Multimodality as a framework for the study of verbal and non-verbal resources in web-based science communication. The case of science crowdfunding videos (SCVs)

In a multimodal approach to communication, language is just one of many communicative modes that can be used to deliver a message and the overall meaning of a semiotic product is conveyed by the orchestration of those modes into multimodal ensembles (i.e., combinations of semiotic modes). Multimodality studies are gaining recognition in ESP, particularly in the study of digital genres for science popularisation. These genres are web-based and rely on multiple semiotic resources afforded by digital technologies to disseminate scientific knowledge to lay audiences, such as speech, gestures, images, sound, and camera effects. This paper explores multimodal communication in science crowdfunding videos (SCVs), a digital genre intended to get the Internet audience involved in a research project. Drawing on a case study of 3 SCVs from Experiment.com and qualitative interviews to their author- scientists, the results show how the engagement of online audiences is achieved by combining language with a variety of non-verbal resources mediated through the scientist’s body language and through video edition, such as the embedding of images and video footage, and the choice of camera shot and angle. Moreover, the study reveals eight multimodal ensembles that enhance audience engagement through the scientist’s presence, text, and visual aids.

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Publication Details

Journal
Círculo de lingüística aplicada a la comunicación
Published
2026-03-09
DOI
https://doi.org/10.5209/clac.94692
Primary Topic
Climate Change Communication and Perception
Type
article
Field-Weighted Citation Impact
0.00

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article

Multimodality as a framework for the study of verbal and non-verbal resources in web-based science communication. The case of science crowdfunding videos (SCVs)

Ana Cristina Vivas Peraza
Círculo de lingüística aplicada a la comunicación
Climate Change Communication and Perception
article

Multimodality as a framework for the study of verbal and non-verbal resources in web-based science communication. The case of science crowdfunding videos (SCVs)

Ana Cristina Vivas Peraza
article en

Abstract

In a multimodal approach to communication, language is just one of many communicative modes that can be used to deliver a message and the overall meaning of a semiotic product is conveyed by the orchestration of those modes into multimodal ensembles (i.e., combinations of semiotic modes). Multimodality studies are gaining recognition in ESP, particularly in the study of digital genres for science popularisation. These genres are web-based and rely on multiple semiotic resources afforded by digital technologies to disseminate scientific knowledge to lay audiences, such as speech, gestures, images, sound, and camera effects. This paper explores multimodal communication in science crowdfunding videos (SCVs), a digital genre intended to get the Internet audience involved in a research project. Drawing on a case study of 3 SCVs from Experiment.com and qualitative interviews to their author- scientists, the results show how the engagement of online audiences is achieved by combining language with a variety of non-verbal resources mediated through the scientist’s body language and through video edition, such as the embedding of images and video footage, and the choice of camera shot and angle. Moreover, the study reveals eight multimodal ensembles that enhance audience engagement through the scientist’s presence, text, and visual aids.

Círculo de lingüística aplicada a la comunicaciónVol. 105
Universidad de Zaragoza (ES)
Ministerio de Ciencia e Innovación
Quality Education
Openalex Percentile: Top 36%
Climate Change Communication and Perception
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Multimodality as a framework for the study of verbal and non-verbal resources in web-based science communication. The case of science crowdfunding videos (SCVs) — Ana Cristina Vivas Peraza · Círculo de lingüística aplicada a la comunicación (2026) | TGRS Research Map | TGRS