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~15% of Twitter users are bots. Social bots are not just present
during elections, but instead are everywhere, in areas like
politics, health, social movements, etc.
If you want a new direction for your research interests, to find
an idea for your PhD dissertation or Master’s thesis, learn more
about related studies and possible opportunities, share your
research, or start a new collaboration, please join us for a
half-day free workshop at the 2019 iConference to be held in
Washington, DC, on Sunday, March 31st, 2019, 1:30-5 pm.
Title: Detecting and Taming Wild Social Bots with Mixed Methods
Attendees will learn how to use open source tools to collect
Twitter data, detect social bots, and use both quantitative and
qualitative methods for investigating the activities of social
bots. Practical examples of bot detection and strategies will be
provided within the context of the Parkland, Florida mass
shooting.
Abstract Submission:
The workshop welcomes submissions up to 500 words for short paper
presentations (15 minutes) of case studies related to social bots.
Please send your abstract of up to 500 words to
karami@sc.edu<mailto:karami@sc.edu>.
Important Dates:
- Abstract submission deadline: Feb 15th, 2019
- Notification of acceptance: Mar 1st, 2019
Agenda:
-Welcome, Overview, Introductory Activity
-Twitter Data Collection with R
-Social Bots Detection and Botometer
-Social Bots Analysis with Mixed Methods using R and NVivo
-Practical Examples
-Case Studies
-Q&A
Organizers:
Amir Karami, iSchool, University of South Carolina,
karami@sc.edu<mailto:karami@sc.edu>
Vanessa Kitzie, iSchool, University of South Carolina,
kitzie@mailbox.sc.edu<mailto:kitzie@mailbox.sc.edu>
Ehsan Mohammadi, iSchool, University of South Carolina,
ehsan2@mailbox.sc.edu<mailto:ehsan2@mailbox.sc.edu>
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