کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6837852 618427 2016 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A content analysis of depression-related tweets
ترجمه فارسی عنوان
تجزیه و تحلیل محتوا از توییت های مربوط به افسردگی
کلمات کلیدی
رسانه های اجتماعی، افسردگی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
This study examines depression-related chatter on Twitter to glean insight into social networking about mental health. We assessed themes of a random sample (n = 2000) of depression-related tweets (sent 4-11 to 5-4-14). Tweets were coded for expression of DSM-5 symptoms for Major Depressive Disorder (MDD). Supportive or helpful tweets about depression was the most common theme (n = 787, 40%), closely followed by disclosing feelings of depression (n = 625; 32%). Two-thirds of tweets revealed one or more symptoms for the diagnosis of MDD and/or communicated thoughts or ideas that were consistent with struggles with depression after accounting for tweets that mentioned depression trivially. Health professionals can use our findings to tailor and target prevention and awareness messages to those Twitter users in need.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Human Behavior - Volume 54, January 2016, Pages 351-357
نویسندگان
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