Navigating the asthma network on Twitter: Insights from social network and sentiment analysis
Background Asthma is a condition in which the airways become inflamed and constricted, causing breathing difficulties, wheezing, coughing, and chest tightness. Social networks can have a substantial effect on asthma management and results. However, no studies of social networks addressing asthma hav...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2024-01-01
|
| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076231224075 |
| _version_ | 1797348260622368768 |
|---|---|
| author | Hening Pratiwi Ria Benkő Ikhwan Yuda Kusuma |
| author_facet | Hening Pratiwi Ria Benkő Ikhwan Yuda Kusuma |
| author_sort | Hening Pratiwi |
| collection | DOAJ |
| description | Background Asthma is a condition in which the airways become inflamed and constricted, causing breathing difficulties, wheezing, coughing, and chest tightness. Social networks can have a substantial effect on asthma management and results. However, no studies of social networks addressing asthma have been undertaken. Objective The aim of this research was to identify the significant social network structures, key influencers, top topics, and sentiments of asthma-related Twitter conversations. Methods All the tweets collected for this study included the keyword “asthma” or were mentioned in or in replies to tweets that were performed. For this study, a random sample of Twitter data was collected using NodeXL Pro software between December 1, 2022, and January 29, 2023. The data collected includes the user's display name, Twitter handle, tweet text, and the tweet's publishing date and time. After being imported into the Gephi application, the NodeXL data were then shown using the Fruchterman-Reingold layout method. In our study, SNA (Social Network Analysis) metrics were utilized to identify the most popular subject using hashtags, sentiment-related phrases (positive, negative, or neutral), and top influencer by centrality measures (degree, betweenness). Results The study collected 48,122 tweets containing the keyword “asthma” or mentioned in replies. News reporters and journalists emerged as top influencers based on centrality measures in Twitter conversations about asthma, followed by government and healthcare institutions. Education, trigger factors (e.g., cat exposure, diet), and associated conditions were highly discussed topics on asthma-related social media posts (e.g., sarscov2, copd). Our study's sentiment analysis revealed that there were 8427 phrases associated neutral comments (18%), 12,582 words reflecting positive viewpoints (26%), and 27,111 words reflecting negative opinions (56%). Conclusion This study investigates the relevance of social media influencers, news reporters, health experts, health organizations, and the government in the dissemination and promotion of asthma-related education and awareness during public health information. |
| first_indexed | 2024-03-08T12:02:11Z |
| format | Article |
| id | doaj.art-fb70aeee01774c348dc2fd0766ce690b |
| institution | Directory Open Access Journal |
| issn | 2055-2076 |
| language | English |
| last_indexed | 2024-03-08T12:02:11Z |
| publishDate | 2024-01-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Digital Health |
| spelling | doaj.art-fb70aeee01774c348dc2fd0766ce690b2024-01-23T19:04:42ZengSAGE PublishingDigital Health2055-20762024-01-011010.1177/20552076231224075Navigating the asthma network on Twitter: Insights from social network and sentiment analysisHening Pratiwi0Ria Benkő1Ikhwan Yuda Kusuma2 Department of Pharmacy, Faculty of Health Sciences, , Purwokerto, Indonesia Albert Szent-Györgyi Health Centre, Emergency Department, , Szeged, Hungary Pharmacy Study Program, Faculty of Health, Universitas Harapan Bangsa, Purwokerto, IndonesiaBackground Asthma is a condition in which the airways become inflamed and constricted, causing breathing difficulties, wheezing, coughing, and chest tightness. Social networks can have a substantial effect on asthma management and results. However, no studies of social networks addressing asthma have been undertaken. Objective The aim of this research was to identify the significant social network structures, key influencers, top topics, and sentiments of asthma-related Twitter conversations. Methods All the tweets collected for this study included the keyword “asthma” or were mentioned in or in replies to tweets that were performed. For this study, a random sample of Twitter data was collected using NodeXL Pro software between December 1, 2022, and January 29, 2023. The data collected includes the user's display name, Twitter handle, tweet text, and the tweet's publishing date and time. After being imported into the Gephi application, the NodeXL data were then shown using the Fruchterman-Reingold layout method. In our study, SNA (Social Network Analysis) metrics were utilized to identify the most popular subject using hashtags, sentiment-related phrases (positive, negative, or neutral), and top influencer by centrality measures (degree, betweenness). Results The study collected 48,122 tweets containing the keyword “asthma” or mentioned in replies. News reporters and journalists emerged as top influencers based on centrality measures in Twitter conversations about asthma, followed by government and healthcare institutions. Education, trigger factors (e.g., cat exposure, diet), and associated conditions were highly discussed topics on asthma-related social media posts (e.g., sarscov2, copd). Our study's sentiment analysis revealed that there were 8427 phrases associated neutral comments (18%), 12,582 words reflecting positive viewpoints (26%), and 27,111 words reflecting negative opinions (56%). Conclusion This study investigates the relevance of social media influencers, news reporters, health experts, health organizations, and the government in the dissemination and promotion of asthma-related education and awareness during public health information.https://doi.org/10.1177/20552076231224075 |
| spellingShingle | Hening Pratiwi Ria Benkő Ikhwan Yuda Kusuma Navigating the asthma network on Twitter: Insights from social network and sentiment analysis Digital Health |
| title | Navigating the asthma network on Twitter: Insights from social network and sentiment analysis |
| title_full | Navigating the asthma network on Twitter: Insights from social network and sentiment analysis |
| title_fullStr | Navigating the asthma network on Twitter: Insights from social network and sentiment analysis |
| title_full_unstemmed | Navigating the asthma network on Twitter: Insights from social network and sentiment analysis |
| title_short | Navigating the asthma network on Twitter: Insights from social network and sentiment analysis |
| title_sort | navigating the asthma network on twitter insights from social network and sentiment analysis |
| url | https://doi.org/10.1177/20552076231224075 |
| work_keys_str_mv | AT heningpratiwi navigatingtheasthmanetworkontwitterinsightsfromsocialnetworkandsentimentanalysis AT riabenko navigatingtheasthmanetworkontwitterinsightsfromsocialnetworkandsentimentanalysis AT ikhwanyudakusuma navigatingtheasthmanetworkontwitterinsightsfromsocialnetworkandsentimentanalysis |