<?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>2026-09-19T23:32:42Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/106116" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/106116</identifier><datestamp>2026-06-06T00:49:03Z</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">Ethan Zuckerman.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Kashyap, Anurag, M. Eng. Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2016-12-22T16:29:39Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2016-12-22T16:29:39Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2015</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2016</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/106116</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">965797730</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February 2016.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">"September 2015." Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 106-109).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">People's perception of various nations, nation brands, are quantified via world news quizzes, in which study participants match geographically vague news stories to the nations they think they occurred in, thereby potentially revealing how they positively or negatively perceive said nations. The quizzes are generated and deployed by a Flask web application, designed to be an aesthetically pleasing, enriching experience as well as to feature elements of gamification to encourage sharing of the application, enabling the study's organic growth. 2,672 submitted quizzes are analyzed and the resulting quantified nation brands are compared with an established quantitative nation brand analysis, revealing ways that this novel methodology can be improved and extended to more accurately capture nation brands at a statistically significant level. Continued efforts on this project could provide instrumental data needed for business, economic, and political leaders to improve their nations' international reputations, thereby potentially spurring substantial economic growth.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Anurag Kashyap.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">147 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">M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.</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">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">On quantifying global nation brands</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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   	&lt;Title>On quantifying global nation brands&lt;/Title>
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   	&lt;PublicationDate>2016&lt;/PublicationDate>
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        	&lt;DisplayName>Kashyap, Anurag, M. Eng. Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword&gt;
   	&lt;Abstract>People&amp;apos;s perception of various nations, nation brands, are quantified via world news quizzes, in which study participants match geographically vague news stories to the nations they think they occurred in, thereby potentially revealing how they positively or negatively perceive said nations. The quizzes are generated and deployed by a Flask web application, designed to be an aesthetically pleasing, enriching experience as well as to feature elements of gamification to encourage sharing of the application, enabling the study&amp;apos;s organic growth. 2,672 submitted quizzes are analyzed and the resulting quantified nation brands are compared with an established quantitative nation brand analysis, revealing ways that this novel methodology can be improved and extended to more accurately capture nation brands at a statistically significant level. Continued efforts on this project could provide instrumental data needed for business, economic, and political leaders to improve their nations&amp;apos; international reputations, thereby potentially spurring substantial economic growth.&lt;/Abstract>
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