-------- Forwarded Message --------
Subject: [AISWorld] CFP Workshop: Social Bots Analysis With Mixed Methods
Date: Wed, 16 Jan 2019 18:30:06 +0000
From: KARAMI, AMIR <KARAMI(a)mailbox.sc.edu>
To: air-l-bounces(a)listserv.aoir.org <air-l-bounces(a)listserv.aoir.org>,
asis-l(a)asis.org <asis-l(a)asis.org>, sigdl-l(a)asis.org <sigdl-l(a)asis.org>,
aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>,
LISTSERV(a)LISTS.WAYNE.EDU <LISTSERV(a)LISTS.WAYNE.EDU>,
CHI-ANNOUNCEMENTS(a)LISTSERV.ACM.ORG <CHI-ANNOUNCEMENTS(a)LISTSERV.ACM.ORG>,
CHI-ANNOUNCEMENTS(a)LISTSERV.ACM.ORG <CHI-ANNOUNCEMENTS(a)LISTSERV.ACM.ORG>,
dbworld(a)cs.wisc.edu <dbworld(a)cs.wisc.edu>
<Apologies for Cross-Posting>
~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(a)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(a)sc.edu<mailto:karami@sc.edu>
Vanessa Kitzie, iSchool, University of South Carolina,
kitzie(a)mailbox.sc.edu<mailto:kitzie@mailbox.sc.edu>
Ehsan Mohammadi, iSchool, University of South Carolina,
ehsan2(a)mailbox.sc.edu<mailto:ehsan2@mailbox.sc.edu>
</Apologies for Cross-Posting>
_______________________________________________
AISWorld mailing list
AISWorld(a)lists.aisnet.org