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Characterizing transgender health issues in Twitter
Author(s) -
Karami Amir,
Webb Frank,
Kitzie Vanessa L.
Publication year - 2018
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.2018.14505501023
Subject(s) - transgender , perspective (graphical) , population , psychological intervention , social media , public relations , psychology , medicine , data science , computer science , political science , environmental health , world wide web , nursing , artificial intelligence , psychoanalysis
Although there are millions of transgender people in the world, a lack of information exists about their health issues. This issue has consequences for the medical field, which only has a nascent understanding of how to identify and meet this population's health‐related needs. Social media sites like Twitter provide new opportunities for transgender people to overcome these barriers by sharing their personal health experiences. Our research employs a computational framework to collect tweets from self‐identified transgender users, detect those that are health‐related, and identify their information needs. This framework is significant because it provides a macro‐scale perspective on an issue that lacks investigation at national or demographic levels. Our findings identified 54 distinct health‐related topics that we grouped into 7 broader categories. Further, we found both linguistic and topical differences in the health‐related information shared by transgender men (TM) as compared to transgender women (TW). These findings can help inform medical and policy‐based strategies for health interventions within transgender communities. Also, our proposed approach can inform the development of computational strategies to identify the health‐related information needs of other marginalized populations.