.png){kind=icon}
.png){kind=icon}
Return
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
Abstract
En 中文
The ability to gather millions of data snippets of social media interactions offers a fascinating glimpse of the dynamics of the (digital) public sphere, a wealth of data asking for interpretations. This article pleas researchers not to rely solely on algorithms, but to resort to ethnographic methods to follow the citizens behind the social media users.
Keywords:
stage
sociology
Goffman
ethnography
self
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.9
Papers:
1.4K
Citations:
7.4K