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  <title><![CDATA[MS Proposal by  Zachary R. Tidler]]></title>
  <body><![CDATA[<p><strong>Name: Zachary R. Tidler</strong><br />
<strong>Master&rsquo;s Thesis Proposal Meeting</strong><br />
<strong>Date:</strong> Tuesday, August 25, 2020<br />
<strong>Time:</strong> 1:00 PM<br />
<strong>Location:</strong> Virtual,&nbsp;<a href="https://bluejeans.com/440518832">https://bluejeans.com/440518832</a></p>

<p><strong>Advisor:</strong> Richard Catrambone, Ph.D. (Georgia Tech)</p>

<p><strong>Thesis Committee Members:</strong><br />
Richard Catrambone, Ph.D. (Georgia Tech)<br />
Sidni Justus, Ph.D. (Oglethorpe University)<br />
Bruce N. Walker, Ph.D. (Georgia Tech)</p>

<p><strong>Title: Individual Difference in Deepfake Detection: Mindblindness and Political Orientation</strong></p>

<p>Abstract: The proliferation of the capability for producing and distributing deepfake videos threatens the integrity</p>

<p>of systems of justice, democratic processes, and the general ability to critically assess evidence. The</p>

<p>proposed work is intended to reveal individual differences that meaningfully predict one&rsquo;s ability to detect</p>

<p>these forgeries. It is hypothesized that measures of affect detection (frequently implemented as diagnostic</p>

<p>instruments for autism spectrum disorder) and political orientation will correlate with performance on a</p>

<p>deepfake detection task. Participants (N = 165) will complete survey measures, and the deepfake</p>

<p>detection task, in an online environment. If reliable predictors of deepfake detection ability are identified</p>

<p>it may help to inform the design and allocation of tools and trainings intended to defend the most</p>

<p>vulnerable among us from deception by deepfake. A secondary aim of the proposed work is to generate</p>

<p>evidence that the deepfake detection task could be used as a diagnostic instrument for autism spectrum disorder.</p>

<p>&nbsp;</p>
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