Learning or herding? Understanding social interactions and the distribution of success on a social music sharing platform

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Abstract/Contents

Abstract
Digital sharing platforms like YouTube and SoundCloud crowdsource the process by which users can discover high quality new products among an increasingly vast flow of new products, acting as on-going digital test markets. Social features on these platforms can accelerate the discovery process by encouraging sharing of information and facilitating learning, thereby reducing the number of people sampling poor quality products. This may more quickly concentrate platform traffic on higher quality alternatives. Social features may also include a feedback loop if people care about consuming the same products as their peers. Given previous research showing that social feedback loops can distort or even invert the relationship between product quality and product popularity, if such feedback loops exist, the discovery and filtering capabilities of crowdsourcing may be compromised, emphasizing the need to understand the nature of social interactions on such platforms. Utilizing data from SoundCloud, a music sharing and streaming site, I develop an approach to separately identify and measure these two separate endogenous social effects with and without feedback loops. Results suggest that the platform's social features do have informative effects but that the feedback loop plays a dominant role for the most successful songs.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2019; ©2019
Publication date 2019; 2019
Issuance monographic
Language English

Creators/Contributors

Author Sams, James Andrew
Degree supervisor Hartmann, Wesley R. (Wesley Robert), 1973-
Degree supervisor Nair, Harikesh S. (Harikesh Sasikumar), 1976-
Thesis advisor Hartmann, Wesley R. (Wesley Robert), 1973-
Thesis advisor Nair, Harikesh S. (Harikesh Sasikumar), 1976-
Thesis advisor Bronnenberg, Bart J
Thesis advisor Reiss, Peter C. (Peter Clemens)
Degree committee member Bronnenberg, Bart J
Degree committee member Reiss, Peter C. (Peter Clemens)
Associated with Stanford University, Graduate School of Business.

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility James Sams.
Note Submitted to the Graduate School of Business.
Thesis Thesis Ph.D. Stanford University 2019.
Location electronic resource

Access conditions

Copyright
© 2019 by James Andrew Sams
License
This work is licensed under a Creative Commons Attribution Non Commercial No Derivatives 3.0 Unported license (CC BY-NC-ND).

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