Stupinski Anne Marie, Alshaabi Thayer, Arnold Michael V, Adams Jane Lydia, Minot Joshua R, Price Matthew, Dodds Peter Sheridan, Danforth Christopher M
Computational Story Lab, Vermont Complex Systems Center, University of Vermont, Burlington, VT, United States.
Advanced Bioimaging Center, University of California, Berkeley, CA, United States.
JMIR Ment Health. 2022 Mar 30;9(3):e33685. doi: 10.2196/33685.
Mental health challenges are thought to affect approximately 10% of the global population each year, with many of those affected going untreated because of the stigma and limited access to services. As social media lowers the barrier for joining difficult conversations and finding supportive groups, Twitter is an open source of language data describing the changing experience of a stigmatized group.
By measuring changes in the conversation around mental health on Twitter, we aim to quantify the hypothesized increase in discussions and awareness of the topic as well as the corresponding reduction in stigma around mental health.
We explored trends in words and phrases related to mental health through a collection of 1-, 2-, and 3-grams parsed from a data stream of approximately 10% of all English tweets from 2010 to 2021. We examined temporal dynamics of mental health language and measured levels of positivity of the messages. Finally, we used the ratio of original tweets to retweets to quantify the fraction of appearances of mental health language that was due to social amplification.
We found that the popularity of the phrase mental health increased by nearly two orders of magnitude between 2012 and 2018. We observed that mentions of mental health spiked annually and reliably because of mental health awareness campaigns as well as unpredictably in response to mass shootings, celebrities dying by suicide, and popular fictional television stories portraying suicide. We found that the level of positivity of messages containing mental health, while stable through the growth period, has declined recently. Finally, we observed that since 2015, mentions of mental health have become increasingly due to retweets, suggesting that the stigma associated with the discussion of mental health on Twitter has diminished with time.
These results provide useful texture regarding the growing conversation around mental health on Twitter and suggest that more awareness and acceptance has been brought to the topic compared with past years.
心理健康问题被认为每年影响着全球约10%的人口,许多受影响者因耻辱感和获得服务的机会有限而未得到治疗。随着社交媒体降低了参与艰难对话和寻找支持群体的门槛,推特是一个描述受污名化群体不断变化经历的语言数据开源平台。
通过测量推特上围绕心理健康的对话变化,我们旨在量化该主题讨论和认知度的假设性增加,以及围绕心理健康的耻辱感相应减少的情况。
我们通过从2010年至2021年所有英语推文的约10%的数据流中解析出的单字、双字和三字词组集合,探索了与心理健康相关的词汇和短语趋势。我们研究了心理健康语言的时间动态,并测量了信息的积极程度。最后,我们使用原创推文与转发推文的比例来量化心理健康语言出现次数中因社会放大作用而产生的部分。
我们发现,“心理健康”一词的流行度在2012年至2018年间增加了近两个数量级。我们观察到,由于心理健康宣传活动,对心理健康的提及每年都会出现峰值且较为稳定,同时,因大规模枪击事件、名人自杀身亡以及流行的虚构电视故事描绘自杀等情况,提及次数也会出现不可预测的波动。我们发现,包含心理健康内容的信息的积极程度在增长期间保持稳定,但最近有所下降。最后,我们观察到,自2015年以来,对心理健康的提及越来越多地是由于转发,这表明与在推特上讨论心理健康相关的耻辱感已随时间减弱。
这些结果为推特上围绕心理健康的日益增多的对话提供了有用的情况,并表明与过去几年相比,该主题已获得了更多的认知和接受。