833 citations · 4.3k across the 84 of their papers we have counts for
9 papers · 1 filter
Forecasting the onset and course of mental illness with Twitter data
Andrew G. Reece, Andrew J. Reagan, Katharina L. M. Lix +3
We developed computational models to predict the emergence of depression and Post-Traumatic Stress Disorder in Twitter users. Twitter data and details of depression history were co…
Instagram photos reveal predictive markers of depression
Andrew G. Reece, Christopher M. Danforth
Using Instagram data from 166 individuals, we applied machine learning tools to successfully identify markers of depression. Statistical features were computationally extracted fro…
Public Opinion Polling with Twitter
Emily M. Cody, Andrew J. Reagan, Peter Sheridan Dodds +1
Solicited public opinion surveys reach a limited subpopulation of willing participants and are expensive to conduct, leading to poor time resolution and a restricted pool of expert…
Simon's fundamental rich-get-richer model entails a dominant first-mover advantage
Peter Sheridan Dodds, David Rushing Dewhurst, Fletcher F. Hazlehurst +5
Herbert Simon's classic rich-get-richer model is one of the simplest empirically supported mechanisms capable of generating heavy-tail size distributions for complex systems. Simon…
The emotional arcs of stories are dominated by six basic shapes
Andrew J. Reagan, Lewis Mitchell, Dilan Kiley +2
Advances in computing power, natural language processing, and digitization of text now make it possible to study a culture's evolution through its texts using a "big data" lens. Ou…
Divergent discourse between protests and counter-protests: #BlackLivesMatter and #AllLivesMatter
Ryan J. Gallagher, Andrew J. Reagan, Christopher M. Danforth +1
Since the shooting of Black teenager Michael Brown by White police officer Darren Wilson in Ferguson, Missouri, the protest hashtag #BlackLivesMatter has amplified critiques of ext…