社会化媒体
人气
互联网隐私
软件演练
背景(考古学)
计算机科学
定性研究
万维网
数据科学
社会学
心理学
社会心理学
社会科学
程序设计语言
软件建设
古生物学
软件
软件系统
生物
作者
Aparajita Bhandari,Sara Bimo
标识
DOI:10.1177/20563051221086241
摘要
The video-sharing social media platform TikTok has experienced a rapid rise in use since its release in 2016. While its popularity is undeniable, at the first glance, it seems to offer features already available on previously existing and well-established platforms such as Instagram, YouTube, and Facebook. To understand processes of self-making on TikTok, we undertake two methods of data collection: a walkthrough of the app and its surrounding environment, and 14 semistructured participant interviews. A qualitative analysis of this data finds three distinct themes emerge: (1) awareness of the algorithm, (2) content without context, and (3) self-creation across platforms. These results show that TikTok departs from existing platforms in the model of self-making it engenders, which we term “the algorithmized self”—a complication of the pre-existing “networked self” framework.
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