<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-18T18:39:01Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/130735" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/130735</identifier><datestamp>2024-10-17T17:35:18Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Sinan Aral.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Cao, Yiqun(Scientist in business management)Massachusetts Institute of Technology.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Sloan School of Management.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2021-05-24T19:53:23Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2021-05-24T19:53:23Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2021</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2021</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/130735</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1251804617</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M. in Management Research, Massachusetts Institute of Technology, Sloan School of Management, February, 2021</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from the official PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 41-42).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">There has been a lot of discussions on giving user more control over their private information. Our paper wants to show how practices that give user more control over privacy, could facilitate collection of self-stated interest from voluntary users. This might potentially help firms to better understand users' true interests. The paper investigates the short run and long run impact of adopting the user stated interest into ad targeting, compared with targeting using firm inferred user interest. It also explores the side effects on user's overall app engagement and the possible mechanisms that associate users' action of stating interest with impact on their interest in ads and organic contents. Results show that on average users get more interested in ads immediately after the ad targeting adopts user stated interest categories. In the long run, however, not only does the effect diminish quickly, but there is also a lasting and significantly negative effect on users' overall app engagement, possibly because both organic content and ad targeting use the same user profile.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Yiqun Cao.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Management Research</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="collection" lang="en_US">S.M. in Management Research Massachusetts Institute of Technology, Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">42 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Sloan School of Management.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Comparing user behavior when targeted based on firm inferred interest vs. user stated interest</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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   	&lt;Title>Comparing user behavior when targeted based on firm inferred interest vs. user stated interest&lt;/Title>
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   	&lt;PublicationDate>2021&lt;/PublicationDate>
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        	&lt;DisplayName>Cao, Yiqun(Scientist in business management)Massachusetts Institute of Technology.&lt;/DisplayName>
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    &lt;Keyword>Sloan School of Management.&lt;/Keyword>
   	&lt;Abstract>There has been a lot of discussions on giving user more control over their private information. Our paper wants to show how practices that give user more control over privacy, could facilitate collection of self-stated interest from voluntary users. This might potentially help firms to better understand users&amp;apos; true interests. The paper investigates the short run and long run impact of adopting the user stated interest into ad targeting, compared with targeting using firm inferred user interest. It also explores the side effects on user&amp;apos;s overall app engagement and the possible mechanisms that associate users&amp;apos; action of stating interest with impact on their interest in ads and organic contents. Results show that on average users get more interested in ads immediately after the ad targeting adopts user stated interest categories. In the long run, however, not only does the effect diminish quickly, but there is also a lasting and significantly negative effect on users&amp;apos; overall app engagement, possibly because both organic content and ad targeting use the same user profile.&lt;/Abstract>
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