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Leveraging Informatics to Understand Online Communication Patterns Between Migraine Sufferers on Social Media.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Leveraging Informatics to Understand Online Communication Patterns Between Migraine Sufferers on Social Media./
作者:
Gomaa, Basma Tawfik Mohamed.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:
80 p.
附註:
Source: Dissertations Abstracts International, Volume: 82-10, Section: B.
Contained By:
Dissertations Abstracts International82-10B.
標題:
Mass communications. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28320213
ISBN:
9798728229469
Leveraging Informatics to Understand Online Communication Patterns Between Migraine Sufferers on Social Media.
Gomaa, Basma Tawfik Mohamed.
Leveraging Informatics to Understand Online Communication Patterns Between Migraine Sufferers on Social Media.
- Ann Arbor : ProQuest Dissertations & Theses, 2021 - 80 p.
Source: Dissertations Abstracts International, Volume: 82-10, Section: B.
Thesis (Ph.D.)--University of Minnesota, 2021.
This item must not be sold to any third party vendors.
Social Network Sites (SNS) have been widely used by patients to exchange emotional support and health information in several health conditions. However, migraine patients' use of social media is under-investigated. In this study, we investigated migraine patients' behavior on two social media platforms by applying "Content" and "Social Network Analysis" techniques. The study aimed to compare the connectivity by describing the network structure, tie characteristics, in addition to identifying conversational themes. The migraine network on Twitter is more connected than the Facebook network, indicating more information and emotional support exchanged on Twitter. The informational theme dominated over the emotional theme on both platforms. However, the quality of information exchanged on Facebook was better than on Twitter which contained misinformation, spam and advertisements. The study highlights the vital role of moderators and sheds light on the technical features unique to each platform and impact on the users' engagement patterns. The study provides guidance to intervention designers, online community managers and public health officials regarding the appropriate platform with specific technical features that will address the unique needs for migraine patients. More studies are needed, however, about the connection between technology, patients and disease conditions.
ISBN: 9798728229469Subjects--Topical Terms:
3422380
Mass communications.
Subjects--Index Terms:
Communication
Leveraging Informatics to Understand Online Communication Patterns Between Migraine Sufferers on Social Media.
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Social Network Sites (SNS) have been widely used by patients to exchange emotional support and health information in several health conditions. However, migraine patients' use of social media is under-investigated. In this study, we investigated migraine patients' behavior on two social media platforms by applying "Content" and "Social Network Analysis" techniques. The study aimed to compare the connectivity by describing the network structure, tie characteristics, in addition to identifying conversational themes. The migraine network on Twitter is more connected than the Facebook network, indicating more information and emotional support exchanged on Twitter. The informational theme dominated over the emotional theme on both platforms. However, the quality of information exchanged on Facebook was better than on Twitter which contained misinformation, spam and advertisements. The study highlights the vital role of moderators and sheds light on the technical features unique to each platform and impact on the users' engagement patterns. The study provides guidance to intervention designers, online community managers and public health officials regarding the appropriate platform with specific technical features that will address the unique needs for migraine patients. More studies are needed, however, about the connection between technology, patients and disease conditions.
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