UMSI researchers to present at 2019 Web Conference
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.
- “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
- “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
*Names of University of Michigan researchers are hyperlinked.