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Research project

ProTecThem2.0

Project overview

ProTechThem2.0 is an ESRC-funded project that integrates insights and expertise from criminology and computer sciences to enable better targeted awareness-raising activities and to improve the tools we currently have to promote ethical social media platform algorithms and prevent or mitigate the negative impacts of sharenting practices. Dr Pamela Ugwudike is leading the project.

Staff

Lead researchers

Professor Pamela Ugwudike LLB (Hons), MA, PhD, FHEA

Professor
Research interests
  • AI Ethics 
  • Algorithms in Justice Systems
  • Trustworthy and Responsible AI
Connect with Pamela

Email: P.Ugwudike@soton.ac.uk

Other researchers

Professor Stuart Middleton

Professor
Research interests
  • Natural Language Processing: Large Language Models
  • Human-in-the-loop LLMs: Rationale-based learning, Active learning, Adversarial defence, Adver…
  • Information Extraction: Text/Behaviour classification, Few/Zero shot learning, Location extra…
Connect with Stuart

Email: sem03@soton.ac.uk

Professor Silke Roth

Professor of Sociology
Research interests
  • activism and volunteering
  • humanitarianism 
  • political participation
Connect with Silke

Email: Silke.Roth@soton.ac.uk

Collaborating research institutes, centres and groups

Research outputs

Adversarial defence without adversarial defence: instance-level principal component removal for robust language models
Yang Wang, Chenghao Xiao, Yizhi Li, Stuart E. Middleton, Noura Al Moubayed & Chenghua Lin, 2025, Transactions of the Association for Computational Linguistics
Type: article
AI for defence: readiness, resilience and mental health
Stuart E. Middleton, Alec Banks, Daniel Leightley, Patrick Hinton, Sarah Ashbridge, Dan Adler, Maria Liakata, Anahid Basiri & Brant Chee, 2024, RUSI Journal, 169, 52 - 62
DOI: 10.1080/03071847.2024.2424780
Type: article
Do prompt positions really matter?
Junyu Mao, Stuart E. Middleton & Mahesan Niranjan, 2024
Type: conference
Rationale-based learning using self-supervised narrative events for text summarisation of interactive digital narratives
Ashwathy T. Revi, Stuart E. Middleton & David E. Millard, 2024
Type: conference
Extraction and summarization of suicidal ideation evidence in social media content using large language models
Gyanendro Loitongbam, Junyu Mao, Rudra Mutalik & Stuart E. Middleton, 2024
Type: conference
ConversationMoC: encoding conversational dynamics using multiplex network for identifying moment of change in mood and mental health classification
Loitongbam Gyanendro Singh, Stuart E. Middleton, Tayyaba Azim, Elena Nichele, Pinyi Lyu & Santiago De Ossorno Garcia, 2024
Type: conference
Sharenting and social media properties: exploring vicarious data harms and socio-technical mitigations
Pamela Ugwudike, Silke Roth, Anita Lavorgna, Stuart E. Middleton, Natalie Djohari, Morena Tartari & Arpan Mandal, 2024, Big Data & Society, 11(1)
DOI: 10.1177/20539517231219243
Type: article