2026-09-19T03:57:19Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1202012022-01-13T07:54:52Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Sinan Aral.
Zhao, Michael (Michael F.)
Sloan School of Management.
Sloan School of Management
2019-02-05T15:57:21Z
2019-02-05T15:57:21Z
2018
2018
http://hdl.handle.net/1721.1/120201
1082522948
Thesis: S.M. in Management Research, Massachusetts Institute of Technology, Sloan School of Management, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 59-62).
The ever increasing ubiquity of social media platforms has led to the emergence of an incredibly important positive feedback loop between social media sharing and online content consumption. The potential of this feedback loop is critical to marketers, publishers, politicians, and beyond. However, identifying causal effects in this context is very difficult. The data requirements are quite demanding, calling for data from both social media platforms and content producers. In addition, feedback loops inherently suffer simultaneous equation bias. Using regional rainfall as a natural experiment, we use a novel panel-IV strategy to identify positive and significant cross-region "peer effects" in online news viewership: a 1% increase in within-region viewership causes external viewership to increase by approximately 0.06%. Moreover, evidence suggests that social network sharing is a primary driver of these peer effects. We find that the peer effect is stronger on viewership referred from social network sources compared to viewership referred from search engines. Beyond this, we find that social network connectivity moderates the strength of this peer effect: "strongly-connected" regions exhibit more positive and significant peer effects relative to more "weakly-connected" ones. Our provides a first step in understanding how social media platforms generate value for online content producers.
by Michael Zhao.
S.M. in Management Research
62 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Sloan School of Management.
Social media sharing and online news consumption
Thesis
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<Abstract>The ever increasing ubiquity of social media platforms has led to the emergence of an incredibly important positive feedback loop between social media sharing and online content consumption. The potential of this feedback loop is critical to marketers, publishers, politicians, and beyond. However, identifying causal effects in this context is very difficult. The data requirements are quite demanding, calling for data from both social media platforms and content producers. In addition, feedback loops inherently suffer simultaneous equation bias. Using regional rainfall as a natural experiment, we use a novel panel-IV strategy to identify positive and significant cross-region "peer effects" in online news viewership: a 1% increase in within-region viewership causes external viewership to increase by approximately 0.06%. Moreover, evidence suggests that social network sharing is a primary driver of these peer effects. We find that the peer effect is stronger on viewership referred from social network sources compared to viewership referred from search engines. Beyond this, we find that social network connectivity moderates the strength of this peer effect: "strongly-connected" regions exhibit more positive and significant peer effects relative to more "weakly-connected" ones. Our provides a first step in understanding how social media platforms generate value for online content producers.</Abstract>
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