TY - GEN
T1 - "Teens are from mars, adults are from venus"
T2 - 8th ACM Web Science Conference, WebSci 2016
AU - Han, Kyungsik
AU - Lee, Sanghack
AU - Jang, Jin Yea
AU - Jung, Yong
AU - Lee, Dongwon
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/5/22
Y1 - 2016/5/22
N2 - We present behavioral characteristics of teens and adults in Instagram and prediction of them from their behaviors. Based on two independently created datasets from user profiles and tags, we identify teens and adults, and carry out comparative analyses on their online behaviors. Our study reveals: (1) significant behavioral differences between two age groups; (2) the empirical evidence of classifying teens and adults with up to 82% accuracy, using traditional predictive models, while two baseline methods achieve 68% at best; and (3) the robustness of our models by achieving 76% - 81% when tested against an independent dataset obtained without using user profiles or tags. Our datasets are available at: https://goo.gl/LqTYNv.
AB - We present behavioral characteristics of teens and adults in Instagram and prediction of them from their behaviors. Based on two independently created datasets from user profiles and tags, we identify teens and adults, and carry out comparative analyses on their online behaviors. Our study reveals: (1) significant behavioral differences between two age groups; (2) the empirical evidence of classifying teens and adults with up to 82% accuracy, using traditional predictive models, while two baseline methods achieve 68% at best; and (3) the robustness of our models by achieving 76% - 81% when tested against an independent dataset obtained without using user profiles or tags. Our datasets are available at: https://goo.gl/LqTYNv.
UR - http://www.scopus.com/inward/record.url?scp=84976393640&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84976393640&partnerID=8YFLogxK
U2 - 10.1145/2908131.2908160
DO - 10.1145/2908131.2908160
M3 - Conference contribution
AN - SCOPUS:84976393640
T3 - WebSci 2016 - Proceedings of the 2016 ACM Web Science Conference
SP - 35
EP - 44
BT - WebSci 2016 - Proceedings of the 2016 ACM Web Science Conference
PB - Association for Computing Machinery, Inc
Y2 - 22 May 2016 through 25 May 2016
ER -