Big Data Discourses| A Model of Frame Categories for Analyzing Media Discourse of Emerging Technologies

This article presents a model of frame categories for analyzing media discourse about emerging technologies, applying it to 2 original case studies on UK news coverage of big data and generative artificial intelligence (gen-AI). The Frame Categories for Emerging Technologies (FCET) model offers 4 categories (Conceptualization, Newness, User Experience, and Evaluation) to allow researchers to identify frames inductively while affording easy and effective comparisons across studies. The empirical results demonstrate this, showing that the news included frames unique to each technology (such as Vast for big data and Human-Like for gen-AI), as well as shared frames such as Revolutionary and Important. This article contributes to the literature on media discourse of emerging technologies and offers a methodological approach to improve the quality and comparability of future studies in this area.

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Publication Details

Journal
International journal of communication
Published
2026-01-27
DOI
https://doi.org/10.65476/82q8mw89
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Big Data Discourses| A Model of Frame Categories for Analyzing Media Discourse of Emerging Technologies

Emma Kaylee Graves-Sandriman
International journal of communication
Ethics and Social Impacts of AI
article

Big Data Discourses| A Model of Frame Categories for Analyzing Media Discourse of Emerging Technologies

Emma Kaylee Graves-Sandriman
article en

Abstract

This article presents a model of frame categories for analyzing media discourse about emerging technologies, applying it to 2 original case studies on UK news coverage of big data and generative artificial intelligence (gen-AI). The Frame Categories for Emerging Technologies (FCET) model offers 4 categories (Conceptualization, Newness, User Experience, and Evaluation) to allow researchers to identify frames inductively while affording easy and effective comparisons across studies. The empirical results demonstrate this, showing that the news included frames unique to each technology (such as Vast for big data and Human-Like for gen-AI), as well as shared frames such as Revolutionary and Important. This article contributes to the literature on media discourse of emerging technologies and offers a methodological approach to improve the quality and comparability of future studies in this area.

International journal of communicationVol. 20
Canterbury Christ Church University (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 79%
Ethics and Social Impacts of AI
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Big Data Discourses| A Model of Frame Categories for Analyzing Media Discourse of Emerging Technologies — Emma Kaylee Graves-Sandriman · International journal of communication (2026) | TGRS Research Map | TGRS