activity
20172020
most citedAutomatically applying a credibility appraisal tool to track vaccination-related communications shared on social media

64 citations · 136 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2020★ 9 cited

Automatic Speech Summarisation: A Scoping Review

Dana Rezazadegan, Shlomo Berkovsky, Juan C. Quiroz +4

Speech summarisation techniques take human speech as input and then output an abridged version as text or speech. Speech summarisation has applications in many domains from informa…

cs.CL2020★ 4 cited

Empirical Analysis of Zipf's Law, Power Law, and Lognormal Distributions in Medical Discharge Reports

Juan C Quiroz, Liliana Laranjo, Catalin Tufanaru +4

Bayesian modelling and statistical text analysis rely on informed probability priors to encourage good solutions. This paper empirically analyses whether text in medical discharge…

cs.SI2019★ 64 cited

Automatically applying a credibility appraisal tool to track vaccination-related communications shared on social media

Zubair Shah, Didi Surian, Amalie Dyda +3

Background: Tools used to appraise the credibility of health information are time-consuming to apply and require context-specific expertise, limiting their use for quickly identify…

cs.SI2018★ 19 cited

Modeling Spatiotemporal Factors Associated With Sentiment on Twitter: Synthesis and Suggestions for Improving the Identification of Localized Deviations

Zubair Shah, Paige Martin, Enrico Coiera +2

Background: Studies examining how sentiment on social media varies depending on timing and location appear to produce inconsistent results, making it hard to design systems that us…

cs.IR2017★ 18 cited

A shared latent space matrix factorisation method for recommending new trial evidence for systematic review updates

Didi Surian, Adam G. Dunn, Liat Orenstein +3

Clinical trial registries can be used to monitor the production of trial evidence and signal when systematic reviews become out of date. However, this use has been limited to date…

cs.IR2017★ 22 cited

Unreported links between trial registrations and published articles were identified using document similarity measures in a cross-sectional analysis of ClinicalTrials.gov

Adam G. Dunn, Enrico Coiera, Florence Bourgeois

Objectives: Trial registries can be used to measure reporting biases and support systematic reviews but 45% of registrations do not provide a link to the article reporting on the t…