At the annual board meeting on April 21, the Chinese Association of History of Journalism and Communication (CAHJC), which is the national society of the field in China, elected the following two papers published by alumni of the Lab as the Best Papers of 2017: Zhijin Zhong and Shujin Lin (2017, in Chinese). The emotional
The article, entitled “How to measure sessions of mobile phone use: Identification, evaluation, and applications”, has been published on Mobile Media & Communication by Jonathan Zhu, Hexin Chen, Taiquan Peng, Haixing Dai, and Xiaofan Liu. They proposed a variable-length measure called “session” to uncover unmeasured temporal characteristics of mobile phone use. An open source dataset
A chapter “Big Data, Collection of (Social Media, Harvesting)”, coauthored by Hai Liang and Jonathan Zhu of the Lab, has been published in The International Encyclopedia of Communication Research Methods, edited by Jörg Matthes and published by John Wiley & Sons. The chapter summarizes sampling and data collection methods on social media (see Liang_Zhu_2017_Big data).
The article entitled as “Structurally embedded news consumption on mobile news applications” was accepted for publication at Information Processing and Management, an SSCI journal in Information Science and Library Science. This study examines the evolution of diversity of individuals’ news consumption and identifies the factors that underlie such evolution. A decreasing trend in news consumption
A Special Issue of Asian Journal of Communication on Introducing Computational Social Science for Asia-Pacific Communication Research Guest Editors: Prof. Jonathan Zhu, City University of Hong Kong (Email: firstname.lastname@example.org) Dr. Taiquan “Winson” Peng, Michigan State University (Email: email@example.com) Dr. Hai Liang, Chinese University of Hong Kong (Email: firstname.lastname@example.org) Computational social science (CSS), an emerging paradigm