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Measuring Collective Attention in Online Content: Sampling, Engagement, and Network Effects

Wu, Siqi

Description

The production and consumption of online content have been increasing rapidly, whereas human attention is a scarce resource. Understanding how the content captures collective attention has become a challenge of growing importance. In this thesis, we tackle this challenge from three fronts -- quantifying sampling effects of social media data; measuring engagement behaviors towards online content; and estimating network effects induced by the recommender systems. Data sampling is a fundamental...[Show more]

CollectionsOpen Access Theses
Date published: 2021
Type: Thesis (PhD)
URI: http://hdl.handle.net/1885/224512
DOI: 10.25911/EN55-SD26

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