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<td>[FACULTY] PhD Proposal - Byungkyu Kang - 1/26/15</td>
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<th nowrap="nowrap" valign="BASELINE" align="RIGHT">Date: </th>
<td>Tue, 20 Jan 2015 15:37:53 -0800</td>
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<th nowrap="nowrap" valign="BASELINE" align="RIGHT">From: </th>
<td>Jillian Title <a class="moz-txt-link-rfc2396E" href="mailto:jillian.title@cs.ucsb.edu"><jillian.title@cs.ucsb.edu></a></td>
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<th nowrap="nowrap" valign="BASELINE" align="RIGHT">To: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:grads@cs.ucsb.edu">grads@cs.ucsb.edu</a>, <a class="moz-txt-link-abbreviated" href="mailto:faculty@cs.ucsb.edu">faculty@cs.ucsb.edu</a>,
<a class="moz-txt-link-abbreviated" href="mailto:research@lists.cs.ucsb.edu">research@lists.cs.ucsb.edu</a>, <a class="moz-txt-link-abbreviated" href="mailto:lecturers@cs.ucsb.edu">lecturers@cs.ucsb.edu</a></td>
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PhD Proposal<br>
<b>Byungkyu Kang</b><br>
Monday, January 26th at 9:00am<br>
HFH 1132<br>
<br>
<b>Committee: </b>Tobias Höllerer (Chair), Xifeng Yan, Matthew
Turk, John OâDonovan <br>
<br>
<b>Title:</b> Information Reliability on the Social Web -- Models
and Applications in Intelligent User Interfaces<br>
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<b>Abstract: </b><br>
<br>
The Social Web is undergoing continued evolution, changing the
paradigm of information production, processing, and sharing.Â
Information sources have shifted from institutions to individual
users, vastly increasing the amount of information available
online. Accordingly, the problem of information overload has
become increasingly serious. To overcome this problem, modern
filtering algorithms have enabled people to find relevant
information in efficient ways, however, noisy, false and otherwise
useless information remains a problem. We believe that the
concept of information reliability needs to be considered along
with information relevance to adapt filtering algorithms to
today's Social Web.  This approach helps to improve algorithm
efficiency and user experience through communication and
explanation. <br>
<br>
In this talk, I will first propose a definition of information
reliability and describe how it can be used to improve current
information filtering techniques. Second, I will discuss
interdisciplinary research into perceived reliability by reporting
on a novel user experiment. Third, I will discuss modeling,
communicating, and validating information reliability. I will
focus on a selection of important reliability attributes such as
source credibility, competence and timeliness through three case
studies and talk about lessons learned. Results show that
perceived reliability of information can vary greatly across
contexts. Finally, I will outline a research agenda on visual
analytics, including algorithm explanations, supported by
information reliability models and interactive interfaces.<br>
<br>
Everyone welcome!<br>
<br>
<pre class="moz-signature" cols="72">--
Jillian Title
Graduate Advisor
Department of Computer Science
University of California Santa Barbara
2104 Harold Frank Hall
Santa Barbara, CA 93106-5110
(805) 893-4322</pre>
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