<?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>2026-09-20T13:51:21Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/113491" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/113491</identifier><datestamp>2026-06-16T18:52:15Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131022</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">Adam J. Berinsky.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">De Benedictis-Kessner, Justin</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Political Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Political Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2018-02-08T16:26:15Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2018-02-08T16:26:15Z</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/1721.1/113491</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1020067538</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: Ph. D., Massachusetts Institute of Technology, Department of Political Science, 2017.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages A61-A75).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">How do people hold local governments accountable? My dissertation shows how cognitive and perceptual biases, as well as electoral institutions and strategic communication, can hinder voters' ability to hold government accountable. I gather data on local politics -- a level of government that people interact with on a daily basis, and one that encompasses the vast majority of elected officials and elections in the United States. My evidence comes from large-scale elections and communications data, surveys, and partnerships with governments and service providers. My findings indicate that widespread confusion around government responsibilities and a cognitive bias favoring recent information shape how voters evaluate government for performance, that election timing can prevent voters from effectively holding their incumbent politicians accountable, and that strategic communication by municipal governments can further bias the balance of information that citizens rely on to judge government. Together, these papers demonstrate how three facets of politics can frustrate accountability in cities. This work contributes to theoretical knowledge on political behavior and political institutions, as well as the urban politics literature, and does so using three independent sources of data that provide fertile ground for future extensions of this work.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Justin de Benedictis-Kessner.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">88, A1-A75 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">Political Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Local accountability : the role of attribution, institutions, and communication</dim:field>
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   	&lt;Title>Local accountability : the role of attribution, institutions, and communication&lt;/Title>
   	&lt;Subtitle>Role of attribution, institutions, and communication&lt;/Subtitle>
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   	&lt;PublicationDate>2017&lt;/PublicationDate>
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    &lt;Keyword>Political Science.&lt;/Keyword>
   	&lt;Abstract>How do people hold local governments accountable? My dissertation shows how cognitive and perceptual biases, as well as electoral institutions and strategic communication, can hinder voters&amp;apos; ability to hold government accountable. I gather data on local politics -- a level of government that people interact with on a daily basis, and one that encompasses the vast majority of elected officials and elections in the United States. My evidence comes from large-scale elections and communications data, surveys, and partnerships with governments and service providers. My findings indicate that widespread confusion around government responsibilities and a cognitive bias favoring recent information shape how voters evaluate government for performance, that election timing can prevent voters from effectively holding their incumbent politicians accountable, and that strategic communication by municipal governments can further bias the balance of information that citizens rely on to judge government. Together, these papers demonstrate how three facets of politics can frustrate accountability in cities. This work contributes to theoretical knowledge on political behavior and political institutions, as well as the urban politics literature, and does so using three independent sources of data that provide fertile ground for future extensions of this work.&lt;/Abstract>
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