Academic outputs – C19Comms

Project 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. University of Nottingham. See: 8911_UoN_COVID_Discourse_Communicating Health Threats_A4_V10.pdf (worktribe.com)

Academic papers:

McClaughlin, E., Vilar-Lluch, S., Parnell, T., Knight, D., Nichele, E., Adolphs, S., Clos, J., & Schiazza, G. (2022). The reception of public health messages during the COVID-19 pandemic. Applied Corpus Linguistics, 100037.
Clos, J., McClaughlin, E., Barnard, P., Nichele, E., Knight, D., McAuley, D., & Adolphs, S. (2022). PriPA: a tool for privacy-preserving analytics of linguistic data. Presented at: Legal and Ethical Issues in Human Language Technologies 2022, Marseille, France, 24 June 2022. Proceedings available online shortly.

Talks/presentations:

McClaughlin, E. Introducing the Coronavirus Discourses Project. Presented at the University of Exeter. Online. 7^th June 2021
McClaughlin, E., Nichele, E., Adolphs, S., Barnard, P., Clos, J., Knight, D., McAuley, D., & Lang, A. Health Inequalities and Black, Asian and Minority Ethnic Populations: Insights from the Coronavirus Discourses Project. Presented at the Public Health Wales Research and Evaluation Conference 2021. Online. 23^rd September 2021.
McClaughlin, E. Update on the Coronavirus Discourses Project. Presented at the Horizon. Online. 14^th December 2021.
Barnard, P., Adolphs, S., Knight, D., McClaughlin, E., Nichele, E., Lang, A., Clos, J., & McAuley, D. Public health messaging for at-risk populations: a UK-based case study. Presented at the American Association for Applied Linguistics Conference. Pittsburgh, USA. 21^st March 2022.
McClaughlin, E., Adolphs, S., Knight, D., Nichele, E., Barnard, P., Clos, J., Lang, A., & McAuley, D. Borders in coronavirus discourses: feedback on UK public health messages from readers of online news. Presented at the American Association for Applied Linguistics Conference. Pittsburgh, USA. 22^nd March 2022.
Clos, J., Adolphs, S., McClaughlin, E., Barnard, P., Nichele, E., Knight, D., & McAuley, D. PriPA: a tool for privacy-preserving analytics of linguistic data. Presented at: Legal and Ethical Issues in Human Language Technologies 2022. Marseille, France. 24^th June 2022. Proceedings available online shortly.
Nichele, E., Adolphs, S., Knight, D., McClaughlin, E., Clos, J., McAuley, D., Barnard, P., & Lang, A. Advances in Privacy-Preserving Analysis of Online Communication Data for Health Message Designers: Coronavirus Discourses in the UK. Presented at the 20^th International and Interdisciplinary Conference on Communication, Medicine and Ethics (COMET 2022). Online from The Hong Kong Polytechnic University, Hong Kong, China. 15^th July 2022.

Workshops:

Knight, D., & McClaughlin, E. Corpus applications in Healthcare Settings. Delivered to Public Health Wales. Online. 1^st December 2021.
McClaughlin, E., & Nichele, E., Corpus Linguistics for Healthcare Communications. Delivered to the Thrive Health Communication Agency. Online. 18^th November 2021.

Reports:

McClaughlin, E., Nichele, E., Adolphs, S., Barnard, P., Clos, J., Knight, D., McAuley, D., & Lang, A. (June 2021). Using online news comments to gather fast feedback on issues with public health messaging: The Guardian as a case study. University of Nottingham.
McClaughlin, E., Nichele, E., Adolphs, S., Barnard, P., Clos, J., Knight, D., McAuley, D., & Lang, A. (July 2021). Public health messaging by political leaders: a corpus linguistic analysis of COVID-19 speeches delivered by Boris Johnson. University of Nottingham.
McClaughlin, E., Nichele, E., Adolphs, S., Barnard, P. Clos, J., Knight, D. McAuley, D., Aydt, M., Tom, T., & Lang, A. (December 2021). Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online. University of Nottingham.
McClaughlin, E., Knight, D., Adolphs, S., Clos, J., Nichele, E., Barnard, P., McAuley, D., & Lang, A., (February 2022). Coronavirus Discourses Online: Participating in Studies on the Reception and Production of Public Health Messaging. University of Nottingham.

Prizes:

Best use of innovative methods prize (Public Health Wales Research & Evaluation Conference 2021)

PIP meetings:

Public Involvement Panel: 1^st C19Comms PIP meeting (8^th June 2021)
Public Involvement Panel: 2^nd C19Comms PIP meeting (29^th June 2021)
Public Involvement Panel: Public Health Messaging (27^th July 2021)
Public Involvement Panel: Communicating Research with the Public (18^th November 2021)
Public Involvement Panel: Privacy-preserving technologies (27^th January 2022)
Public Involvement Panel: Privacy Preserving Corpus Linguistic Analysis for COVID-19 (9^th June 2022)

Tools: PriPA

The PriPA (Privacy Preserving Analytics) Extension is a digital tool designed for anyone to use on their personal computer. It safely retrieves information about individual language use for analysis. The advantage of this browser extension is that users have full control over what information they want to share.

Research carried out on the Coronavirus Discourses project using the PriPA extension will improve understanding of the trajectories of public health messages. Our work will further inform our investigation of the reception and evaluation of public health messaging and related measures which are of key concerns to our project partners Public Health England, Public Health Wales, and NHS Education for Scotland.

In the future, the PriPA extension can be used as the basis for other studies investigating a whole range of topics that would benefit from gathering insights from browsing activities and private communications in a privacy-preserving way.

You can read more about PriPA here.

We are not currently recruiting participants to take part in Coronavirus Discourses studies using PriPA. Please enter your email here to sign up for our mailing list if you would like to be notified of studies as they become available.