Homa Hosseinmardi

Studies how recommendation algorithms shape exposure to content such as radical YouTube videos, using large-scale behavioral data, counterfactual bots, and causal inference.研究推荐算法如何影响用户对YouTube激进内容等信息的接触，采用大规模行为数据、反事实机器人与因果推断方法。