UMSI researchers to present at 2019 Web Conference
Wednesday, 05/08/2019
Five School of Information researchers will present full papers and three will present a short paper at the 2019 Web Conference (WWW). The Conference accepted seven total papers by University of Michigan researchers.
The Web Conference, founded to provide a forum for researchers, policy makers, developers and users to discuss the Web and its ramifications, will be held in San Francisco from May 13-17. This year, attendees will celebrate the 30th anniversary of the Web.
Full Papers*
- “Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification” by Zhenpeng Chen Sheng Shen, Ziniu Hu, Xuan Lu,Qiaozhu Mei and Xuanzhe Liu
- “Demographic Inference and Representative Population Estimates from Multilingual Social Media Data” by Zijian Wang, Scott Hale, David Ifeoluwa Adelani, Przemyslaw Grabowicz, Timo Hartman, Fabian Flöck and David Jurgens
- “Are All Successful Communities Alike? Characterizing and Predicting the Success of Online Communities” by Tiago Cunha, David Jurgens, Chenhao Tan and Daniel Romero
- “What happened? The Spread of Fake News Publisher Content During the 2016 Election” by Ceren Budak
Short Paper*
- “Event-Driven Analysis of Crowd Dynamics in the Black Lives Matter Online Social Movement” by Hao Peng, Ceren Budak and Daniel Romero
- “Spatio-Temporal Capsule-based Reinforcement Learning for Mobility-on-Demand Network Coordination” by Suining He and Kang G. Shin
- “The Chain of Implicit Trust: An Analysis of the Web Third-party Resources Loading” by Muhammad Ikram, Rahat Masood, Gareth Tyson, Mohamed Ali Kaafar, Noha Loizon and Roya Ensafi
- UMSI News Service
People featured in this story
Qiaozhu Mei
Associate Dean for Research and Innovation, Professor of Information, School of Information and Professor of Electrical Engineering and Computer Science, College of Engineering
David Jurgens
Associate Professor of Information, School of Information and Associate Professor of Electrical Engineering and Computer Science, College of Engineering
Ceren Budak
Associate Professor of Information, School of Information and Faculty Associate, Center for Political Studies, Institute for Social Research
Daniel Romero
Professor of Information, School of Information, Professor of Electrical Engineering and Computer Science, College of Engineering and Professor of Complex Systems, College of Literature, Science, and the Arts