Big Data Discourses| Reframing Datafication: News Media Discourses on Big Data and AI

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 AI-driven 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.

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Publication Details

Journal
International journal of communication
Published
2026-01-27
DOI
https://doi.org/10.65476/75d24f96
Primary Topic
Computational and Text Analysis Methods
Type
article
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article

Big Data Discourses| Reframing Datafication: News Media Discourses on Big Data and AI

Gastón Becerra, Maria Cristina Paganoni
International journal of communication
Computational and Text Analysis Methods
article

Big Data Discourses| Reframing Datafication: News Media Discourses on Big Data and AI

Gastón Becerra, Maria Cristina Paganoni
article en

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 AI-driven 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.

International journal of communicationVol. 20
Consejo Nacional de Investigaciones Científicas y Técnicas (AR), University of Milan (IT)
Industry, innovation and infrastructure
Openalex Percentile: Top 84%
Computational and Text Analysis Methods
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Big Data Discourses| Reframing Datafication: News Media Discourses on Big Data and AI — Gastón Becerra, Maria Cristina Paganoni · International journal of communication (2026) | TGRS Research Map | TGRS