BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Progressive Detecting Rumors from Streams of Social Platforms
DTSTART:20170821T100000
DTEND:20170821T120000
DTSTAMP:20260531T120737Z
UID:2116cd7de8b338814ed919da08dcd04a8c36ff64fd0890d0e23b1058
CATEGORIES:Conferences - Seminars
DESCRIPTION:Chi Thang Duong\nEDIC candidacy exam\nExam president: Prof. Bo
 i Faltings\nThesis advisor: Prof. Karl Aberer\nCo-examiner: Prof. Denis Gi
 llet\n\nAbstract\nWith the advance of social media networks\, people are s
 haring contents in an unprecedented scale. This makes social networks such
  as microblogs an ideal place for spreading rumors. Although rumors can ha
 ve severe impact on real-life world\, traditional approaches in rumor dete
 ction tend to identify rumors after the rumors have been spread widely\, w
 hich limit their effectiveness. In this work\, we propose a progressive ap
 proach to detect rumors from streams of social platforms\, which allows us
  to detect rumors early and correctly.\n\nBacground papers\nRumor cascades
 \, by Friggeri A\, et al.\nEnquiring Minds: Early Detection of Rumors in S
 ocial Media from Enquiry Posts\, by Zhao Z.\, et al.\nDetecting rumors fro
 m microblogs with recurrent neural networks\, by Ma\, J.\, et al.\n 
LOCATION:BC 129 https://plan.epfl.ch/?room==BC%20129
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR