Background:<\/b>\u00a0Mental illness (MI), and particularly, bipolar disorder (BD), are highly stigmatized. However, it is unknown if this stigma is also represented on social media.<\/p>\n
Aims:<\/b>\u00a0Characterize Twitter-based stigma and social support messaging (\u201ctweets\u201d) about mental health\/illness (MH)\/MI and BD and determine which tweets garnered retweets.<\/p>\n
Methods:<\/b>\u00a0We collected tweets about MH\/MI and BD during a three-month period and analyzed tweets from dates with the most tweets (\u201cspikes\u201d), an indicator of topic interest. A sample was manually content analyzed, and the remainder were classified using machine learning (logistic regression) by topic, stigma, and social support messaging. We compared stigma and support toward MH\/MI versus BD and used logistic regression to quantify tweet features associated with retweets, to assess tweet reach.<\/p>\n
Results:<\/b>\u00a0Of the 1,270,902 tweets analyzed, 94.7% discussed MH\/MI and 5.3% discussed BD. Spikes coincided with a celebrity\u2019s death and a MH awareness campaign. Although the sample contained more support than stigma messaging, BD tweets contained more stigma and less support than MH\/MI tweets. However, stigma messaging was infrequently retweeted, and users often retweeted personal MH experiences.<\/p>\n
Conclusions:<\/b>\u00a0These findings demonstrate opportunities for social media advocacy to reduce stigma and increase displays of social support towards people living with BD.<\/p>\n","protected":false},"excerpt":{"rendered":"
Background:\u00a0Mental illness (MI), and particularly, bipolar disorder (BD), are highly stigmatized. However, it is unknown if this stigma is also represented on social media. Aims:\u00a0Characterize Twitter-based stigma and social support messaging (\u201ctweets\u201d) about mental health\/illness (MH)\/MI and BD and determine which tweets garnered retweets. Methods:\u00a0We collected tweets about MH\/MI and BD during a three-month period […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"Journal of Mental Health","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"","msr_other_contributors":"","msr_speaker":"","msr_award":"","msr_affiliation":"","msr_institution":"","msr_host":"","msr_version":"","msr_duration":"","msr_original_fields_of_study":"","msr_release_tracker_id":"","msr_s2_match_type":"","msr_citation_count_updated":"","msr_published_date":"2019-11-7","msr_highlight_text":"","msr_notes":"","msr_longbiography":"","msr_publicationurl":"","msr_external_url":"","msr_secondary_video_url":"","msr_conference_url":"","msr_journal_url":"","msr_s2_pdf_url":"","msr_year":0,"msr_citation_count":0,"msr_influential_citations":0,"msr_reference_count":0,"msr_s2_match_confidence":0,"msr_microsoftintellectualproperty":true,"msr_s2_open_access":false,"msr_s2_author_ids":[],"msr_pub_ids":[],"msr_hide_image_in_river":0,"footnotes":""},"msr-research-highlight":[],"research-area":[13556,13553],"msr-publication-type":[193715],"msr-publisher":[],"msr-focus-area":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-621828","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-artificial-intelligence","msr-research-area-medical-health-genomics","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2019-11-7","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"Journal of Mental Health","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"url","viewUrl":"false","id":"false","title":"https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/09638237.2019.1677878?journalCode=ijmh20","label_id":"243109","label":0}],"msr_related_uploader":"","msr_citation_count":0,"msr_citation_count_updated":"","msr_s2_paper_id":"","msr_influential_citations":0,"msr_reference_count":0,"msr_arxiv_id":"","msr_s2_author_ids":[],"msr_s2_open_access":false,"msr_s2_pdf_url":null,"msr_attachments":[],"msr-author-ordering":[{"type":"text","value":"Alexandra Budenz","user_id":0,"rest_url":false},{"type":"text","value":"Ann Klassen","user_id":0,"rest_url":false},{"type":"text","value":"Jonathan Purtle","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Elad Yom-Tov","user_id":31729,"rest_url":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Elad Yom-Tov"},{"type":"text","value":"Michael Yudell","user_id":0,"rest_url":false},{"type":"text","value":"Philip Massey","user_id":0,"rest_url":false}],"msr_impact_theme":[],"msr_research_lab":[199563],"msr_event":[],"msr_group":[367673,646851],"msr_project":[375953],"publication":[],"video":[],"msr-tool":[],"msr_publication_type":"article","related_content":{"projects":[{"ID":375953,"post_title":"Internet-Mediated Health","post_name":"internet-mediated-health","post_type":"msr-project","post_date":"2012-08-01 05:15:47","post_modified":"2022-07-14 02:17:04","post_status":"publish","permalink":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/project\/internet-mediated-health\/","post_excerpt":"The majority of Internet users turn to the web for information when they have a medical concern. 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