Reframing Datafication: News Media Discourses on Big Data and AI

Abstract

This article examines how the news media reshape discourses on technology, focusing on dataification 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 dataification, 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 dataification. The move from data to information raises epistemological and ethical challenges, redefining the risks and promises of innovation in society.