Second Paper on Sequential Modeling of Mobile Phone Use Published at JCMC

May 5, 2020 by · Leave a Comment
Filed under: Publications 

The article, entitled “Mobile phone use as sequential processes: From discrete behaviors to sessions of behaviors and trajectories of sessions” has recently been published at Journal of Computer-Mediated Communication.

Mobile phone use is, by its very nature, an unfolding process. For example, we might start the day by texting, followed by online games and then reviewing the news. This raises the question of how communication scholars can explicate, quantify, and analyze mobile phone use as sequential processes. With a large-scale dataset of mobile app use, the study conducted by Dr. Winson Peng and Dr. Jonathan Zhu examines mobile phone use as two sequential processes: mobile sessions composed of an uninterrupted set of behaviors, and mobile trajectories composed of mobile sessions and mobile-off time. The study offers
fresh and rich insights into the intricate and multiplex behavioral patterns initiated and developed by ordinary users. This study enables the empirical examination of how mobile phone use is embedded in the daily lives of users, which improves our empirical knowledge about mobile temporality substantially. The study demonstrates the potentials of the sequential perspective as a sharpened temporal lens in observing media use and human communication processes.

In 2018, Dr. Zhu and other lab members have
proposed a variable-length measure called “session” to uncover unmeasured temporal characteristics of mobile phone use, which was published at Mobile Media and Communication.

Lu Won an Outstanding Research Papers Award from the College

February 3, 2020 by · Leave a Comment
Filed under: Fund, News 

Lu has received an Outstanding Research Papers Awards Scheme for PhD Students from the College of Liberal Arts and Social Sciences (CLASS). The scheme is to award PhD students for publishing in top quality journals during their studies and will grant HK$5,000 to cover the cost of copy-editing.

Lu was awarded for her publication, entitled “Who is tracking health on mobile devices: A behavioral logfile analysis in Hong Kong”, on JMIR mHealth and uHealth in 2019. In her article, she analyzed users’ mHealth app activities from a representative panel of about 2500 users in Hong Kong. The findings suggest the use of mHealth apps demonstrates a significant temporal pattern and such temporal pattern is moderated by individuals’ demographic characteristics.

Eleven papers accepted for ICA 2020

January 22, 2020 by · Leave a Comment
Filed under: Conference, News 

The 70th Annual ICA conference will be held on May 21-25, 2020 in Gold Coast, Australia. Eleven papers by lab members are selected for presentation on the coming conference, which has an acceptance rate of 44% this year. The titles of the papers are listed below:
1. Liu, X. F., Chen, Z., & Zhu, J. J. H. (2020). Dynamic Trends between Specialization and Integration of Communication Research: Scientometric Analysis of SSCI Journals from 1970 to 2019. (for Computational Methods Interest Group)
2. Zhang, Y., Cao, B. L., Wang, Y. F., Peng, T. Q., Zhu, J. J. H., & Wang, X. H. (2020). Social media and public health research: A systematic review from 2000 to 2018. (for Information System Division)
3. Anderson, J., Lapinski, M., Turner, M., Peng, T. Q., & Schmaelzle, R. (2020). Speaking of values: Value-expressive communication and exercise intentions. (for Health Communication Division)
4. Lee, S., Ma, S. Y., Meng, J., Zhuang, J., & Peng, T. Q. (2020). Detecting sentiment toward emerging diseases on social media: An empirical comparison between human coding and dictionary-based approach. (for Computational Methods Interest Group)
5. Chung, M., Jang, Y., Lapinski, M., Kerr, J., Zhao, J. H., Shupp, R., & Peng, T. Q. (2020). Do we use our own behaviors to help us believe we are normal? Testing the causal effects of personal behavior on perceived descriptive norms. (for Health Communication Division)
6. Yan, X., & Wang, C. J. (2020). With Greater Popularity Comes Less Responsibility? The Popularity Fallacy of Big Vs’ Public Participation on Sina Weibo. (for Political Communication Division)
7. Zhang, L., Liu, Y., Zhou, J., Wu, Y., & Yi, H. (2020). Contributing by Learning: Continuity of Knowledge Contribution on Online Knowledge-Sharing Platform.
8. Zhou, J., Wu, Y., & Zhang, L. (2020). Diminishing marginal returns of information exposure: How does social media information exposure affect individual HPV vaccine adoption?
9. Deng, Y., Zhang, L. & Wu, Y. (2020). Persuasive Effect of Three-Dimensional Creative Expression in Outdoor Print Advertisements.
10. Guan, L., Liang, H., & Zhu, J. J. H. (2020). National Census of Twitter Users: Scrapping and Describing the Socio-Centric Network of a Nation on Social Media. (for Computational Methods Interest Group)
11. Wang, Y., & Guan, L. (2020). Mapping the Structures of International Communication Organizations’ Networks and Cross-Sector Relationships on Social Media. (for Global Communication and Social Change Division)

Jonathan and Xiaofan Spoke at the First Computational Workshop at Tohoku University, Japan

January 21, 2020 by · Leave a Comment
Filed under: News, Visit 

Lab members Jonathan Zhu and Xiaofan Liu, along with Dr. Tetsuro Kobayashi of Department of Media & Communication, were invited to give talks at the First International Workshop on Computational Humanities and Social Science at Tohoku University, Sendai, Japan on 19 January 2020. Tohoku University, one of the seven leading national universities in Japan, has recently established a Division on Computational Humanities and Social Science, the first of its kind in the country, to gear up its cutting-edge research and doctoral student training in the emerging area. Nine speakers, including academic scholars and industry researchers from Japan, Hong Kong, and the Netherlands, presented their latest research on computational social science.

Jonathan introduced some of new methods his group was developing for measuring mobile use sessions and analyzing mobile application sequences. Dr. Kobayashi reported the methods and findings from his collaboration project that used deep learning algorithms to detect politician’s faces from television news. Xiaofan presented the results from his recent scientometric study of communication journal publications. The speeches attracted interests from the audience as they demonstrated the wide range of topics and the advanced level of computational methods in the faculty research at CityU.

After the conference, the CityU visitors held a meeting with Dr. Hiroki Takikawa, Director of Division of Computational Humanities and Social Science at Tohoku University, to discuss further collaborations in research projects, student exchanges, and other areas.

From the left: Dr. Xiaofan Liu, Prof. Jonathan Zhu, Dr. Hiroki Takikawa, and Dr. Tetsuro Kobayashi.

One paper accepted by NetSci-X 2020

October 31, 2019 by · Leave a Comment
Filed under: Conference, News 

The article, entitled “The virality and growth of cascades” has been accepted as an oral presentation at NetSci-X 2020, Tokyo. Two members of the Web Mining Lab, Mr. Yafei Zhang and Prof. Jonathan Zhu, participated in this study.

In this work, they proposed a novel approach to characterize the virality of cascades and introduced a more realistic model to mimic the growth of cascades. This work is an output of collaboration with a team of scientists from control science and engineering at Shanghai Jiao Tong University.

Mr. Yafei Zhang is now a joint PhD student co-supervised by Prof. Jonathan Zhu at City University of Hong Kong and Prof. Xiaofan Wang at Shanghai Jiao Tong University.

NetSci-X, the Network Science Society‘s signature winter conference, aims to foster interdisciplinary communication and collaboration in network science research across computer and information sciences, physics, mathematics, life sciences, social sciences, arts and design. The coming NetSci-X conference will be held in Tokyo, Japan from January 20 to 23, 2020.

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