Big Data Discourses| Reframing Datafication: News Media Discourses on Big Data and AI | ||
| dc.conicet.fuente | Crossref | |
| dc.conicet.organizacion | Università degli Studi di Milano | |
| dc.conicet.organizacion | Consejo Nacional de Investigaciones Científicas y Técnicas | |
| dc.conicet.paisOrganizacion | Italia | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.produccionid | 12933939 | |
| dc.contributor.author | Paganoni, Maria Cristina | |
| dc.contributor.author | Becerra, Gaston | |
| dc.date.accessioned | 2026-04-21T09:57:53Z | |
| dc.date.available | 2026-04-21T09:57:53Z | |
| dc.date.issued | 2026-01 | |
| dc.date.updated | 2026-04-17T18:18:14Z | |
| dc.description.abstract | This article examines how the news media reshape discourses on technology, focusing on datafication between 2019 and 2024—from the decline of big data to the rise of artificial intelligence (AI) and generative tools such as ChatGPT. Media narratives now emphasize AIdriven technologies across multiple sectors, framed through diverse perspectives. To assess the discursive impact of AI datafication, two news corpora—English and Spanish—are analyzed using a critically informed, mixed approach combining topic modeling, linguistic framing, and critical discourse studies. The analysis identifies six key narratives: AI versus human, popularization of AI, technology as business, surveillance, data politics, and the datafied society. The study traces how discourses have evolved in the transition from big data to AI, revealing shifting meanings and power dynamics. Ultimately, it contributes to debates on technological governance by showing how news narratives engage with critical perspectives on datafication. The move from data to information raises epistemological and ethical challenges, redefining the risks and promises of innovation in society. | es |
| dc.description.fil | Fil: Paganoni, Maria Cristina. Università degli Studi di Milano; Italia | |
| dc.description.fil | Fil: Becerra, Gaston. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | |
| dc.format | application/pdf | es |
| dc.identifier.citation | Paganoni, Maria Cristina; Becerra, Gaston; Big Data Discourses| Reframing Datafication: News Media Discourses on Big Data and AI; Annenberg Press; International Journal of Communication; 20; 21; 1-2026; 264-284 | es |
| dc.identifier.eissn | 1932-8036 | es |
| dc.identifier.institucional | CONICET | |
| dc.identifier.repo | CONICET Digital | |
| dc.identifier.uri | http://hdl.handle.net/11336/285213 | |
| dc.journal.number | 21 | es |
| dc.journal.pagination | 264-284 | es |
| dc.journal.pais | Estados Unidos | es |
| dc.journal.title | International Journal of Communication | es |
| dc.journal.volume | 20 | es |
| dc.language.iso | eng | es |
| dc.publisher | Annenberg Press | es |
| dc.relation.alternativeid | info:eu-repo/semantics/altIdentifier/url/https://ijoc.org/index.php/ijoc/article/view/23925 | |
| dc.relation.alternativeid | info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.65476/75d24f96 | |
| dc.rights | info:eu-repo/semantics/openAccess | * |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | * |
| dc.subject | INTELIGENCIA ARTIFICIAL | es |
| dc.subject | BIG DATA | es |
| dc.subject | CRITICAL DISCOURSE ANALYSIS | es |
| dc.subject | DATAFICATION | es |
| dc.subject.classification | Sociología | es |
| dc.subject.classification | Sociología | es |
| dc.subject.classification | CIENCIAS SOCIALES | es |
| dc.title | Big Data Discourses| Reframing Datafication: News Media Discourses on Big Data and AI | es |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:ar-repo/semantics/artículo | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
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