Wed, Dec 06, 2023 @ 12:00 PM - 01:30 PM
Thomas Lord Department of Computer Science
PhD Thesis Proposal - Nathan Bartley Committee Members:
Kristina Lerman (chair)
Title: Content Exposure Bias and Online Social Networks
Abstract: Online social platforms employ personalized feed algorithms to gather and collate messages from accounts users follow. However, the network structure and activity of the followed users distorts content’s perceived popularity prior to personalization. We call this “exposure bias:” our research focuses on quantifying it using diverse metrics, and we evaluate different algorithms that underpin personalized feeds with these metrics. We use empirical X/Twitter data and simulations in a network to assess the influence different feeds have on exposure bias. Furthermore we are working on agent-based model simulations to comprehend the impact of changing feeds, with the ultimate goal of making interventions.
Audiences: Everyone Is Invited
Contact: CS Events