A content analysis of depression-related Tweets.
A content analysis of depression-related Tweets.
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DOI：
10.1016/j.chb.2015.08.023
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发表时间：
2016-01-01
影响因子：
9.9
通讯作者：
Bierut LJ
中科院分区：
文献类型：
--
作者：
Cavazos-Rehg PA;Krauss MJ;Sowles S;Connolly S;Rosas C;Bharadwaj M;Bierut LJ
这项研究调查了推特上与抑郁相关的聊天，以了解社交网络对心理健康的影响。我们评估了一个随机样本（n= 2000）抑郁相关推文的主题（发送时间为4月11日至5月4日）。对推文进行编码，以表达DSM-5中重度抑郁症（MDD）的症状。关于抑郁症的支持或帮助的推文是最常见的主题（n=787, 40%），紧随其后的是披露抑郁情绪（n=625, 32%）。三分之二的推文显示了一种或多种诊断重度抑郁症的症状，并且/或者在考虑了微不足道地提到抑郁症的推文后，传达了与抑郁症斗争一致的想法或想法。卫生专业人员可以利用我们的研究结果，为有需要的Twitter用户量身定制针对性的预防和意识信息。
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=2,000) 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.