Kenneth BENOIT
Ken Benoit is Dean and Professor of Computational Social Science at the School of Social Sciences, Singapore Management University. He was Director of the Data Science Institute at LSE from 2020 to 2024.
Ken’s research focuses on computational, quantitative methods for processing large amounts of textual data, mainly political texts and social media. His research interests span from the analysis of big data, including social media, and methods of text mining. He has published extensively on applications of measurement and the analysis of text as data in political science, including machine learning methods and text coding through crowd-sourcing, an approach that combines statistical scaling with the qualitative power of thousands of human coders working in tandem on small coding tasks. His current work applies large language models to text analytic methods for the social sciences and harnesses the power of deep learning for extracting content and meaning from social texts.
He received his PhD in Government with a specialisation in statistical methodology from Harvard University.
Research interests:
- Text-as-data methods and natural language processing
- Political party competition
- Scaling political party positions
- Large language models
Related Links
See Ken's Google Scholar page.
LinkedIn page: https://www.linkedin.com/in/krbenoit/
GitHub page: https://github.com/kbenoit
Expertise Details
Automated quantitative methods; Political texts and social media; Analysis of big data; Methods of text mining; Comparative party competition; European Parliament; Electoral systems