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Using Twitter for research in psychiatry

Published online by Cambridge University Press:  19 July 2023

M. Pinto da Costa
M. Pinto da Costa*
Affiliation:
1Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom 2Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal

Abstract

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Abstract

Social media offers a unique opportunity to examine behaviors based on real-time objective data. For example, all public tweets that include the selected keywords can be collated. These offer vast opportunities to research attitudes towards mental health and mental illness in the general population, based on the tweets content. The tweet text, the date, the geolocation and international timestamp of when they were published, and the number of retweets and likes generated are informative data that can be extracted. Content analysis can be conducted using manual or machine learning approaches. Different examples of the use of Twitter for research in psychiatry will be presented and discussed in this session.

Disclosure of Interest

None Declared

Type
Abstract
Information
European Psychiatry , Volume 66 , Special Issue S1: Abstracts of the 31st European Congress of Psychiatry , March 2023 , pp. S51 - S52
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the European Psychiatric Association
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