Skip to main content

Research Repository

Advanced Search

All Outputs (9)

Response to the Government’s ‘Data: A New Direction’ Consultation (2021)
Other
Chen, J., Dove, E., Edwards, L., Koene, A., McAuley, D., Piskopani, A., & Urquhart, L. Response to the Government’s ‘Data: A New Direction’ Consultation

This submission aims to address a selection of questions formulated in the government’s ‘Data: A New Direction’ consultation document by presenting findings and views based primarily on research undertaken by us, although we have also drawn on public... Read More about Response to the Government’s ‘Data: A New Direction’ Consultation.

Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study (2021)
Journal Article
Dowthwaite, L., Fischer, J., Perez Vallejos, E., Portillo, V., Nichele, E., Goulden, M., & McAuley, D. (2021). Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study. Journal of Medical Internet Research, 23(9), Article e29085. https://doi.org/10.2196/29085

Background: Digital contact tracing is employed to monitor and manage the spread of Covid-19. However, to be effective the system must be adopted by a substantial proportion of the population. Studies of (mostly hypothetical) contact tracing apps sho... Read More about Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study.

Design and Evaluation of Virtual Human Mediated Tasks for Assessment of Depression and Anxiety (2021)
Conference Proceeding
Egede, J. O., Jaiswal, S., Galvez Trigo, M. J., Price, D., Elliot, N., Nixon, N., …Valstar, M. (2021). Design and Evaluation of Virtual Human Mediated Tasks for Assessment of Depression and Anxiety. In IVA '21: Proceedings of the 21st ACM International Conference on Intelligent Virtual Agents (52-59). https://doi.org/10.1145/3472306.3478361

Virtual human technologies are now being widely explored as therapy tools for mental health disorders including depression and anxiety. These technologies leverage the ability of the virtual agents to engage in naturalistic social interactions with a... Read More about Design and Evaluation of Virtual Human Mediated Tasks for Assessment of Depression and Anxiety.

Public health messaging by political leaders: a corpus linguistic analysis of COVID-19 speeches delivered by Boris Johnson (2021)
Report
McClaughlin, E., Nichele, E., Adolphs, S., Barnard, P., Clos, J., Knight, D., …Lang, A. (2021). Public health messaging by political leaders: a corpus linguistic analysis of COVID-19 speeches delivered by Boris Johnson. Nottingham: UKRI/AHRC

This study analyses the language of speeches about COVID-19 delivered by Boris Johnson, the Prime Minister of the United Kingdom between 3rd March 2020 and 5th April 2021. We use transcribed speeches to construct a digitised body of texts called a... Read More about Public health messaging by political leaders: a corpus linguistic analysis of COVID-19 speeches delivered by Boris Johnson.

Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study (2021)
Working Paper
Dowthwaite, L., Fischer, J., Perez Vallejos, E., Portillo, V., Nichele, E., Goulden, M., & McAuley, D. Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study

Background: Digital contact tracing is employed to monitor and manage the spread of COVID-19. However, to be effective the system must be adopted by a substantial proportion of the population. Studies of mostly hypothetical contact tracing apps show... Read More about Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study.

Text Data Augmentations: Permutation, Antonyms and Negation (2021)
Journal Article
Haralabopoulos, G., Torres, M. T., Anagnostopoulos, I., & McAuley, D. (2021). Text Data Augmentations: Permutation, Antonyms and Negation. Expert Systems with Applications, 177, Article 114769. https://doi.org/10.1016/j.eswa.2021.114769

Text has traditionally been used to train automated classifiers for a multitude of purposes, such as: classification, topic modelling and sentiment analysis. State-of-the-art LSTM classifier require a large number of training examples to avoid biases... Read More about Text Data Augmentations: Permutation, Antonyms and Negation.

The impact of algorithmic decision-making processes on young people’s well-being (2021)
Journal Article
Perez Vallejos, E., Dowthwaite, L., Creswick, H., Portillo, V., Koene, A., Jirotka, M., …McAuley, D. (2021). The impact of algorithmic decision-making processes on young people’s well-being. Health Informatics Journal, 27(1), 1-21. https://doi.org/10.1177/1460458220972750

This study aims to capture the online experiences of young people when interacting with algorithm mediated systems and their impact on their well-being. We draw on qualitative (focus groups) and quantitative (survey) data from a total of 260 young pe... Read More about The impact of algorithmic decision-making processes on young people’s well-being.