<?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>2026-09-19T11:49:27Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/123787" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/123787</identifier><datestamp>2025-10-27T18:00:45Z</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">Thomas Levinson.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Turner, Madeleine(Madeleine Renee)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Comparative Media Studies.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Graduate Program in Science Writing.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Program in Comparative Media Studies/Writing</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2020-02-10T22:51:46Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2019</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/123787</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1139316981</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M. in Science Writing, Massachusetts Institute of Technology, Department of Comparative Media Studies/Writing, 2019</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis. Page 21 blank.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Gunrock is a chatbot designed in the likeness of an average 29-year-old woman living in Seattle. Fourteen students from the University of California, Davis, spent spring and summer of 2018 designing and testing the bot. At the end of summer, Gunrock placed first in the 2018 Amazon Alexa Prize, a competition that challenges students to build the best "socialbot," a computer program that talks out loud and engages in "fun, high-quality conversations on popular societal topics." Although Gunrock is rudimentary compared to the conversational ability of a real person, she is also cutting-edge and a predecessor of more advanced systems. Gunrock pulls information from many sources, including Reddit and Twitter comments. As chatbots like Gunrock become more prevalent, their designers must make important decision to determine what chatbots say, which in turn has influence on the user.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Madeleine Turner.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Science Writing</dim:field>
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   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">21 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 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.</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">Comparative Media Studies.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Graduate Program in Science Writing.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Future talk : the race to build a bot that gabs like a human</dim:field>
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   	&lt;Title>Future talk : the race to build a bot that gabs like a human&lt;/Title>
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    &lt;Keyword>Comparative Media Studies.&lt;/Keyword>
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   	&lt;Abstract>Gunrock is a chatbot designed in the likeness of an average 29-year-old woman living in Seattle. Fourteen students from the University of California, Davis, spent spring and summer of 2018 designing and testing the bot. At the end of summer, Gunrock placed first in the 2018 Amazon Alexa Prize, a competition that challenges students to build the best &amp;quot;socialbot,&amp;quot; a computer program that talks out loud and engages in &amp;quot;fun, high-quality conversations on popular societal topics.&amp;quot; Although Gunrock is rudimentary compared to the conversational ability of a real person, she is also cutting-edge and a predecessor of more advanced systems. Gunrock pulls information from many sources, including Reddit and Twitter comments. As chatbots like Gunrock become more prevalent, their designers must make important decision to determine what chatbots say, which in turn has influence on the user.&lt;/Abstract>
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