Multimodal engagement strategies in science dissemination: A case study of TED talks and YouTube science videos

具身认知 多模态 计算机科学 传播 适应(眼睛) 面子(社会学概念) 过程(计算) 符号学 多媒体 万维网 社会学 心理学 语言学 人工智能 电信 社会科学 哲学 神经科学 操作系统
作者
Edgar Bernad-Mechó,Julia Valeiras‐Jurado
出处
期刊:Discourse Studies [SAGE]
卷期号:25 (6): 733-754 被引量:8
标识
DOI:10.1177/14614456231161755
摘要

The growing interest on science dissemination offers new opportunities to communicate science openly to various audiences, but also brings on the challenge of adapting to an audience that does not share the same academic background. This adaptation has been referred to as recontextualization. In the case of the formats that concern this study, that is, TEDx Talks and YouTube science dissemination videos, their multimodal nature suggests that recontextualization, and therefore engagement as a crucial aspect of this process, is likely to go way beyond purely linguistic aspects. The aim of this study is to unveil how engagement strategies in two science dissemination formats (a face to face talk and an online video) are realized through complex multimodal ensembles, and to highlight differences across them. In order to fulfill this aim, two talks by the same presenter and dealing with similar content were selected for analysis: a TEDx talk and a YouTube science dissemination video from the channel PBS Space Time. The recordings were annotated using the software Multimodal Video Analysis. The annotation included engagement strategies; embodied modes, that is, modes carried out using the body; and, in the case of the YouTube video, filmic modes, that is, modes triggered by the editing process of the recorded video. Our results show that the role of both embodied and filmic modes is paramount in the realization of engagement strategies. Our findings also bring to the fore significant differences in the ways in which the two distinct audiences are engaged, concerning the frequency and use of both semiotic modes and engagement strategies.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
星辰大海应助雁宁采纳,获得10
刚刚
shine发布了新的文献求助10
刚刚
盛yyyy完成签到,获得积分10
1秒前
办公室的李棒槌完成签到,获得积分10
1秒前
nobody完成签到,获得积分10
1秒前
叶克思完成签到 ,获得积分10
1秒前
Zoye发布了新的文献求助10
2秒前
123456777发布了新的文献求助10
2秒前
木木木木完成签到,获得积分10
2秒前
健康的涵菡完成签到,获得积分20
2秒前
嘤嘤怪发布了新的文献求助10
2秒前
11完成签到,获得积分10
3秒前
铭铭明发布了新的文献求助30
3秒前
铁手无情发布了新的文献求助10
3秒前
喵喵完成签到,获得积分10
3秒前
往往超可爱完成签到 ,获得积分10
3秒前
1234完成签到,获得积分10
3秒前
化学纯蓝色完成签到,获得积分10
4秒前
鄙视注册完成签到,获得积分10
4秒前
DIDIDA发布了新的文献求助10
4秒前
amrothan完成签到,获得积分10
5秒前
ludens完成签到,获得积分10
5秒前
5秒前
花开hhhhhhh发布了新的文献求助10
5秒前
6秒前
沉舟完成签到 ,获得积分10
6秒前
科研通AI5应助叁叁采纳,获得10
6秒前
7秒前
7秒前
7秒前
1234发布了新的文献求助10
7秒前
李爱笑完成签到,获得积分10
7秒前
illusion完成签到,获得积分10
7秒前
充电宝应助虚心的冷雪采纳,获得30
7秒前
渔Avery完成签到,获得积分10
7秒前
Liar应助七块采纳,获得10
8秒前
华仔应助shine采纳,获得10
9秒前
9秒前
科研通AI5应助呦吼。。。采纳,获得10
10秒前
充电宝应助科研小小小白采纳,获得10
10秒前
高分求助中
Continuum Thermodynamics and Material Modelling 4000
Production Logging: Theoretical and Interpretive Elements 2700
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
El viaje de una vida: Memorias de María Lecea 800
Theory of Block Polymer Self-Assembly 750
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3511897
求助须知:如何正确求助?哪些是违规求助? 3094518
关于积分的说明 9223328
捐赠科研通 2789285
什么是DOI,文献DOI怎么找? 1530630
邀请新用户注册赠送积分活动 711020
科研通“疑难数据库(出版商)”最低求助积分说明 706494