Abortion Ban in English Social Media in 2022: Pragmatic Linguistics of Online Communications

Virtual Communication and Social Networks Pub Date : 2022-12-22 DOI:10.21603/2782-4799-2022-1-4-172-178

A. Gnedash, V. Katermina

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引用次数: 1

Abstract

The present research featured the conflict discourse of online communication in social networks on the topic of abortion ban. The empirical base included 3,000,000 Twitter messages in English. The sampling by keywords women and abortion covered the period from May 1 to July 31, 2022, which saw an outburst of online and offline civic activities regarding some national anti-abortion policies. The resulting web corpus of network linguistic data (datasets) was subjected to multidimensional analysis using such methods as Data Science, mathematical modeling, relational sociology, corpus analysis, discourse analysis, etc. All these procedures combined resulted in a multidimensional comprehensive analysis of the simulated English asynchronous multimodal discursive field in Twitter. The models made it possible to visualize online communications in social networks, as well as to describe the discourse of online communication between pro-choice and pro-life. The authors analyzed the pragmatic potential of network communities on the current political agenda. The method might help to identify the conflict potential that can evolve from online communication into offline socio-political actions.

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2022年英语社交媒体中的堕胎禁令:网络交际的语用语言学

本研究以禁止堕胎为主题，以社交网络中在线传播的冲突话语为特征。实证基础包括300万条英文Twitter消息。以“女性和堕胎”为关键词的抽样涵盖了2022年5月1日至7月31日这段时间，这段时间线上和线下针对一些国家反堕胎政策的公民活动爆发。利用数据科学、数学建模、关系社会学、语料库分析、话语分析等方法，对网络语言数据(数据集)的网络语料库进行多维度分析。所有这些步骤结合起来，对Twitter中模拟英语异步多模态话语场进行了多维度的综合分析。这些模型使得可视化社交网络中的在线交流成为可能，也可以描述支持选择和反对生命之间的在线交流话语。作者分析了网络社区在当前政治议程上的实用潜力。该方法可能有助于识别可能从在线交流演变为离线社会政治行动的潜在冲突。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Virtual Communication and Social Networks

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