Chuyao Wang

Chuyao Wang

PhD student

Department of Methodology

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Languages
English, Mandarin
Key Expertise
Computational Social Science; Communication; Governance; Survey; Experiment

About me

Chuyao is a Ph.D. candidate in Social Research Methods, supervised by Professor Patrick Sturgis and Dr Daniel De Kadt. Funded by an LSE Ph.D. Studentship, his research focuses on public opinion, political communication, human-computer interaction, and the application of Large Language Models (LLMs) in the social sciences, applying computational and experimental approaches.

He conducted a digital survey experiment to assess the impact of LLM authorship disclosure on policy advertisements in shaping key social debates. He also investigates how institutional logics influence collaborative dynamics when integrating LLMs into government services, as well as governance strategies for addressing conspiracy theories within algorithmic social networks. Collaborating with scholars in political science, statistics, and computer science, he is exploring how socially aligned prompt engineering of LLMs may promote social good through computational analysis and personalized experimentation. He warmly welcomes potential collaborations and information about research-related jobs.

Additionally, he was selected for advanced training at the 2nd Oxford Large Language Models Workshop for Social Science (Oxford LLMs 2024) and the 4th Summer Institute in Computational Social Science (SICSS 2021). His works have been accepted in the 120th American Political Science Association Annual Meeting (APSA 2024), and 110th National Communication Association Annual Convention (NCA 2024), the 10th International Conference on Computational Social Science (IC2S2 2024), and the 16th Association for Computing Machinery Web Science Conference (ACM WebSci24).

His research has been supported by substantial grants and awards, including LSE Research and Impact Support Fund (Artificial Intelligence Spotlight Call, £4,817), a SICSS Research Grant by USA Social Science Research Council, OpenAI’s Researcher Access Program (credits worth US$ 5,000), Google Cloud Research Credits (US$ 1,000). He was awarded Hong Kong Ph.D. Fellowship (HK$ 1,010,000), and Computational Social Science Ph.D. Fellowship (HK$ 210,000).

He received an MPhil in Social Science (Social Statistics) with Postgraduate Studentship, an MSc in Global China Studies with Dean's Award from HKUST, and obtained a BA in History from Shandong University. His CV can be found here.

Expertise Details

Computational Social Science; Data Science; Machine Learning; Survey Experiment; Human-Computer Interaction