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Measuring attitudes towards mental health using social media: investigating stigma and trivialisation

BACKGROUND: There are numerous campaigns targeting mental health stigma. However, evaluating how effective these are in changing perceptions is complex. Social media may be used to assess stigma levels and highlight new trends. This study uses a social media platform, Twitter, to investigate stigmat...

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Autores principales: Robinson, Patrick, Turk, Daniel, Jilka, Sagar, Cella, Matteo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6336755/
https://www.ncbi.nlm.nih.gov/pubmed/30069754
http://dx.doi.org/10.1007/s00127-018-1571-5
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author Robinson, Patrick
Turk, Daniel
Jilka, Sagar
Cella, Matteo
author_facet Robinson, Patrick
Turk, Daniel
Jilka, Sagar
Cella, Matteo
author_sort Robinson, Patrick
collection PubMed
description BACKGROUND: There are numerous campaigns targeting mental health stigma. However, evaluating how effective these are in changing perceptions is complex. Social media may be used to assess stigma levels and highlight new trends. This study uses a social media platform, Twitter, to investigate stigmatising and trivialising attitudes across a range of mental and physical health conditions. METHODS: Tweets (i.e. messages) associated with five mental and five physical health conditions were collected in ten 72-h windows over a 50-day period using automated software. A random selection of tweets per condition was considered for the analyses. Tweets were categorised according to their topic and presence of stigmatising and trivialising attitudes. Qualitative thematic analysis was performed on all stigmatising and trivialising tweets. RESULTS: A total of 1,059,258 tweets were collected, and from this sample 1300 tweets per condition were randomly selected for analysis. Overall, mental health conditions were found to be more stigmatised (12.9%) and trivialised (14.3%) compared to physical conditions (8.1 and 6.8%, respectively). Amongst mental health conditions the most stigmatised condition was schizophrenia (41%) while the most trivialised was obsessive compulsive disorder (33%). CONCLUSIONS: Our findings show that mental health stigma is common on social media. Trivialisation is also common, suggesting that while society may be more open to discussing mental health problems, care should be taken to ensure this is done appropriately. This study further demonstrates the potential for social media to be used to measure the general public’s attitudes towards mental health conditions.
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spelling pubmed-63367552019-02-01 Measuring attitudes towards mental health using social media: investigating stigma and trivialisation Robinson, Patrick Turk, Daniel Jilka, Sagar Cella, Matteo Soc Psychiatry Psychiatr Epidemiol Original Paper BACKGROUND: There are numerous campaigns targeting mental health stigma. However, evaluating how effective these are in changing perceptions is complex. Social media may be used to assess stigma levels and highlight new trends. This study uses a social media platform, Twitter, to investigate stigmatising and trivialising attitudes across a range of mental and physical health conditions. METHODS: Tweets (i.e. messages) associated with five mental and five physical health conditions were collected in ten 72-h windows over a 50-day period using automated software. A random selection of tweets per condition was considered for the analyses. Tweets were categorised according to their topic and presence of stigmatising and trivialising attitudes. Qualitative thematic analysis was performed on all stigmatising and trivialising tweets. RESULTS: A total of 1,059,258 tweets were collected, and from this sample 1300 tweets per condition were randomly selected for analysis. Overall, mental health conditions were found to be more stigmatised (12.9%) and trivialised (14.3%) compared to physical conditions (8.1 and 6.8%, respectively). Amongst mental health conditions the most stigmatised condition was schizophrenia (41%) while the most trivialised was obsessive compulsive disorder (33%). CONCLUSIONS: Our findings show that mental health stigma is common on social media. Trivialisation is also common, suggesting that while society may be more open to discussing mental health problems, care should be taken to ensure this is done appropriately. This study further demonstrates the potential for social media to be used to measure the general public’s attitudes towards mental health conditions. Springer Berlin Heidelberg 2018-08-01 2019 /pmc/articles/PMC6336755/ /pubmed/30069754 http://dx.doi.org/10.1007/s00127-018-1571-5 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Paper
Robinson, Patrick
Turk, Daniel
Jilka, Sagar
Cella, Matteo
Measuring attitudes towards mental health using social media: investigating stigma and trivialisation
title Measuring attitudes towards mental health using social media: investigating stigma and trivialisation
title_full Measuring attitudes towards mental health using social media: investigating stigma and trivialisation
title_fullStr Measuring attitudes towards mental health using social media: investigating stigma and trivialisation
title_full_unstemmed Measuring attitudes towards mental health using social media: investigating stigma and trivialisation
title_short Measuring attitudes towards mental health using social media: investigating stigma and trivialisation
title_sort measuring attitudes towards mental health using social media: investigating stigma and trivialisation
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6336755/
https://www.ncbi.nlm.nih.gov/pubmed/30069754
http://dx.doi.org/10.1007/s00127-018-1571-5
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