Approaching informal learning about #feminism on Twitter

IF 1.7 Q2 EDUCATION & EDUCATIONAL RESEARCH On the Horizon Pub Date : 2021-09-27 DOI:10.1108/oth-06-2020-0021
Verónica Valcarce de Veer, Paloma Valdivia-Vizarreta
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Abstract

Purpose In a socio-educational context impregnated by social networks, feminist organizations and individuals have turned to social media to spread their knowledge. This paper aims to approach how feminist tweets are produced to ignite meaningful informal learning (IL) processes. Design/methodology/approach This study uses an interdisciplinary mixed methodology. By using Twitter tracking tools, a database has been enabled to catalogue feminist hashtags into topics and categories for further analysis. These data have been contrasted with surveys to the managers of the most followed feminist accounts in Spain and Catalonia. Findings From an educational perspective, the analysed feminist hashtags have been organized in 13 different topic categories. The different propagation processes on Twitter – tweeting and retweeting – imply diverse learning processes. Moreover, tweets with complementary information such as images or links generate the most interaction, being the preferred format for IL. Research limitations/implications Researching with Big Data in educational sciences is a field in development, and Twitter data collection tools are mostly addressed to marketing and economic sectors; thus, free tools with limited services were used, offering the analysis of a brief and concrete situation of a platform in constant change. Although this ephemeral data and its relevance does not prevail over time, it has an impact on citizens’ learning. Originality/value It is the first study in Spain that illustrates the informal education that feminism offers to the community, facing the complexity of measuring Twitter with an educational perspective through the use of marketing tools.
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在推特上非正式地学习#女权主义
在社交网络渗透的社会教育背景下,女权主义组织和个人转向社交媒体传播她们的知识。本文旨在探讨女权主义推文是如何产生的,以点燃有意义的非正式学习(IL)过程。设计/方法/方法本研究采用跨学科混合方法。通过使用Twitter跟踪工具,一个数据库已经能够将女权主义标签分类为主题和类别,以供进一步分析。这些数据与对西班牙和加泰罗尼亚最受关注的女权主义账户经理的调查进行了对比。从教育的角度来看,分析的女权主义标签被分为13个不同的主题类别。Twitter上不同的传播过程——推文和转发——意味着不同的学习过程。此外,带有图片或链接等补充信息的推文产生了最多的互动,是il的首选格式。研究限制/启示在教育科学中使用大数据进行研究是一个正在发展的领域,Twitter数据收集工具主要针对营销和经济部门;因此,使用了有限服务的免费工具,提供了对不断变化的平台的简要和具体情况的分析。虽然这种短暂的数据及其相关性不会随着时间的推移而流行,但它对公民的学习产生了影响。原创性/价值这是西班牙的第一个研究,说明了女权主义为社区提供的非正式教育,面对通过使用营销工具从教育角度衡量Twitter的复杂性。
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来源期刊
On the Horizon
On the Horizon EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
4.50
自引率
6.20%
发文量
20
期刊介绍: On the Horizon provides an insight into how the changing face of technology is making it possible for educational institutions to form new relationships across geographic and cultural boundaries.
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