Automatic Image Tagging for Corpus Linguistics: A Multimodal Study of News Representations of Islam

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Paul Baker (Lancaster University and Zhejiang Gongshang University) Hanna Schmück (Lancaster University)

Automatic Image Tagging for Corpus Linguistics

A Multimodal Study of News Representations of Islam

Paul Baker (Lancaster University and Zhejiang Gongshang University), Hanna Schmück (Lancaster University), Yufang Qian (Zhejiang Gongshang University)

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English

Cambridge University Press
24 July 2025

Computational linguistics; Research methods: general; Islam; Media studies

Series: Elements in Corpus Linguistics

Summary
Details

This Element reports on the creation and analysis of a 1.5-million-word corpus consisting of a year's worth of UK national press news articles about Islam and Muslims, published between December 2022 and November 2023. The corpus also contains 8,546 image files which have been automatically tagged using Google's Vertex AI. Analysis was carried out on three levels a) written text only, b) images only, c) interactions between written text and images. Using examples from the analyses, the authors demonstrate the affordances of these three approaches, providing a critical evaluation of Vertex AI's capabilities and the abilities of popular corpus software to work with visually tagged corpora. The Element acts as a practical guide for researchers who want to carry out this form of analysis. This title is also available as Open Access on Cambridge Core.

By: Paul Baker (Lancaster University and Zhejiang Gongshang University), Hanna Schmück (Lancaster University), Yufang Qian (Zhejiang Gongshang University)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Weight: 144g
ISBN: 9781009581257
ISBN 10: 1009581252
Series: Elements in Corpus Linguistics
Pages: 90
Publication Date: 24 July 2025
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active