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Predicting Depression via Social Media
TLDR
We explore the potential to use social media to detect and diagnose major depressive disorder in individuals using a statistical classifier that provides estimates of the risk of depression, before the reported onset. Expand
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Automatic construction of travel itineraries using social breadcrumbs
TLDR
This paper constructs intra-city travel itineraries automatically by tapping a latent source reflecting geo-temporal breadcrumbs left by millions of tourists. Expand
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Social media as a measurement tool of depression in populations
TLDR
We present work on using a crowdsourcing methodology to build a large corpus of postings on Twitter that have been shared by individuals diagnosed with clinical depression that may serve to characterize levels of depression in populations. Expand
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Predicting postpartum changes in emotion and behavior via social media
TLDR
We consider social media as a promising tool for public health, focusing on the use of Twitter posts to build predictive models about the forthcoming influence of childbirth on the behavior and mood of new mothers. Expand
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Finding and assessing social media information sources in the context of journalism
TLDR
We develop and investigate new methods for filtering and assessing the verity of sources found through social media by journalists, informed by journalistic practices and knowledge of information production in events. Expand
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Not All Moods Are Created Equal! Exploring Human Emotional States in Social Media
TLDR
We study a popular representation of human mood landscape, known as the ‘circumplex model’ that characterizes affective experience through two dimensions: valence and activation. Expand
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Characterizing and predicting postpartum depression from shared facebook data
TLDR
The birth of a child is a major milestone in the life of parents. Expand
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How Does the Data Sampling Strategy Impact the Discovery of Information Diffusion in Social Media?
TLDR
This paper studies the impact of different attribute and topology based sampling strategies on the discovery of an important social media phenomena–information diffusion. Expand
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Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media
TLDR
This paper fills gaps in the literature by developing a statistical methodology to infer which individuals could undergo transitions from mental health discourse to suicidal ideation. Expand
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Mental Health Discourse on reddit: Self-Disclosure, Social Support, and Anonymity
TLDR
Social media is continually emerging as a platform of information exchange around health challenges. Expand
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