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dc.contributor.advisorMunther Dahleh, Ali Jadbabaie, Dean Eckles and Adam Berinsky.en_US
dc.contributor.authorRevel, Manon.en_US
dc.contributor.otherMassachusetts Institute of Technology. Institute for Data, Systems, and Society.en_US
dc.contributor.otherTechnology and Policy Program.en_US
dc.date.accessioned2019-09-16T18:17:29Z
dc.date.available2019-09-16T18:17:29Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/122097
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionThesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2019en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 91-93).en_US
dc.description.abstractThe migration of news to the web has given advertisers new opportunities to target readers with ever more personal and engaging ads. This sponsored content, known as native advertising, is placed in news publications often camouflaged as legitimate news. Though native ads bring revenue to the struggling U.S. news industry, their ability to draw loyal readers off-site could hurt publishers in the long run. Herein, I measure the quality and the impact of the ads from Content Recommendation Networks (CRN) on the U.S. news industry, between March 2016 and February 2019. A CRN controls both the third-party ads and the house ads -- recommendations for news articles from the host publisher -- on a news publisher's website. During the 2016 presidential election, I found that 17% of ad headlines were political, and 67% of the stories were clickbait. Over the 2018 midterm elections, 15% of the ads were political, and 73% were clickbait. While third-party ads are more clickbait than house ads, the increase in clickbait between 2016 and 2018 is larger for the house ads. Further, I investigate the effect that a one-time exposure to these ads have on the perceived credibility on news articles. Four publishers were under study: CNN, Fox News, The Atlantic and Sacramento Bee. A one-time exposure to CRN ads was found to have no signicant eect on the credibility of traditional publishers. Yet, the CRN ads impacted the credibility of less well-known publishers: ads increased the credibility of the news on Sacramento Bee, and decreased it on The Atlantic.en_US
dc.description.sponsorship"Funded by the Vannevar Bush Faculty Fellowship from the Department of Defense awarded to Professor Jadbabaie"--Page 7en_US
dc.description.statementofresponsibilityby Manon Revel.en_US
dc.format.extent93 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.subjectInstitute for Data, Systems, and Society.en_US
dc.subjectTechnology and Policy Program.en_US
dc.titleThe effects of native advertisement on the U.S. news industry/en_US
dc.typeThesisen_US
dc.description.degreeS.M. in Technology and Policyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Societyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.contributor.departmentTechnology and Policy Programen_US
dc.identifier.oclc1117774997en_US
dc.description.collectionS.M.inTechnologyandPolicy Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Societyen_US
dspace.imported2019-09-16T18:17:27Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentESDen_US
mit.thesis.departmentIDSSen_US


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