Six papers accepted for ICA 2019
The 69th Annual ICA conference will be held on May 24-28, 2019 in Washington DC, US. Six papers by lab members are selected for presentation on the coming conference, which has an acceptance rate of 39.4% this year. The titles of the papers are listed below:
- Hao, Q., & Peng, T. Q. Two Applications of Statistical Relational Learning: Fake News Detection and Congress Voting Patterns. (Computational Methods Interest Group)
- Wang, X. H., Chen, L., Shi, J. Y., & Peng, T. Q. What makes cancer information viral on social media? (Communication & Technology Division)
- Liang, H., Tang, G., Lee, F.L.F. Normalizing Swearing Online: An Unintended Consequence of a Large-Scale Political Movement in Hong Kong. (Computational Methods Interest Group)
- Chen, H. X. User’s preference for mobile display orientation across media domains. (Media Communication Interest Group)
- Guan, L., Liang, H., & Zhu, J. J. H. Predicting Reposting Latency of News Content in Social Media: A Focus on Issue Attention, Temporal Usage Pattern, and Information Redundancy. (Computational Methods Interest Group)
- Zhou, Y. & Zhu, J. J. H. How online health groups help you lose weight: The role of social influence and support exchange. (Health communication)
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News and Events
- Oct 31, One paper accepted by NetSci-X 2020
- Sep 27, Jonathan Visited to PHBS in Shenzhen
- Sep 25, Lab Members Participated in CCR Panel at SMP 2019
- May 25, Paper on mobile health apps published
- May 07, Lingfei Wu accepts faculty position at University of Pittsburgh
- Apr 17, Special issue on computational social science (CSS) published at Asian Journal of Communication
- Apr 09, Paper on user analytics method goes online
- Feb 28, Kevin Han of ISU visited Web Lab
- Feb 20, Dr. Toriumi of Tokyo visited the Lab
- Jan 19, Six papers accepted for ICA 2019
- Jan 08, One paper accepted by PacificVis 2019
- Jan 05, Retooling Workshop for MACNM Alumni kicked off
- Dec 19, Lu and Yixin each received a grant from S-tech Research Assistance Plan
- Nov 08, Lab alumni won outstanding alumni awards from the department
- Sep 27, Lab members at front stages of CCRA2018
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