<?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>2026-09-20T16:37:15Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/113447" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/113447</identifier><datestamp>2026-06-06T00:49:11Z</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">David R. Karger.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Wang, Jessica Z</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">2018-02-08T15:58:06Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2018-02-08T15:58:06Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2017</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2017</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/113447</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1020176726</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, 2017.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author.  The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student-submitted PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 73-78).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Society is becoming increasingly ideologically divided. People exist in filter bubbles online, where they are exposed to primarily homogeneous perspectives and news sources. However, diversity in news consumption is important: it creates more informed societies, healthier democracies, and more solid understandings of one's own beliefs. In this thesis, we propose Pano - a system for bridging the ideological divide by surfacing moral framing in news. Pano provides a way to educate consumers of online news to think in a moral framework of shared human values, challenging their understandings of views held by those different from them through collaborative highlighting and annotation of moral framing in text. We demonstrate the effectiveness of Pano in a 10-day field study and find positive changes toward improved empathy and ability to re-frame arguments in the moral foundations of the audiences, showing promise toward the ultimate goal of bridging the ideological divide.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Jessica Z. Wang.</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">78 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">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">A system for bridging the ideological divide by establishing a moral framework for news consumption</dim:field>
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   	&lt;Title>A system for bridging the ideological divide by establishing a moral framework for news consumption&lt;/Title>
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   	&lt;PublicationDate>2017&lt;/PublicationDate>
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        	&lt;DisplayName>Wang, Jessica Z&lt;/DisplayName>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>Society is becoming increasingly ideologically divided. People exist in filter bubbles online, where they are exposed to primarily homogeneous perspectives and news sources. However, diversity in news consumption is important: it creates more informed societies, healthier democracies, and more solid understandings of one&amp;apos;s own beliefs. In this thesis, we propose Pano - a system for bridging the ideological divide by surfacing moral framing in news. Pano provides a way to educate consumers of online news to think in a moral framework of shared human values, challenging their understandings of views held by those different from them through collaborative highlighting and annotation of moral framing in text. We demonstrate the effectiveness of Pano in a 10-day field study and find positive changes toward improved empathy and ability to re-frame arguments in the moral foundations of the audiences, showing promise toward the ultimate goal of bridging the ideological divide.&lt;/Abstract>
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