#带回来我们的女孩网络运动的大数据分析

IF 0.1 Q4 SOCIAL SCIENCES, INTERDISCIPLINARY Debats-Revista de Cultura Poder i Societat Pub Date : 2020-12-30 DOI:10.28939/iam.debats-en.2020-15
Maria Teresa García Català
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引用次数: 0

摘要

我们使用了一个网络工具来提取#BringBackOurGirls活动的Twitter API数据。该推特标签被用于谴责圣战组织博科圣地于2014年4月14日在尼日利亚奇博克绑架276名女学生。提取的数据涵盖了从活动创建(2014年5月19日)到2019年5月16日这段时间。这些数据是匿名的,因为它们是以聚合形式提供的,涵盖的内容包括:tweet的数量、内容和时间顺序;地理区域信息;用户评论的相关性;关注者信息;推文的影响;“喜欢”;转发;人口概况(性别);关键字信息。这些迹象是由Twitter的API以大量开放数据的形式提供的。在定性研究的过程中,研究小组对这些数据进行了整理和分析,以阐明网络活动。
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Big Data Analysis of the #BringBackOurGirls Cyber-Campaign
We used a web tool to extract Twitter API data on the #BringBackOurGirls campaign. The Twitter hashtag was used for a campaign denouncing the kidnapping of 276 schoolgirls in Chibok, Nigeria on the 14th of April 2014 by the Jihadist group Boko Haram. The data extracted covered the period spanning from the creation of the campaign (19th of May 2014) to the 16th of May 2019. The data were anonymous because they were provided in aggregate form, covering things such as: the number, content, and chronology of tweets; information on geographical area; the relevance of the users making comments; information on followers; the impact of tweets; ‘likes’; re-tweets; demographic profiles (gender); keyword information. These indications were provided in the form of mass, open data by Twitter’s API. The data was ordered and analysed by the research team during the course of the qualitative study to shed light on the cyber-campaign.
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来源期刊
Debats-Revista de Cultura Poder i Societat
Debats-Revista de Cultura Poder i Societat SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
0.50
自引率
0.00%
发文量
0
审稿时长
16 weeks
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