Measuring Collective Attention in Online Content: Sampling, Engagement, and Network Effects
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]
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|Siqi Wu final thesis 2021.pdf||Thesis Material||6.44 MB||Adobe PDF|
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