This project has been put to rest.
http://web.archive.org/web/20210417113506/https://www.turing.ac.uk/research/research-projects/detecting-and-understanding-harmful-content-online
Detecting and understanding harmful content online
Developing benchmarks and datasets for online harms researchers, and guidance for practitioners using tools to detect online harms
UK
This project aims to systematise research in online harms (e.g. research on hate speech). It will do this by developing lists of datasets and benchmarks to compare different attempts to solve the problem (e.g. benchmarks to compare different hate speech classifiers), and developing guidelines for practitioners who wish to use the outputs of online harms research (e.g. government or policy experts who want to develop a quantitative understanding of hate speech in a certain context).
Resources

- Project type
- Project
- Language(s)
- English
- Tech stack
- BuiltWith report →
- Categories
- Artificial Intelligence (AI), Emerging tech, Emerging Tech Report Tools, Machine learning, The Tech
- Tags
- harassment
- Added
- 2021-06-22
- Last modified
- 2026-03-23T11:00:53.000Z
Additional details
- Number of integrations
- 0
- Issues addressed
- harassment