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Towards tracking and analysing regional alcohol consumption patterns in the UK through the use of social media

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posted on 2016-09-08, 08:50 authored by Daniel Kershaw, Matthew Rowe, Patrick StaceyPatrick Stacey
Monitoring rates of alcohol consumption across the UK is a timely problem due to ever-increasing drinking levels [36]. This has led to calls from public services (e.g. police and health services) to assess the effect it is having on people and society. Current research methods that are utilised to assess consumption patterns are costly, time consuming, and do not supply sufficiently detailed results. This is because they look at snapshots of individuals' drinking patterns, which rely on generalised usage patterns, and post consumption re- call. In this paper we look into the use of social media such as Twitter (a popular micro blogging site) to monitor the rate of alcohol consumption in regions across the UK by introducing the Social Media Alcohol Index (SMAI). By looking at the variation in term usage, and treating the social network as a spatio-temporal self-reporting sense-network, we aim to discover variation in drinking patterns on both local and national levels within the UK. This study used 31.6 million tweets collected over a 6 week period, and used the Health & Social Care Information Centre (HSCIC) weekly alcohol consumption pattern as a ground truth. High correlations between the ground truth and the computed SMAI (Social Media Alcohol Index) were found on a national and local level, along with the ability to detect variation in consumption on National holidays and celebrations at both local and national levels.


This work is funded by the Digital Economy programme (RCUK Grant EP/G037582/1), which supports the High- Wire Centre for Doctoral Training (http://highwire.lancaster. ac.uk).



  • Business and Economics


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ACM conference on Web science, 2014


KERSHAW, D., ROWE, M. and STACEY, P., 2014. Towards tracking and analysing regional alcohol consumption patterns in the UK through the use of social media. IN: Proceedings of the 2014 ACM conference on Web science, Bloomington, IN, USA — June 23 - 26, 2014, pp. 220-228.


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