Date: 10 Sep 2021

Communication Data and Network Analytics Symposium

With the Internet becoming the universal source of information for millions of people, the public have gradually shifted their interactions and the focus of life to Internet platforms. Social science studies are merging traditional approaches into these new media and platforms, creating novel research issues and study methods. The rise of AI further is creating tremendous demand for related techniques, forcing an interaction between social network analysis and artificial intelligence, including text mining and machine learning. It has become a trend to investigate critical social issues by triangulating computational social scientific approaches and traditional social scientific methods.

This symposium will invite internationally renowned scholars, all with expertise in communications and leading roles in their specific fields, to share their professional experience and provide feedback. These experts will highlight the leading-edge research into important issues in different countries or common concerns worldwide, integrating communication with computational opinion-mining approaches. You are welcome to join us! We are looking forward to meeting you at the CDNA Symposium.

Topics

  • Data Mining for Social Science

  • Computational Approach to Social Media Research

  • Agenda Setting and Argument Mining

Speaker

Dr. King-Wa Fu

Journalism and Media Studies Centre, The University of Hong Kong

Dr. Jonathan Zhu

Centre for Communication Research and Web Mining Lab, City University of Hong Kong

Dr. Wouter van Atteveldt

Department of Communication Science, Vrije Universiteit Amsterdam

Dr. Chih-Hui Lai

Communication Data and Network Analytics Lab, Academia Sinica

Dr. Yu-Ming Hsieh

Communication Data and Network Analytics Lab, Academia Sinica

Schedule

14:00-14:25 (UTC+8) / 08:00-08:25(CEST)
Arrival and welcoming

14:25-14:30 (UTC+8) / 08:25-08:30 (CEST)
Opening remarks

14:30-15:10 (UTC+8) / 08:30-09:10 (CEST)
Data Mining for Social Science: Opportunities and Pitfalls
Dr. King Wa Fu, Journalism and Media Studies Centre, The University of Hong Kong

15:20-16:00 (UTC+8) / 09:20-10:00 (CEST)
Computational Approach to Social Media Research
Dr. Jonathan Zhu, Centre for Communication Research and Web Mining Lab, City University of Hong Kong

16:10-16:50 (UTC+8) / 10:10-10:50 (CEST)
- Triangulation of Survey and Computational Approach to Strategic Communication Research
- Exploration of Argument Mining to Analyze Communication Data

Dr. Chih-Hui Lai / Dr. Yu-Ming Hsieh, Communication Data and Network Analytics Lab, Academia Sinica

17:00-17:40 (UTC+8) / 11:00-11:40 (CEST)
Social Media Data donation for studying political communication
Dr. Wouter van Atteveldt, Department of Communication Science, Vrije Universiteit Amsterdam

The Communication Data and Network Analytics lab (CDNA) is a cross-disciplinary team composed of social scientists and information engineering researchers.



Organizer