• Corpus ID: 47884061

University Depression Rankings Using Twitter Data

@inproceedings{ashwinb2015UniversityDR,
  title={University Depression Rankings Using Twitter Data},
  author={Ashwin Baweja ashwinb},
  year={2015}
}
With the rise of social media, university rankings are playing an increasingly influential role in the selection process for prospective university students. Simultaneously, mental health has risen to the forefront of discussions among universities nationwide, in light of calls for increased mental illness awareness. Previous attempts at formulating rankings of schools’ happiness and mental illness have centered around paper or electronic surveys taken by only a small fraction of the student… 

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References

SHOWING 1-10 OF 17 REFERENCES
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.
Towards Assessing Changes in Degree of Depression through Facebook
TLDR
A regression model is developed that predicts users’ degree of depression based on their Facebook status updates, and shows the potential to study factors driving individuals’ level of depression by looking at its most highly correlated language features.
Linguistic Indicators of Severity and Progress in Online Text-based Therapy for Depression
TLDR
An initial investigation into the application of computational linguistic techniques, such as topic and sentiment modelling, to online therapy for depression and anxiety finds that important measures can be predicted with comparable accuracy to face-to-face data, but measures of patient progress are captured only by finergrained lexical features.
Language use of depressed and depression-vulnerable college students
Essays written by currently-depressed, formerly-depressed, and never-depressed college students were examined for differences in language that might shed light on the cognitive operations associated
Predicting military and veteran suicide risk: Cultural aspects
TLDR
The methodology for the Durkheim Project, including IRBapproved protocols for the first two phases and a soon-to-be approved IRB protocol for phase three, is discussed.
Predictors of College Student Suicidal Ideation: Gender Differences.
There is a need to identify students at risk for suicide. Predictors of suicidality were examined separately for men and women in a college health survey of 630 students. Women reported higher levels
Flourish: A Visionary New Understanding of Happiness and Well-being
I have spent my professional life avoiding unguarded promises like this one. I am a research scientist, and a conservative one at that. The appeal of what I write comes from the fact that it is
References
  • Medicine
  • 1971
TLDR
11. Brunck W: Die systematische untersuchung des sprachorgans bei angeborenen gaumendefekte ist wirklich ein wirkliches Problem gegen €” Pneumatisationsverhaitnisse bel gaumenspaltentragem.
US News and World Report’s Annual College Rankings, 2014
  • Web. Accessed 19 Oct
  • 2014
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