• Corpus ID: 47884061

University Depression Rankings Using Twitter Data

@inproceedings{ashwinb2015UniversityDR,
  title={University Depression Rankings Using Twitter Data},
  author={Ashwin Baweja ashwinb},
  year={2015}
}

• Ashwin Baweja ashwinb
• Published 2015
• Education

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 body. Our work posits a new methodology for constructing college depression rankings through analysis of the language used by students on social media platforms. By using a corpus of 78 million Tweets generated from September 2014 to March 2015 and leveraging existing research into depression language analysis, we produce a set of meaningful rankings comparing depression among schools.