#Globalhealth Twitter Conversations on #Malaria, #HIV, #TB, #NCDS, and #NTDS: a Cross-Sectional Analysis
<p>Background</p><p>Advocates use the hashtag #GlobalHealth on Twitter to draw users' attention to prominent themes on <a title="Learn more about Global Health" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/global-health">global he...
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Ubiquity Press
2017
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oai:doaj.org-article:dfdbc7d92b364a50bebe3008b5dd1a892021-12-02T05:30:09Z#Globalhealth Twitter Conversations on #Malaria, #HIV, #TB, #NCDS, and #NTDS: a Cross-Sectional Analysis2214-999610.1016/j.aogh.2017.09.006https://doaj.org/article/dfdbc7d92b364a50bebe3008b5dd1a892017-10-01T00:00:00Zhttps://annalsofglobalhealth.org/articles/205https://doaj.org/toc/2214-9996<p>Background</p><p>Advocates use the hashtag #GlobalHealth on Twitter to draw users' attention to prominent themes on <a title="Learn more about Global Health" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/global-health">global health</a>, to harness their support, and to advocate for change.</p><p>Objectives</p><p>We aimed to describe #GlobalHealth tweets pertinent to given major health issues.</p><p>Methods</p><p>Tweets containing the hashtag #GlobalHealth (N = 157,951) from January 1, 2014, to April 30, 2015, were purchased from GNIP Inc. We extracted 5 subcorpora of tweets, each with 1 of 5 co-occurring disease-specific hashtags (#Malaria, #HIV, #TB, #NCDS, and #NTDS) for further analysis. Unsupervised machine learning was applied to each subcorpus to categorize the tweets by their underlying topics and obtain the representative tweets of each topic. The topics were grouped into 1 of 4 themes (advocacy; epidemiological information; prevention, control, and treatment; societal impact) or miscellaneous. Manual categorization of most frequent users was performed. Time zones of users were analyzed.</p><p>Findings</p><p>In the entire #GlobalHealth corpus (N = 157,951), there were 40,266 unique users, 85,168 retweets, and 13,107 unique co-occurring hashtags. Of the 13,087 tweets across the 5 subcorpora with co-occurring hashtag #malaria (n = 3640), #HIV (n = 3557), #NCDS (noncommunicable diseases; n = 2373), #TB (tuberculosis; n = 1781), and #NTDS (neglected tropical diseases; n = 1736), the most prevalent theme was prevention, control, and treatment (4339, 33.16%), followed by advocacy (3706, 28.32%), epidemiological information (1803, 13.78%), and societal impact (1617, 12.36%). Among the top 10 users who tweeted the highest number of tweets in the #GlobalHealth corpus, 5 were individual professionals, 3 were news media, and 2 were organizations advocating for global health. The most common users' time zone was Eastern Time (United States and Canada).</p><p>Conclusions</p>This study highlighted the specific #GlobalHealth Twitter conversations pertinent to malaria, <a title="Learn more about Human Immunodeficiency Virus" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/human-immunodeficiency-virus">HIV</a>, <a title="Learn more about Tuberculosis" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/tuberculosis">tuberculosis</a>, noncommunicable diseases, and <a title="Learn more about Neglected tropical diseases" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/neglected-tropical-diseases">neglected tropical diseases</a>. These conversations reflect the priorities of advocates, funders, policymakers, and practitioners of global health on these high-burden diseases as they presented their views and information on Twitter to their followers.Isaac Chun-Hai FungAshley M. JacksonJennifer O. AhweyevuJordan H. GrizzleJingjing YinZion Tsz Ho TseHai LiangJuliet N. SekandiKing-Wa FuUbiquity Pressarticleglobal healthhealth communicationInternetmachine learningmanual codingsocial mediaTwitterInfectious and parasitic diseasesRC109-216Public aspects of medicineRA1-1270ENAnnals of Global Health, Vol 83, Iss 3-4, Pp 682-690 (2017) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
global health health communication Internet machine learning manual coding social media Infectious and parasitic diseases RC109-216 Public aspects of medicine RA1-1270 |
| spellingShingle |
global health health communication Internet machine learning manual coding social media Infectious and parasitic diseases RC109-216 Public aspects of medicine RA1-1270 Isaac Chun-Hai Fung Ashley M. Jackson Jennifer O. Ahweyevu Jordan H. Grizzle Jingjing Yin Zion Tsz Ho Tse Hai Liang Juliet N. Sekandi King-Wa Fu #Globalhealth Twitter Conversations on #Malaria, #HIV, #TB, #NCDS, and #NTDS: a Cross-Sectional Analysis |
| description |
<p>Background</p><p>Advocates use the hashtag #GlobalHealth on Twitter to draw users' attention to prominent themes on <a title="Learn more about Global Health" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/global-health">global health</a>, to harness their support, and to advocate for change.</p><p>Objectives</p><p>We aimed to describe #GlobalHealth tweets pertinent to given major health issues.</p><p>Methods</p><p>Tweets containing the hashtag #GlobalHealth (N = 157,951) from January 1, 2014, to April 30, 2015, were purchased from GNIP Inc. We extracted 5 subcorpora of tweets, each with 1 of 5 co-occurring disease-specific hashtags (#Malaria, #HIV, #TB, #NCDS, and #NTDS) for further analysis. Unsupervised machine learning was applied to each subcorpus to categorize the tweets by their underlying topics and obtain the representative tweets of each topic. The topics were grouped into 1 of 4 themes (advocacy; epidemiological information; prevention, control, and treatment; societal impact) or miscellaneous. Manual categorization of most frequent users was performed. Time zones of users were analyzed.</p><p>Findings</p><p>In the entire #GlobalHealth corpus (N = 157,951), there were 40,266 unique users, 85,168 retweets, and 13,107 unique co-occurring hashtags. Of the 13,087 tweets across the 5 subcorpora with co-occurring hashtag #malaria (n = 3640), #HIV (n = 3557), #NCDS (noncommunicable diseases; n = 2373), #TB (tuberculosis; n = 1781), and #NTDS (neglected tropical diseases; n = 1736), the most prevalent theme was prevention, control, and treatment (4339, 33.16%), followed by advocacy (3706, 28.32%), epidemiological information (1803, 13.78%), and societal impact (1617, 12.36%). Among the top 10 users who tweeted the highest number of tweets in the #GlobalHealth corpus, 5 were individual professionals, 3 were news media, and 2 were organizations advocating for global health. The most common users' time zone was Eastern Time (United States and Canada).</p><p>Conclusions</p>This study highlighted the specific #GlobalHealth Twitter conversations pertinent to malaria, <a title="Learn more about Human Immunodeficiency Virus" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/human-immunodeficiency-virus">HIV</a>, <a title="Learn more about Tuberculosis" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/tuberculosis">tuberculosis</a>, noncommunicable diseases, and <a title="Learn more about Neglected tropical diseases" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/neglected-tropical-diseases">neglected tropical diseases</a>. These conversations reflect the priorities of advocates, funders, policymakers, and practitioners of global health on these high-burden diseases as they presented their views and information on Twitter to their followers. |
| format |
article |
| author |
Isaac Chun-Hai Fung Ashley M. Jackson Jennifer O. Ahweyevu Jordan H. Grizzle Jingjing Yin Zion Tsz Ho Tse Hai Liang Juliet N. Sekandi King-Wa Fu |
| author_facet |
Isaac Chun-Hai Fung Ashley M. Jackson Jennifer O. Ahweyevu Jordan H. Grizzle Jingjing Yin Zion Tsz Ho Tse Hai Liang Juliet N. Sekandi King-Wa Fu |
| author_sort |
Isaac Chun-Hai Fung |
| title |
#Globalhealth Twitter Conversations on #Malaria, #HIV, #TB, #NCDS, and #NTDS: a Cross-Sectional Analysis |
| title_short |
#Globalhealth Twitter Conversations on #Malaria, #HIV, #TB, #NCDS, and #NTDS: a Cross-Sectional Analysis |
| title_full |
#Globalhealth Twitter Conversations on #Malaria, #HIV, #TB, #NCDS, and #NTDS: a Cross-Sectional Analysis |
| title_fullStr |
#Globalhealth Twitter Conversations on #Malaria, #HIV, #TB, #NCDS, and #NTDS: a Cross-Sectional Analysis |
| title_full_unstemmed |
#Globalhealth Twitter Conversations on #Malaria, #HIV, #TB, #NCDS, and #NTDS: a Cross-Sectional Analysis |
| title_sort |
#globalhealth twitter conversations on #malaria, #hiv, #tb, #ncds, and #ntds: a cross-sectional analysis |
| publisher |
Ubiquity Press |
| publishDate |
2017 |
| url |
https://doaj.org/article/dfdbc7d92b364a50bebe3008b5dd1a89 |
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