对社会媒体上交织的多模态话语结构的“多元主义”研究方法

C. Rathnayake, D. Suthers
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引用次数: 0

摘要

本研究提出了一个框架,用于检查社交媒体上带有标签的内容,该框架捕获了特定问题框架(即标签)如何对可导航结构做出贡献。我们引入了“交织多模态话语”,作为广泛应用的单一方法的多元选择,其中趋势标签作为主要的分析场所。该研究认为,社交媒体话语的“交织”是通过标签搭配等做法发生的,这导致了环境和可导航的结构。对标签托管网络的分析可以作为映射通过这种结构可访问的环境从属关系的方法。我们以在格拉斯哥举行的2021年联合国气候变化大会(COP26)期间上传的1100条与气候变化相关的Instagram帖子为样本,分析了一个标签托管网络,以证明Instagram上交织话语的两个结构特性:(1)标签有助于形成多个主题集群;(2)代表次要主题的微观层面的标签嵌套在更大的主题集群中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a ‘pluralist’ approach for examining structures of interwoven multimodal discourse on social media
This study proposes a framework for examining hashtagged content on social media, which captures how specific issue frames (i.e. hashtags) contribute to navigable structures. We introduce ‘interwoven multimodal discourse’ as a pluralist alternative to the widely applied unitary approach in which trending hashtags serve as primary sites of analysis. The study argues that ‘interweaving’ of social media discourse takes place through practices such as hashtag colocation, which result in ambient and navigable structures. Analysis of hashtag colocation networks can serve as an approach for mapping ambient affiliations accessible through such structures. We analyse a hashtag colocation network constructed using a sample of 1100 Instagram posts related to climate change uploaded during the United Nations Climate Change Conference 2021 (COP26) held in Glasgow to demonstrate two structural properties of interwoven discourse on Instagram: (1) hashtags contribute to multiple thematic clusters and (2) micro-level hashtags representing secondary topics are nested within larger thematic clusters.
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