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dc.contributor.advisorMehl, Matthiasen_US
dc.contributor.authorHolleran, Shannon
dc.creatorHolleran, Shannonen_US
dc.date.accessioned2011-12-06T14:21:18Z
dc.date.available2011-12-06T14:21:18Z
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/10150/196085
dc.description.abstractDepression has a high prevalence among college students. Because it is a highly private (i.e. experiential) and socially stigmatized mental illness, it often goes undetected in daily life. The basic research question behind this line of research is how students' postings on their social networking websites can be used for the early detection of depression. The current research investigates how well depression can be gauged from MySpace profiles (Study 1) and Facebook profiles (Study 2 & Study 3). Across studies, the results reveal that depression can be assessed with a moderate degree of accuracy. In addition, Study 3 presents evidence that viewing "mini-blogs" allows for similar levels of accuracy compared to viewing an entire profile and the degree to which a person is Extraverted or censors information about themselves (e.g. Impression Management, Public Self-Consciousness) influences the degree of accuracy. Overall, the results speak to the idea that social networking sites can be a cost effective and clinically relevant tool to detecting depression.
dc.language.isoENen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.subjectaccuracy of first impressionsen_US
dc.subjectdepressionen_US
dc.subjectFacebooken_US
dc.subjectMySpaceen_US
dc.subjectsocial networking sitesen_US
dc.titleThe Early Detection of Depression from Social Networking Sitesen_US
dc.typetexten_US
dc.typeElectronic Dissertationen_US
dc.contributor.chairMehl, Matthiasen_US
dc.identifier.oclc659753738en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.leveldoctoralen_US
dc.contributor.committeememberGreenberg, Jeffen_US
dc.contributor.committeememberStone, Jeffen_US
dc.identifier.proquest10847en_US
thesis.degree.disciplinePsychologyen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.namePh.D.en_US
refterms.dateFOA2018-08-25T13:42:48Z
html.description.abstractDepression has a high prevalence among college students. Because it is a highly private (i.e. experiential) and socially stigmatized mental illness, it often goes undetected in daily life. The basic research question behind this line of research is how students' postings on their social networking websites can be used for the early detection of depression. The current research investigates how well depression can be gauged from MySpace profiles (Study 1) and Facebook profiles (Study 2 & Study 3). Across studies, the results reveal that depression can be assessed with a moderate degree of accuracy. In addition, Study 3 presents evidence that viewing "mini-blogs" allows for similar levels of accuracy compared to viewing an entire profile and the degree to which a person is Extraverted or censors information about themselves (e.g. Impression Management, Public Self-Consciousness) influences the degree of accuracy. Overall, the results speak to the idea that social networking sites can be a cost effective and clinically relevant tool to detecting depression.


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