BEGIN:VCALENDAR
PRODID: University of Exeter
VERSION:2.0
BEGIN:VTIMEZONE
TZID:Europe/London
X-LIC-LOCATION:Europe/London
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20190417T130000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20190417T130000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
END:STANDARD
END:VTIMEZONE
METHOD:PUBLISH
BEGIN:VEVENT
SUMMARY; CHARSET=UTF-8 :Detecting trolls on Reddit: Introduction to Computational Text Analysis and Supervised Machine Learning in R
UID:exeter_event_9265
URL:http://www.exeter.ac.uk/events/details/?event=9265
DTSTART;VALUE=DATE:20190417T130000
DTEND;VALUE=DATE:20190417T160000
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
ORGANIZER: MAILTO:
ATTACH: http://www.exeter.ac.uk/events/details/?event=9265
DTSTAMP:20190404T080632
LOCATION:Clayden Computational Lab
DESCRIPTION; CHARSET=UTF-8 :Computational propaganda is becoming a non-negligible presence on news forums and social media, and it is crucial to be able to separate between real users and social bots or trolls. Following Twitter, Reddit released a list of accounts suspected of being state-sponsored trolls, users who wrote more than 15.000 posts and comments between 2015 and 2018. How precisely can these posts be detected based on their content and the available metadata and what techniques can be used to achieve maximum accuracy?http://www.exeter.ac.uk/events/details/?event=9265
SEQUENCE:0
PRIORITY:5
CLASS:
STATUS:CONFIRMED
TRANSP:TRANSPARENT
X-MICROSOFT-CDO-IMPORTANCE:1
X-Microsoft-CDO-BUSYSTATUS:FREE
X-MICROSOFT-CDO-INSTTYPE:0
X-Microsoft-CDO-INTENDEDSTATUS:FREE
END:VEVENT
END:VCALENDAR