Outputs (14)

LOOM: a Privacy-Preserving Linguistic Observatory of Online Misinformation (2024)
Presentation / Conference Contribution
Clos, J., McClaughlin, E., Barnard, P., Tom, T., & Yajaman, S. (2024, September). LOOM: a Privacy-Preserving Linguistic Observatory of Online Misinformation. Presented at Second International Symposium on Trustworthy Autonomous Systems (TAS ’24), Austin, Texas, USA

Online misinformation is an ever-growing challenge that can have a negative impact on individuals, societies, and democracies. We report on LOOM, a project that aims to build and validate a browser-based tool to detect and respond to misinformation i... Read More about LOOM: a Privacy-Preserving Linguistic Observatory of Online Misinformation.

A Multimethod Analysis of US Perspectives towards Trustworthy Autonomous Systems (2024)
Presentation / Conference Contribution
Barnard, P., Boudouraki, A., & Clos, J. (2024, September). A Multimethod Analysis of US Perspectives towards Trustworthy Autonomous Systems. Presented at Second International Symposium on Trustworthy Autonomous Systems (TAS '24), Austin, Texas

The Trustworthy Autonomous Systems (TAS) Hub is a collabora-tive platform that aims to guide the development of autonomous systems that are safe, reliable, and ultimately trusted by society. Its mission is to address the challenges surrounding the gr... Read More about A Multimethod Analysis of US Perspectives towards Trustworthy Autonomous Systems.

Investigating the Impact of Generative AI on Students and Educators: Evidence and Insights from the Literature (2024)
Presentation / Conference Contribution
Clos, J., & Chen, Y. Y. (2024, September). Investigating the Impact of Generative AI on Students and Educators: Evidence and Insights from the Literature. Presented at Second International Symposium on Trustworthy Autonomous Systems (TAS ’24), Austin, Texas

Generative artificial intelligence (AI) has become one of the main concerns of knowledge workers due to its ability to mimic realistic human reasoning and creativity. However, this integration raises critical concerns about trust and ethics, which ar... Read More about Investigating the Impact of Generative AI on Students and Educators: Evidence and Insights from the Literature.

Examining the Feasibility of AI-Generated Questions in Educational Settings (2024)
Presentation / Conference Contribution
Zeghouani, O., Ali, Z., Simson Van Dijkhuizen, W., Wei Hong, J., & Clos, J. (2024, September). Examining the Feasibility of AI-Generated Questions in Educational Settings. Presented at Second International Symposium on Trustworthy Autonomous Systems (TAS '24), Austin, Texas, USA

Educators face ever-growing time constraints, leading to poor work-life balance and a negative impact on work quality. Through their language generation capabilities, large language models offer an interesting avenue to ease this academic workload, a... Read More about Examining the Feasibility of AI-Generated Questions in Educational Settings.

“The ChatGPT bot is causing panic now – but it’ll soon be as mundane a tool as Excel”: analysing topics, sentiment and emotions relating to ChatGPT on Twitter (2024)
Journal Article
Heaton, D., Clos, J., Nichele, E., & Fischer, J. E. (2024). “The ChatGPT bot is causing panic now – but it’ll soon be as mundane a tool as Excel”: analysing topics, sentiment and emotions relating to ChatGPT on Twitter. Personal and Ubiquitous Computing, 28, 875–894. https://doi.org/10.1007/s00779-024-01811-x

ChatGPT, a sophisticated chatbot system by OpenAI, gained significant attention and adoption in 2022 and 2023. By generating human-like conversations, it attracted over 100 million monthly users; however, there are concerns about the social impact of... Read More about “The ChatGPT bot is causing panic now – but it’ll soon be as mundane a tool as Excel”: analysing topics, sentiment and emotions relating to ChatGPT on Twitter.

Digital twins for human-assistive robot teams in ambient assisted living (2023)
Presentation / Conference Contribution
Chen, J., Clos, J., Price, D., & Caleb-Solly, P. (2023, July). Digital twins for human-assistive robot teams in ambient assisted living. Presented at TAS '23: First International Symposium on Trustworthy Autonomous Systems, Edinburgh, UK

Digital twins are virtual replicas of physical systems that simulate real-world scenarios to optimize system performance, reduce physical losses, and ensure user safety. Although digital twins have been widely adopted in industrial settings, there is... Read More about Digital twins for human-assistive robot teams in ambient assisted living.

A Privacy-Preserving Observatory of Misinformation using Linguistic Markers - A Work in Progress (2023)
Presentation / Conference Contribution
Clos, J., McClaughlin, E., Barnard, P., Tom, T., & Yajaman, S. (2023, July). A Privacy-Preserving Observatory of Misinformation using Linguistic Markers - A Work in Progress. Presented at TAS '23: First International Symposium on Trustworthy Autonomous Systems, Edinburgh, UK

Online misinformation is a serious problem that can have a negative impact on individuals, societies, and democracies. It can lead to the spread of false information, the erosion of trust in institutions, and the polarisation of political discourse.... Read More about A Privacy-Preserving Observatory of Misinformation using Linguistic Markers - A Work in Progress.

Communicating health threats: Linguistic evidence for effective public health messaging during the Covid-19 pandemic (2023)
Report
Adolphs, S., McAuley, D., Vilar-Lluch, S., Knight, D., McClaughlin, E., Nichele, E., Clos, J., Barnard, P., Parnell, T., & Lang, A. (2023). Communicating health threats: Linguistic evidence for effective public health messaging during the Covid-19 pandemic. Nottingham: University of Nottingham

The reception of public health messages during the COVID-19 pandemic (2022)
Journal Article
McClaughlin, E., Vilar-Lluch, S., Parnell, T., Knight, D., Nichele, E., Adolphs, S., Clos, J., & Schiazza, G. (2023). The reception of public health messages during the COVID-19 pandemic. Applied Corpus Linguistics, 3(1), Article 100037. https://doi.org/10.1016/j.acorp.2022.100037

Understanding the reception of public health messages in public-facing communications is of key importance to health agencies in managing crises, pandemics, and other health threats. Established public health communications strategies including self-... Read More about The reception of public health messages during the COVID-19 pandemic.

The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UK (2022)
Journal Article
Dowthwaite, L., Wagner, H. G., Babbage, C. M., Fischer, J. E., Barnard, P., Nichele, E., Perez Vallejos, E., Clos, J., Portillo, V., & McAuley, D. (2022). The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UK. PLoS ONE, 17(10), Article e0276661. https://doi.org/10.1371/journal.pone.0276661

During the COVID-19 pandemic, digital contact-tracing has been employed in many countries to monitor and manage the spread of the disease. However, to be effective such a system must be adopted by a substantial proportion of the population; therefore... Read More about The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UK.