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Predicting Depression via Social Media
TLDR
It is found that social media contains useful signals for characterizing the onset of depression in individuals, as measured through decrease in social activity, raised negative affect, highly clustered egonetworks, heightened relational and medicinal concerns, and greater expression of religious involvement.
Social media as a measurement tool of depression in populations
TLDR
A social media depression index is introduced that may serve to characterize levels of depression in populations and confirm psychiatric findings and correlate highly with depression statistics reported by the Centers for Disease Control and Prevention (CDC).
Predicting postpartum changes in emotion and behavior via social media
TLDR
The opportunity to use social media to identify mothers at risk of postpartum depression, an underreported health concern among large populations, and to inform the design of low-cost, privacy-sensitive early-warning systems and intervention programs aimed at promoting wellness post partum is motivated by the opportunity.
Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media
TLDR
This paper develops a statistical methodology to infer which individuals could undergo transitions from mental health discourse to suicidal ideation, and utilizes semi-anonymous support communities on Reddit as unobtrusive data sources to infer the likelihood of these shifts.
Automatic construction of travel itineraries using social breadcrumbs
TLDR
It is indicated that high quality itineraries can be automatically constructed from Flickr data, by constructing intra-city travel itineraries automatically by tapping a latent source reflecting geo-temporal breadcrumbs left by millions of tourists.
Mental Health Discourse on reddit: Self-Disclosure, Social Support, and Anonymity
TLDR
These findings reveal, for the first time, the kind of unique information needs that a social media like reddit might be fulfilling when it comes to a stigmatic illness, and expand the understanding of the role of the social web in behavioral therapy.
Finding and assessing social media information sources in the context of journalism
TLDR
This paper develops and investigates new methods for filtering and assessing the verity of sources found through social media by journalists, and takes a human centered design approach to developing a system, SRSR ("Seriously Rapid Source Review"), informed by journalistic practices and knowledge of information production in events.
Understanding Social Media Disclosures of Sexual Abuse Through the Lenses of Support Seeking and Anonymity
TLDR
This paper uses mixed methods to understand abuse-related posts on reddit and uses quantitative methods to investigate the use of "throwaway" accounts, which provide greater anonymity, and reports on factors associated with support seeking and first-time disclosures.
Not All Moods Are Created Equal! Exploring Human Emotional States in Social Media
TLDR
This work identifies more than 200 moods frequent on Twitter, researches a popular representation of human mood landscape, known as the ‘circumplex model’ that characterizes affective experience through two dimensions: valence and activation, and reports on four aspects of mood expression.
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, and develops a series of metrics for evaluating the quality of the sample.
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