Project overview
We will explore the use of Socio-Technical Natural Language Processing (NLP) for classifying behavioural online harms within online forum posts (e.g. bullying; drugs & alcohol abuse; gendered harassment; self-harm), especially for young people. Our socio-technical AI will explore both zero-shot and graph-based NLP algorithms for behaviour classification, using a cyclic socio-technical methodology. This approach will facilitate incremental use of human feedback for iterative learning and re-ranking, overcoming the limited training data issue and keeping a 'human in the loop'. We follow an inclusive multi-disciplinary research approach, integrating stakeholders into our experiments from the start.
Staff
Lead researcher
Collaborating research institutes, centres and groups
Agents, Interactions and Complexity
We research the science and engineering of complex areas. We focus on areas including human-machine teams and human-in-the-loop interaction.
Research outputs
Elena Nichele,
Anita Lavorgna,
& Stuart E. Middleton
, 2022
, SN Social Sciences
Type: article
Tayyaba Azim,
, 2022
Type: conference
Emmanuel Letouzé,
Ali Hossaini,
& Age Chapman
, 2022
, Communications of the ACM
, 65 (4) , 64–68
DOI: 10.1145/3511597
Type: article