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ORIGINAL RESEARCH article

Front. Commun.
Sec. Multimodality of Communication
Volume 9 - 2024 | doi: 10.3389/fcomm.2024.1451105

Multimodal meaning making in news communication about immigration: Using the NewsScape Corpus to explore co-verbal images in TV news

Provisionally accepted
  • Lancaster University, Lancaster, United Kingdom

The final, formatted version of the article will be published soon.

    The communication of news relies on semiotic resources besides language, including various audiovisual modes of representation. Owing to the difficulties associated with obtaining televisual data, the vast majority of research addressing multimodality in the news has been targeted at print news media, where various strategies in visual representation and patterns of interaction between verbal and visual modes have been discerned. Where televisual data has been interrogated, this has been based on a very limited number of data points. In this study, I exploit the NewsScape library -a massive multimodal corpus of news communication -to investigate multimodal representations of immigration in television news. Accessible via CQPWeb, the corpus is searched for target utterances refugees/(im)migrants have VERBed and refugees/(im)migrants are VERBing. The co-verbal images accompanying 474 utterances describing motion events are analysed quantitatively and qualitatively. Among the results discussed are that refugees/migrants are depicted in large rather than small groups, that they are depicted in transit somewhere along the migratory journey rather than in countries of origin or destination countries, that they are depicted on land more than at sea, that they are depicted in security contexts, and that they are erased represented instead through abstract forms such as maps. Differences in the visual representation of people designated as 'refugee' versus 'migrant' are also observed and discussed.

    Keywords: immigration, multimodality, TV news, Multimodal constructions, discourse, NewsScape corpus

    Received: 18 Jun 2024; Accepted: 05 Aug 2024.

    Copyright: © 2024 Hart. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Christopher Hart, Lancaster University, Lancaster, United Kingdom

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