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Call for Proposals: Social Bots Analysis With Mixed Methods

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.

 

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

Vanessa Kitzie, iSchool, University of South Carolina, kitzie@mailbox.sc.edu

Ehsan Mohammadi, iSchool, University of South Carolina, ehsan2@mailbox.sc.edu

 

Call for Submissions