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
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.