TY - GEN
T1 - Your age is no secret
T2 - 10th International Conference on Web and Social Media, ICWSM 2016
AU - Zhang, Jinxue
AU - Hu, Xia
AU - Zhang, Yanchao
AU - Liu, Huan
N1 - Funding Information: We truly appreciate the anonymous reviewers for their constructive comments. This work is supported by ARO through W911NF-15-1-0328. Publisher Copyright: © Copyright 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. Copyright: Copyright 2016 Elsevier B.V., All rights reserved.
PY - 2016
Y1 - 2016
N2 - Microblogging systems such as Twitter have seen explosive use in public and private sectors. The age information of microbloggers can be very useful for many applications such as viral marketing and social studies/surveys. Current microblogging systems, however, have very sparse age information. In this paper, we present MAIF, a novel framework that explores public content and interaction information in microblogging systems to explore the hidden ages of microbloggers. We thoroughly evaluate the accuracy of MAIF with a real-world dataset with 54, 879 Twitter users. Our results show that MAIF can achieve up to 81.38% inference accuracy and outperforms the state of the art by 9.15%. We also discuss some countermeasures to alleviate the possible privacy concerns caused by MAIF.
AB - Microblogging systems such as Twitter have seen explosive use in public and private sectors. The age information of microbloggers can be very useful for many applications such as viral marketing and social studies/surveys. Current microblogging systems, however, have very sparse age information. In this paper, we present MAIF, a novel framework that explores public content and interaction information in microblogging systems to explore the hidden ages of microbloggers. We thoroughly evaluate the accuracy of MAIF with a real-world dataset with 54, 879 Twitter users. Our results show that MAIF can achieve up to 81.38% inference accuracy and outperforms the state of the art by 9.15%. We also discuss some countermeasures to alleviate the possible privacy concerns caused by MAIF.
UR - http://www.scopus.com/inward/record.url?scp=84979642389&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84979642389&partnerID=8YFLogxK
M3 - Conference contribution
T3 - Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016
SP - 476
EP - 485
BT - Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016
PB - AAAI press
Y2 - 17 May 2016 through 20 May 2016
ER -