Algorithmic Communities and Social Perception
How people encounter, recognize, and understand their relationship to communities made visible through algorithmically curated feeds.
I study how algorithmically curated platforms shape online communities, identity, visibility, and influence. I am especially interested in how people perceive and position themselves relative to communities they encounter through a feed—even without formally joining a group or forming explicit social ties.
How people encounter, recognize, and understand their relationship to communities made visible through algorithmically curated feeds.
How users interpret metrics, rankings, interface cues, and incomplete evidence about popularity, credibility, reach, and influence.
How platform structures shape misinformation, credibility, political communities, and bounded or hardened publics.