Using Twitter for research in psychiatry
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...
| Published in: | European Psychiatry |
|---|---|
| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2023-03-01
|
| Online Access: | https://www.cambridge.org/core/product/identifier/S0924933823001888/type/journal_article |
| _version_ | 1850418534519144448 |
|---|---|
| author | M. Pinto da Costa |
| author_facet | M. Pinto da Costa |
| author_sort | M. Pinto da Costa |
| collection | DOAJ |
| container_title | European Psychiatry |
| description |
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 |
| format | Article |
| id | doaj-art-e71ceca80dcf42e89b8d78480df4076d |
| institution | Directory of Open Access Journals |
| issn | 0924-9338 1778-3585 |
| language | English |
| publishDate | 2023-03-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| spelling | doaj-art-e71ceca80dcf42e89b8d78480df4076d2025-08-19T22:43:58ZengCambridge University PressEuropean Psychiatry0924-93381778-35852023-03-0166S51S5210.1192/j.eurpsy.2023.188Using Twitter for research in psychiatryM. Pinto da Costa01Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom 2Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal 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 Declaredhttps://www.cambridge.org/core/product/identifier/S0924933823001888/type/journal_article |
| spellingShingle | M. Pinto da Costa Using Twitter for research in psychiatry |
| title | Using Twitter for research in psychiatry |
| title_full | Using Twitter for research in psychiatry |
| title_fullStr | Using Twitter for research in psychiatry |
| title_full_unstemmed | Using Twitter for research in psychiatry |
| title_short | Using Twitter for research in psychiatry |
| title_sort | using twitter for research in psychiatry |
| url | https://www.cambridge.org/core/product/identifier/S0924933823001888/type/journal_article |
| work_keys_str_mv | AT mpintodacosta usingtwitterforresearchinpsychiatry |