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<p>Please note that there will be no Data Science seminar this
Friday. <br>
</p>
<p>The next talk will be on Friday <b>May 20th, 2022</b>, from
12:00-1:00pm at the MRB Seminar Room (1st floor). <br>
</p>
<br>
<div class="moz-forward-container">**** Pizza and refreshments will
be provided ****<br>
<br>
To keep track of the number of attendees, please *register* at:<br>
<p><a class="moz-txt-link-freetext" href="https://www.eventbrite.com/e/data-science-talk-tickets-337527954197">https://www.eventbrite.com/e/data-science-talk-tickets-337527954197</a></p>
<br>
The talk will be given by by <b>Prof. Kevin M. Esterling</b>,
School of Public Policy and Department of Political Science, UCR<br>
<br>
Title: Deplatforming Right-Wing Extremists on Twitter Following
the January 6 Insurrection<br>
<br>
Abstract:<br>
<br>
What happened when Twitter deplatformed 70,000 right-wing
extremists following the January 6 insurrection? Using a panel of
over a half million active Twitter users and a sharp regression
discontinuity design, we test the causal effects of this
intervention on the circulation of misinformation by those
deplatformed, and by users from adjacent groups such as
misinformation supersharers, QAnon traffickers and deplatformed
users’ followers. We show that Twitter's intervention reduced
misinformation on the site substantially by preventing the
deplatformed users from spreading it. We also show that similar,
non-deplatformed users exited the platform in response to the
intervention. The results inform the historical record of the
insurrection, a momentous event in U.S. history, and show the
capacity of social media platforms to control public discourse.<br>
<br>
* Joint work with Stefan D. McCabe, Diogo Ferrari, Jon Green and
David M.J. Lazer.<br>
<br>
<br>
<br>
------------------------------------<br>
Sponsored by the UCR Data Science Center, the purpose of the Data
Science talks is to foster collaborations between "core" Data
Science faculty (from CSE/ECE/Stat Departments) and
faculty/visitors from other sciences that face Data Science
problems in their research. These informal gatherings are open to
interested faculty and graduate students. Each meeting will start
with a talk describing research problems and then a discussion
will follow for questions, open problems, ideas for possible
collaborations etc.<br>
<br>
A full list of previous seminars appears at:<br>
<a class="moz-txt-link-freetext" href="http://datascience.ucr.edu/news">http://datascience.ucr.edu/news</a><br>
<br>
Please forward this email to other colleagues or graduate students
in your lab that may be interested.<br>
<br>
Moreover, if you are interested in giving a Data Science related
talk, please contact me.<br>
<br>
Sincerely,<br>
Vassilis Tsotras<br>
Professor, CSE Department</div>
<div class="moz-forward-container">Director, Data Science Major<br>
<br>
<br>
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