New Approaches to Measuring Social Trust

Thursday, 10 July 2025: 15:00-16:45
Location: FSE007 (Faculty of Education Sciences (FSE))
RC55 Social Indicators (host committee)

Language: English

In this session, we will focus on measuring people’s assessment of the extent of trust in their society, which is a widely studied aspect of a society's relational well-being known as social capital. We encourage submissions of papers that introduce or demonstrate new methodological approaches for measuring various kinds of trust within a society. The rapid advancement of computational social science approaches has significantly transformed the available research designs and analytical tools for measuring social indicators. While various kinds of trust are typically assessed using attitudinal and vignette items, an exciting development in technology now allows us to measure trust in natural language settings such as social media and news reports. The rapid advancement of large language models (LLM) in multiple languages has made these new approaches more effective in overcoming social desirability bias, cost-efficient, and more powerful than ever before. Therefore, we most welcome papers that take advantage of these new opportunities.
Session Organizers:
Tony TAM, Chinese University of Hong Kong, Hong Kong and Jacqueline CHEN CHEN, Zhejiang University of Technology, China
Chair:
Hania Fei WU, Fudan University, China
Co-Chair:
Ling ZHU, Assistant Professor, Hong Kong
Discussants:
Felicia TIAN, Fudan University, China and Anning HU, Fudan University, China
Oral Presentations
The Dimensional Structure of Interpersonal Trust: Basic Dimensions and Implications
Xuanlong QIN, The Chinese University of Hong Kong, Hong Kong
Assessing Two Dimensions of Institutional Trust Building in China
Jacqueline CHEN CHEN, Zhejiang University of Technology, China; Tony TAM, Chinese University of Hong Kong, Hong Kong
Measuring Intergroup Trust with Social Media Data: A Case Study of How Americans Evaluate Chinese before and during the COVID-19 Pandemic
Xuanlong QIN, The Chinese University of Hong Kong, Hong Kong; Tony HW TAM, CUHK, Hong Kong
See more of: RC55 Social Indicators
See more of: Research Committees