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When feminism meets social networks
Library Hi Tech Pub Date : 2021-07-15 , DOI: 10.1108/lht-02-2021-0074
Gila Prebor 1
Affiliation  

Purpose

The purpose of this study is to examine how different feminist Facebook groups in Israel operate in order to better understand the main issues in their discussions about feminism in Israel. The study will also identify the variances between the different subgroups. A secondary research question examined was whether Voyant Tools can be used as an effective content text analysis tool in general and in Hebrew in particular.

Design/methodology/approach

The study's research method analyzes the content of Facebook posts using the Voyant Tools online toolkit to quantitatively analyze and visualize the results of text mining and data visualization. The sample consists of the texts of posts of three groups representing different currents in Israeli feminism, gathered over a period of three months.

Findings

The results show that there are high-frequency words occurring in all groups, each group has its unique words, which distinguish it from the other groups. Feminist and Halachic Feminist groups had few words in common, while the Religious Feminist groups had more words in common with both the Feminist and the Halachic Feminist groups and more so with the latter group. While all groups discussed the issue of violence against women, especially sexual violence, the degree of engagement varied greatly between the groups. In addition, there were clear differences in the prominent issues concerning the various groups. This paper demonstrates the possibility of using Voyant Tools for text mining and analysis.

Originality/value

This paper demonstrates the possibility of using Voyant Tools for text mining and analysis. Voyant Tools shed light on common concepts, their location and prevalence in the text.



中文翻译:

当女权主义遇上社交网络

目的

本研究的目的是研究以色列不同的 Facebook 女权主义团体如何运作,以便更好地了解他们讨论以色列女权主义的主要问题。该研究还将确定不同亚组之间的差异。审查的第二个研究问题是 Voyant Tools 是否可以用作一般有效的内容文本分析工具,特别是希伯来语的内容文本分析工具。

设计/方法论/途径

该研究的研究方法是使用 Voyant Tools 在线工具包分析 Facebook 帖子内容,对文本挖掘和数据可视化的结果进行定量分析和可视化。该样本由代表以色列女权主义不同潮流的三个团体在三个月内收集的帖子文本组成。

发现

结果表明,所有组中都存在高频词,每个组都有其独特的词,以区别于其他组。女权主义和哈拉奇女权主义团体几乎没有共同点,而宗教女权主义团体与女权主义和哈拉奇女权主义团体有更多的共同点,尤其是与后者。虽然所有团体都讨论了暴力侵害妇女问题,特别是性暴力问题,但各团体之间的参与程度差异很大。此外,不同群体所关注的突出问题也存在明显差异。本文演示了使用 Voyant Tools 进行文本挖掘和分析的可能性。

原创性/价值

本文演示了使用 Voyant Tools 进行文本挖掘和分析的可能性。Voyant 工具阐明了常见概念、它们在文本中的位置和流行程度。

更新日期:2021-07-15
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