脸书图片和文字中的种族和种族:主题分析
Shaniece Criss1, Sarah M Gonzales1, Heran Mane2
1Department of Health Sciences, Furman University, Greenville, SC, United States.
JMIR formative research
|September 4, 2025
概括
社交媒体的帖子讨论种族和种族, 关于政治,文化自豪感和种族主义的主题因群体而异. 分析Facebook上的多模式内容有助于了解在线种族话语及其影响.
科学领域:
- 数字通信和社交媒体研究
- 种族和民族研究
- 种族社会学
背景情况:
- 像Facebook这样的社交媒体平台是讨论身份,政治和社会问题的公共场所.
- 这些平台使少数群体能够挑战种族沉默和表达文化骄傲.
- 然而, 它们也使使用者面临种族主义和刻板印象,
研究的目的:
- 通过多模式内容分析, 调查Facebook上如何讨论种族和种族问题.
- 在Facebook帖子中研究文化自豪感,团结,种族主义,反种族主义和政治等主题.
- 了解数字空间中的身份构建和社会政治话语导航.
主要方法:
- 在2019年至2023年期间,对500个多式联网Facebook帖子 (图像和文字) 的定性内容分析.
- 使用CrowdTangle进行随机抽样,其中包含种族/民族关键字的帖子.
- 混合感应-演方法与代码书开发,双编码和主题分析.
主要成果:
- 几乎三分之一的职位缺乏明显的种族特征; 19.8%与种族无关.
- 西班牙裔,多种族和移民群体最常被提及.
- 主要主题包括美国政治,文化自豪感,种族主义/刻板印象和反种族主义,政治内容是最跨界的.
结论:
- 解释基于图像的帖子是复杂的,
- 了解Facebook上的这一过程可以帮助减轻网络种族主义的负面影响.
- 调查结果突显了社交媒体上与种族相关的言论的细微和不断变化的性质.
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