Skip to main content

Research Repository

Advanced Search

Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online

McClaughlin, Emma; Nichele, Elena; Adolphs, Svenja; Barnard, Pepita; Clos, Jeremie; Knight, Dawn; McAuley, Derek; Aydt, Miriam; Tom, Tino; Lang, Alexandra

Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online Thumbnail


Authors

Elena Nichele

SVENJA ADOLPHS SVENJA.ADOLPHS@NOTTINGHAM.AC.UK
Professor of English Language and Linguistics

Dawn Knight

Derek McAuley

Miriam Aydt

Tino Tom



Contributors

Elena Nichele
Researcher

Dawn Knight
Researcher

Derek McAuley
Researcher

Miriam Aydt
Researcher

Tino Tom
Researcher

Abstract

The Coronavirus Discourses project supports public health partners Public Health Wales, Public Health England, and NHS Education for Scotland in addressing key challenges that the coronavirus pandemic presents in terms of understanding the flow and impact of public health messages in public and private communications.

In this report, we outline a set of guiding principles for privacy- preserving research for researchers and professionals, which applies to a new approach we have developed, mainly relating to the development of PriPA (Privacy Preserving Analytics).

Next, we introduce the PriPA (Privacy Preserving Analytics) Extension. The PriPA extension is a digital tool designed for anyone to use on their personal devices. 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.

Citation

McClaughlin, E., Nichele, E., Adolphs, S., Barnard, P., Clos, J., Knight, D., …Lang, A. (2022). Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online. University of Nottingham: AHRC/UKRI

Report Type Research Report
Publication Date Feb 8, 2022
Deposit Date Feb 8, 2022
Publicly Available Date Feb 14, 2022
Pages 5
DOI https://doi.org/10.17639/ZGKQ-1X23
Keywords coronavirus, privacy preserving analysis, software, PriPA, corpus linguistics, pandemic, discourse
Public URL https://nottingham-repository.worktribe.com/output/7410635
Publisher URL https://c19comms.wp.horizon.ac.uk/

Files








You might also like



Downloadable Citations