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dc.contributor.advisorSinan Aral.en_US
dc.contributor.authorZhao, Michael (Michael F.)en_US
dc.contributor.otherSloan School of Management.en_US
dc.date.accessioned2019-02-05T15:57:21Z
dc.date.available2019-02-05T15:57:21Z
dc.date.copyright2018en_US
dc.date.issued2018en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/120201
dc.descriptionThesis: S.M. in Management Research, Massachusetts Institute of Technology, Sloan School of Management, 2018.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 59-62).en_US
dc.description.abstractThe 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.en_US
dc.description.statementofresponsibilityby Michael Zhao.en_US
dc.format.extent62 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT 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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectSloan School of Management.en_US
dc.titleSocial media sharing and online news consumptionen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Management Researchen_US
dc.contributor.departmentSloan School of Management
dc.identifier.oclc1082522948en_US


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