172 citations · 610 across the 14 of their papers we have counts for
5 papers · 1 filter
How You Ask Shapes What You Get: Auditing Breast-Cancer Misinformation in TikTok Search
Pooriya Jamie, Homa Hosseinmardi, Rezvaneh Rezapour +3
Millions of people use TikTok to seek health information, yet little is known about how users' search queries shape exposure to health misinformation. Whereas prior algorithm audit…
Seeking Help, Facing Harm: Auditing TikTok's Mental Health Recommendations
Pooriya Jamie, Amir Ghasemian, Homa Hosseinmardi
Recommender systems on social media increasingly mediate how users encounter mental health content, yet it remains unclear whether they distinguish help-seeking from distress expre…
Causally estimating the effect of YouTube's recommender system using counterfactual bots
Homa Hosseinmardi, Amir Ghasemian, Miguel Rivera-Lanas +3
In recent years, critics of online platforms have raised concerns about the ability of recommendation algorithms to amplify problematic content, with potentially radicalizing conse…
The Enmity Paradox
Amir Ghasemian, Nicholas A. Christakis
The "friendship paradox" of social networks states that, on average, "your friends have more friends than you do." Here, we theoretically and empirically explore a related and over…
Examining the consumption of radical content on YouTube
Homa Hosseinmardi, Amir Ghasemian, Aaron Clauset +3
Although it is under-studied relative to other social media platforms, YouTube is arguably the largest and most engaging online media consumption platform in the world. Recently, Y…