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[个人帖文视角下的全球新冠疫情——社交媒体中与平台相关的交流模式]

[The global Corona Pandemic in the mirror of personal postings-Platform-related modes of communication in social media].

作者信息

Eisewicht Paul, Steinmann Nico, Kortmann Pauline

机构信息

FK17 Sozialwissenschaften, TU Dortmund, Emil-Figge-Str. 50, 44227 Dortmund, Deutschland.

出版信息

OZS Osterr Z Soziol. 2021;46(4):353-384. doi: 10.1007/s11614-021-00465-w. Epub 2021 Nov 30.

DOI:10.1007/s11614-021-00465-w
PMID:34866859
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8630298/
Abstract

The article typifies individual experiences as well as collective negotiations of the crisis and the handling of it in the course of the COVID-19 pandemic on the basis of the platform Imgur.com. For this, we draw on a sample of 2% of the highest rated posts (645 posts) published under the hashtag #coronavirus. The posts were coded according to the principles of (Visual) Grounded Theory and descriptively-statistically analyzed following a mixed-method approach. It is not only noticeable how many different media formats are used, but also that the participants' own posts appear alongside posts from other social media that have been reused. The platform itself is thus also a filter for contributions from other platforms. In addition, personal posts on dealing with the pandemic appear alongside political criticism and informative postings. Along the analyzed data material, it can thus be shown that users can combine different communication purposes, such as entertainment, information and social connection, in rapid succession on the same platform. One focus of the analyses is on the media format of memes, which play a prominent role in social media and which, due to their multimodality and their reference context based on adaptive seriality, pose challenges to the process of data collection and analysis. The reflection on the basis of the material therefore provides new impulses for the study of memes and communication on social media.

摘要

本文以Imgur.com平台为基础，呈现了新冠疫情期间个人应对危机的经历以及集体协商与应对情况。为此，我们从#冠状病毒主题下评分最高的帖子中抽取了2%的样本（共645个帖子）。这些帖子依据（视觉）扎根理论原则进行编码，并采用混合方法进行描述性统计分析。值得注意的不仅是使用了多种不同的媒体形式，还包括参与者自己发布的帖子与其他被转载的社交媒体帖子一同出现。该平台本身因此也成为了其他平台内容的筛选器。此外，关于应对疫情的个人帖子与政治批评和信息类帖子并存。通过分析这些数据资料可以看出，用户能够在同一平台上迅速结合不同的交流目的，如娱乐、信息获取和社交联系。分析的一个重点是表情包这种媒体形式，它在社交媒体中扮演着重要角色，由于其多模态特性以及基于适应性序列的参考背景，给数据收集和分析过程带来了挑战。基于这些资料的思考为表情包及社交媒体传播研究提供了新的动力。

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