; Claudio Fuentes-Bravo<jats:title>Abstract</jats:title><jats:p>We propose a method to characterize political ideology using network theory. Our analysis is based on the 2015–2016 Chilean constituent process, where self-convened meetings were held throughout the country to discuss which Values, Rights, Duties, and Institutions should be included in the new constitution. Using this unique dataset, co-occurrence networks were constructed by considering the concepts selected in different meetings. The nodes are the concepts, and a link between two nodes represents the association between them. Political ideology is thus analyzed as an emergent network, and we can identify the main ideological communities in Chile and describe their characteristics. Beyond the local results, the proposed methodology enables representing the diversity of a community’s political orientations in a realistic ecological context.</jats:p>Scopus© Citations 2 4