UNDERSTANDING DEPRESSION DISPLAYS ON TWITTER AND IDENTIFYING WAYS TO INTERVENE
UNDERSTANDING DEPRESSION DISPLAYS ON TWITTER AND IDENTIFYING WAYS TO INTERVENE
批准号:
9173748
负责人:
Patricia A Cavazos-Rehg
金额:
$7.63万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-08-01 至 2018-07-31
关键词:
AcquaintancesAddressAdultBehaviorCodeCommunitiesCrisis InterventionDepressed moodDiagnostic and Statistical Manual of Mental DisordersDisadvantagedElderlyFeelingFeeling suicidalFrequenciesFriendsGoalsGrantHealth systemHealthcareIndividualInvestmentsLearningLinkMajor Depressive DisorderMental DepressionMental HealthMental disordersMental health promotionMethodsMotivationOnline SystemsParentsParticipantPatient Self-ReportPreventionProfessional counselorPublic HealthRecruitment ActivityResearchRiskSamplingSelf-Injurious BehaviorServicesSignal TransductionSocial InteractionSocial NetworkSocial supportStructureSuggestionSuicideSurveysSymptomsTestingTimeVentWorkbasedepressive symptomsexperienceoutreachpreferencesocial mediasocial networking websitesymptomatologytherapy developmenttoolyoung adult
中文摘要
项目摘要
Twitter是最受欢迎的社交网站之一,拥有大量的年轻用户群。研究
已经表明,关于抑郁症的社交网络在Twitter上相对常见。确实是
令人担忧的是,个人在社交网络上谈论与抑郁症有关的话题,特别是当推文
涉及自残和自杀的想法确定这些推文与自我的对应程度
报告的抑郁症状,关于抑郁症的网络动机,用户在多大程度上
获得精神卫生保健和他们对寻求帮助的人的参与方法的偏好
它们都是这一研究领域的重要下一步。在这项拨款中,我们提出了一项小型投资研究,
了解我们可以在多大程度上使用Twitter帖子来正确识别和招募那些正在挣扎的人
抑郁症相关的神经病学本提案的总体目标是探讨战略,
帮助那些感到抑郁、考虑自杀和/或自残的人
并在Twitter上表达这些挣扎。在目标1中,我们将确定Twitter是否可以帮助我们
正确识别与抑郁症和相关因素作斗争的个体(例如,自杀/自残)
采用不同的招聘方式。在目标2中,我们将发现具体的感知优势/劣势
在Twitter上建立关于抑郁症的网络,有多少参与者已经参与了心理健康,
系统,以及参与者对通过Twitter接近有需要的人的方法的建议和偏好。我们
这项研究对于理解社交媒体上抑郁症的网络以及
探讨危机干预的潜在战略。
英文摘要
Project Summary
Twitter is one of the most popular social networking sites, with a substantial young adult user base. Research
has signaled that social networking about depression is a relatively common occurrence on Twitter. It is indeed
worrisome that individuals are socially networking about depression-related topics, especially when the tweets
involve self-harm and suicidal thoughts. Determining the degree to which these tweets correspond with self-
reported depression symptoms, motivation for networking about depression, the extent to which users are
accessing mental health care and their preferences for methods of engagement from those seeking to help
them are all important next steps in this line of research. In this grant, we propose a small investment study to
learn the extent that we can use Twitter posts to correctly identify and recruit individuals who are struggling
with depression-related symptomatology. The overall aim of this proposal is to explore strategies for identifying
and helping individuals who are feeling depressed, contemplating suicide, and/or engaging in self-harm
behaviors and expressing these struggles on Twitter. In Aim 1, we will determine if Twitter can help us to
correctly identify individuals who are struggling with depression and related factors (e.g., suicide/self-harm)
using different recruitment methods. In Aim 2, we will discover specific perceived advantages/disadvantages
for networking about depression on Twitter, how much participants are already engaged with the mental health
system, and participant suggestions and preferences for methods to approach people in need via Twitter. Our
study has important implications for understanding the networking about depression on social media and for
exploring potential strategies for crisis intervention.
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