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
点击翻译按钮获取中文摘要
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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海外基金