TY - GEN
T1 - Studying anonymous health issues and substance use on college campuses with Yik Yak
AU - Koratana, Animesh
AU - Dredze, Mark
AU - Chisolm, Margaret S.
AU - Johnson, Matthew W.
AU - Paul, Michael J.
N1 - Publisher Copyright:
Copyright © 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2016
Y1 - 2016
N2 - This study investigates the public health intelligence utility of Yik Yak, a social media platform that allows users to anonymously post and view messages within precise geographic locations. Our dataset contains 122,179 "yaks" collected from 120 college campuses across the United States during 2015. We first present an exploratory analysis of the topics commonly discussed in Yik Yak, clarifying the health issues for which this may serve as a source of information. We then present an in-depth content analysis of data describing substance use, an important public health issue that is not often discussed in public social media, but commonly discussed on Yik Yak under the cloak of anonymity.
AB - This study investigates the public health intelligence utility of Yik Yak, a social media platform that allows users to anonymously post and view messages within precise geographic locations. Our dataset contains 122,179 "yaks" collected from 120 college campuses across the United States during 2015. We first present an exploratory analysis of the topics commonly discussed in Yik Yak, clarifying the health issues for which this may serve as a source of information. We then present an in-depth content analysis of data describing substance use, an important public health issue that is not often discussed in public social media, but commonly discussed on Yik Yak under the cloak of anonymity.
UR - http://www.scopus.com/inward/record.url?scp=85022057449&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85022057449&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85022057449
T3 - AAAI Workshop - Technical Report
SP - 778
EP - 782
BT - WS-16-01
PB - AI Access Foundation
T2 - 30th AAAI Conference on Artificial Intelligence, AAAI 2016
Y2 - 12 February 2016 through 13 February 2016
ER -