What are people saying on social networking sites about the Australian alcohol consumption guidelines?

Riordan, Benjamin C.; Winter, Daniel T; Haber, Paul S.; Day, Carolyn; Morley, Kirsten C.

doi:10.5694/mja2.50902

Medical Journal of Australia

2021

DOI: 10.5694/mja2.50902

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What are people saying on social networking sites about the Australian alcohol consumption guidelines?

Benjamin C. Riordan

Daniel T Winter

Paul S. Haber

et al.

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Cited by 2 publications

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“…misunderstanding how many drinks they can consume daily) or targeting unsubstantiated health claims (e.g. overstating the benefits of medicinal cannabis) [15,17].…”

mentioning

confidence: 99%

How to apply zero‐shot learning to text data in substance use research: An overview and tutorial with media data

Riordan,

Bonela,

et al. 2024

Addiction

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A vast amount of media‐related text data is generated daily in the form of social media posts, news stories or academic articles. These text data provide opportunities for researchers to analyse and understand how substance‐related issues are being discussed. The main methods to analyse large text data (content analyses or specifically trained deep‐learning models) require substantial manual annotation and resources. A machine‐learning approach called ‘zero‐shot learning’ may be quicker, more flexible and require fewer resources. Zero‐shot learning uses models trained on large, unlabelled (or weakly labelled) data sets to classify previously unseen data into categories on which the model has not been specifically trained. This means that a pre‐existing zero‐shot learning model can be used to analyse media‐related text data without the need for task‐specific annotation or model training. This approach may be particularly important for analysing data that is time critical. This article describes the relatively new concept of zero‐shot learning and how it can be applied to text data in substance use research, including a brief practical tutorial.

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“…misunderstanding how many drinks they can consume daily) or targeting unsubstantiated health claims (e.g. overstating the benefits of medicinal cannabis) [15,17].…”

mentioning

confidence: 99%

How to apply zero‐shot learning to text data in substance use research: An overview and tutorial with media data

Riordan,

Bonela,

et al. 2024

Addiction

Self Cite

View full text Add to dashboard Cite

show abstract

Alcohol guideline awareness and beliefs among Australian nurses: A mixed-methods study

2023

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What are people saying on social networking sites about the Australian alcohol consumption guidelines?

Cited by 2 publications

References 5 publications

How to apply zero‐shot learning to text data in substance use research: An overview and tutorial with media data

How to apply zero‐shot learning to text data in substance use research: An overview and tutorial with media data

Alcohol guideline awareness and beliefs among Australian nurses: A mixed-methods study

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