Publicação
How AI Shapes Public Sentiment on Agency, Parametric Reductionism and Digital Expression [abstract]
| dc.contributor.author | Moutinho, Rodrigo Asfora | |
| dc.contributor.author | Rohden , Simoni F. | |
| dc.contributor.author | Pinto, Diego Costa | |
| dc.contributor.institution | Information Management Research Center (MagIC) - NOVA Information Management School | |
| dc.contributor.institution | NOVA Information Management School (NOVA IMS) | |
| dc.date.accessioned | 2025-09-02T21:09:39Z | |
| dc.date.available | 2025-09-02T21:09:39Z | |
| dc.date.issued | 2025-07 | |
| dc.description | Moutinho, R. A., Rohden , S. F., & Pinto, D. C. (2025). How AI Shapes Public Sentiment on Agency, Parametric Reductionism and Digital Expression [abstract]. 162-166. Abstract from AIRSI 2025, Zaragoza, Spain. | |
| dc.description.abstract | Artificial Intelligence (AI) has traditionally enabled data-driven decisions in different industries. Recently, have begun to incorporate intuitive and emphatic function, shifting from a business tool into a mainstream consumer technology (Flavián & Casaló, 2021; Huang & Rust 2018). To guide this investigation, we pose the following research questions: (1) How are societal constraints imposed by AI represented in public discourse, drawing from Valenzuela et al.'s (2024) AI Constraints Framework? (2) How do sentiment and topic patterns reflect concerns around agency, reductionism, and digital expression? | en |
| dc.description.version | publishersversion | |
| dc.description.version | published | |
| dc.format.extent | 5 | |
| dc.format.extent | 1555356 | |
| dc.identifier.other | PURE: 122045399 | |
| dc.identifier.other | PURE UUID: 5a7d074c-adad-44cd-81dd-27b8f8e4e1a3 | |
| dc.identifier.other | ORCID: /0000-0003-4418-9450/work/191048544 | |
| dc.identifier.uri | http://hdl.handle.net/10362/187423 | |
| dc.identifier.url | https://github.com/rodmoutinho/ai-societal-constraints | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.subject | parametric reduction | |
| dc.subject | agency transference | |
| dc.subject | topic modelling | |
| dc.subject | sentiment analysis | |
| dc.title | How AI Shapes Public Sentiment on Agency, Parametric Reductionism and Digital Expression [abstract] | en |
| dc.type | conference object | |
| degois.publication.firstPage | 162 | |
| degois.publication.lastPage | 166 | |
| degois.publication.title | AIRSI 2025 | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess |
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