A Computational Text Analysis Approach to Investigating Public Discourse and Participation in the Case of the 2022 Arizona Legislative Study Committee on Housing

dc.contributor.authorCastille, Eve L.
dc.contributor.authorJanssen, Marco A.
dc.coverage.countryUnited States
dc.coverage.regionNorth America
dc.date.accessioned2024-06-05T15:00:34Z
dc.date.available2024-06-05T15:00:34Z
dc.date.issued2024
dc.description.abstractThere is increasing interest in participatory processes as a means to deal with complexity in governance challenges. It is thought to improve decision-making and outcomes by incorporating diverse values and knowledge and generating creative solutions through dialogue and deliberation. Who communicates, who has decision-making authority, and in what context the communication occurs shape the participants, the institutions they create, and the interactions they have within social-ecological systems? We build on the growing public discourse scholarship field to demonstrate how who communicates and who has decision-making authority shapes the institutions that are created. We demonstrate how computational text analysis methods may be used to investigate public discourse. Our study is the first application of these methods to public discourse of which we are aware.
dc.identifier.citationconfdatesJune 19-21, 2024
dc.identifier.citationconferenceWorkshop on the Ostrom Workshop 7
dc.identifier.citationconflocIndiana University, Bloomington
dc.identifier.urihttps://hdl.handle.net/10535/10976
dc.languageEnglish
dc.subjecthousing
dc.subject.sectorUrban Commons
dc.titleA Computational Text Analysis Approach to Investigating Public Discourse and Participation in the Case of the 2022 Arizona Legislative Study Committee on Housing
dc.typeConference Paperen_US
dc.type.publishedunpublished

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