An experiential account of a large-scale interdisciplinary data analysis of public engagement

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dc.contributor.authorGoni, Julian Inaki
dc.contributor.authorFuentes, Claudio
dc.contributor.authorPaz Raveau, Maria
dc.date.accessioned2025-01-20T20:21:28Z
dc.date.available2025-01-20T20:21:28Z
dc.date.issued2023
dc.description.abstractThis article presents our experience as a multidisciplinary team systematizing and analyzing the transcripts from a large-scale (1.775 conversations) series of conversations about Chile's future. This project called "Tenemos Que Hablar de Chile" [We have to talk about Chile] gathered more than 8000 people from all municipalities, achieving gender, age, and educational parity. In this sense, this article takes an experiential approach to describe how certain interdisciplinary methodological decisions were made. We sought to apply analytical variables derived from social science theories and operationalize them through modern linguistics to guide a more theoretically informed natural language processing. The analysis was divided into three stages: (1) a descriptive analysis adapting descriptions of computational grounded theory, (2) a futurization analysis operationalizing concepts from futures studies, and (3) an argumentative analysis operationalizing concepts from argumentation theory. Overall, our methodological experimentation shed light on potential learnings for integrating a multidisciplinary perspective on NLP analysis with sensitive social content. Firstly, we developed a strategy for translation of knowledge based on the construction of what we called "analytical categories" in which a normative expectation or descriptive dimension was identified in the body of literature, operationalized through linguistics, and programmed in Python or R. Ultimately, we seek to reflect on the importance interdisciplinarity not only as means to find new analysis ideas but rather, to incorporate the critical, political and epistemological points of view to understand analysis as complex socio-technical processes.
dc.fuente.origenWOS
dc.identifier.doi10.1007/s00146-022-01457-4
dc.identifier.eissn1435-5655
dc.identifier.issn0951-5666
dc.identifier.urihttps://doi.org/10.1007/s00146-022-01457-4
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/92630
dc.identifier.wosidWOS:000805891900003
dc.issue.numero2
dc.language.isoen
dc.pagina.final593
dc.pagina.inicio581
dc.revistaAi & society
dc.rightsacceso restringido
dc.subjectNatural language processing
dc.subjectDeliberation
dc.subjectPublic dialogue
dc.subjectInterdisciplinary research
dc.subject.ods13 Climate Action
dc.subject.odspa13 Acción por el clima
dc.titleAn experiential account of a large-scale interdisciplinary data analysis of public engagement
dc.typeartículo
dc.volumen38
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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