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Discussions of Asperger Syndrome on Social Media: Content and Sentiment Analysis on Twitter

BACKGROUND: On May 8, 2021, Elon Musk, a well-recognized entrepreneur and business magnate, revealed on a popular television show that he has Asperger syndrome. Research has shown that people’s perceptions of a condition are modified when influential individuals in society publicly disclose their di...

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Autores principales: Gabarron, Elia, Dechsling, Anders, Skafle, Ingjerd, Nordahl-Hansen, Anders
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938830/
https://www.ncbi.nlm.nih.gov/pubmed/35254265
http://dx.doi.org/10.2196/32752
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author Gabarron, Elia
Dechsling, Anders
Skafle, Ingjerd
Nordahl-Hansen, Anders
author_facet Gabarron, Elia
Dechsling, Anders
Skafle, Ingjerd
Nordahl-Hansen, Anders
author_sort Gabarron, Elia
collection PubMed
description BACKGROUND: On May 8, 2021, Elon Musk, a well-recognized entrepreneur and business magnate, revealed on a popular television show that he has Asperger syndrome. Research has shown that people’s perceptions of a condition are modified when influential individuals in society publicly disclose their diagnoses. It was anticipated that Musk's disclosure would contribute to discussions on the internet about the syndrome, and also to a potential change in the perception of this condition. OBJECTIVE: The objective of this study was to compare the types of information contained in popular tweets about Asperger syndrome as well as their engagement and sentiment before and after Musk’s disclosure. METHODS: We extracted tweets that were published 1 week before and after Musk's disclosure that had received >30 likes and included the terms “Aspergers” or “Aspie.” The content of each post was classified by 2 independent coders as to whether the information provided was valid, contained misinformation, or was neutral. Furthermore, we analyzed the engagement on these posts and the expressed sentiment by using the AFINN sentiment analysis tool. RESULTS: We extracted a total of 227 popular tweets (34 posted the week before Musk’s announcement and 193 posted the week after). We classified 210 (92.5%) of the tweets as neutral, 13 (5.7%) tweets as informative, and 4 (1.8%) as containing misinformation. Both informative and misinformative tweets were posted after Musk’s disclosure. Popular tweets posted before Musk’s disclosure were significantly more engaging (received more comments, retweets, and likes) than the tweets posted the week after. We did not find a significant difference in the sentiment expressed in the tweets posted before and after the announcement. CONCLUSIONS: The use of social media platforms by health authorities, autism associations, and other stakeholders has the potential to increase the awareness and acceptance of knowledge about autism and Asperger syndrome. When prominent figures disclose their diagnoses, the number of posts about their particular condition tends to increase and thus promote a potential opportunity for greater outreach to the general public about that condition.
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spelling pubmed-89388302022-03-23 Discussions of Asperger Syndrome on Social Media: Content and Sentiment Analysis on Twitter Gabarron, Elia Dechsling, Anders Skafle, Ingjerd Nordahl-Hansen, Anders JMIR Form Res Original Paper BACKGROUND: On May 8, 2021, Elon Musk, a well-recognized entrepreneur and business magnate, revealed on a popular television show that he has Asperger syndrome. Research has shown that people’s perceptions of a condition are modified when influential individuals in society publicly disclose their diagnoses. It was anticipated that Musk's disclosure would contribute to discussions on the internet about the syndrome, and also to a potential change in the perception of this condition. OBJECTIVE: The objective of this study was to compare the types of information contained in popular tweets about Asperger syndrome as well as their engagement and sentiment before and after Musk’s disclosure. METHODS: We extracted tweets that were published 1 week before and after Musk's disclosure that had received >30 likes and included the terms “Aspergers” or “Aspie.” The content of each post was classified by 2 independent coders as to whether the information provided was valid, contained misinformation, or was neutral. Furthermore, we analyzed the engagement on these posts and the expressed sentiment by using the AFINN sentiment analysis tool. RESULTS: We extracted a total of 227 popular tweets (34 posted the week before Musk’s announcement and 193 posted the week after). We classified 210 (92.5%) of the tweets as neutral, 13 (5.7%) tweets as informative, and 4 (1.8%) as containing misinformation. Both informative and misinformative tweets were posted after Musk’s disclosure. Popular tweets posted before Musk’s disclosure were significantly more engaging (received more comments, retweets, and likes) than the tweets posted the week after. We did not find a significant difference in the sentiment expressed in the tweets posted before and after the announcement. CONCLUSIONS: The use of social media platforms by health authorities, autism associations, and other stakeholders has the potential to increase the awareness and acceptance of knowledge about autism and Asperger syndrome. When prominent figures disclose their diagnoses, the number of posts about their particular condition tends to increase and thus promote a potential opportunity for greater outreach to the general public about that condition. JMIR Publications 2022-03-07 /pmc/articles/PMC8938830/ /pubmed/35254265 http://dx.doi.org/10.2196/32752 Text en ©Elia Gabarron, Anders Dechsling, Ingjerd Skafle, Anders Nordahl-Hansen. Originally published in JMIR Formative Research (https://formative.jmir.org), 07.03.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Gabarron, Elia
Dechsling, Anders
Skafle, Ingjerd
Nordahl-Hansen, Anders
Discussions of Asperger Syndrome on Social Media: Content and Sentiment Analysis on Twitter
title Discussions of Asperger Syndrome on Social Media: Content and Sentiment Analysis on Twitter
title_full Discussions of Asperger Syndrome on Social Media: Content and Sentiment Analysis on Twitter
title_fullStr Discussions of Asperger Syndrome on Social Media: Content and Sentiment Analysis on Twitter
title_full_unstemmed Discussions of Asperger Syndrome on Social Media: Content and Sentiment Analysis on Twitter
title_short Discussions of Asperger Syndrome on Social Media: Content and Sentiment Analysis on Twitter
title_sort discussions of asperger syndrome on social media: content and sentiment analysis on twitter
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938830/
https://www.ncbi.nlm.nih.gov/pubmed/35254265
http://dx.doi.org/10.2196/32752
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