Home // INTERNET 2016, The Eighth International Conference on Evolving Internet // View article

Detection of Tweets Where Birthdays are Revealed to Other People

Authors:
Yasuhiko Watanabe
Naohiro Miyagi
Kenji Yasuda
Ryo Nishimura
Yoshihiro Okada

Keywords: birthday; personal information; Twitter; SNS; privacy risk.

Abstract:
These days, many people use a social networking service (SNS). When we use SNSs, we carefully protect the privacy of personal information: name, age, gender, address, birthday, and so on. However, we often reveal birthdays on SNS, not only ours but also of others. Birthday information can threaten our privacy and security when combined with other personal information. In this study, we investigated tweets where birthdays were revealed to other people. We collected 1,000 Japanese tweets including word ``tanjyobi (birthday)'' and found about 30% of them were tweets where birthdays were revealed to other people. Furthermore, 70% of tweets where birthdays were revealed to other people were ones where receivers' birthdays were revealed. We obtained 87% accuracy when we applied support vector machine (SVM) machine learning techniques to classify tweets including word ``tanjyobi (birthday)'' into ones revealing birthdays of senders, receivers, and others. However, the recall rate of tweets where senders' birthdays were revealed was only 20%.

Pages: 30 to 35

Copyright: Copyright (c) IARIA, 2016

Publication date: November 13, 2016

Published in: conference

ISSN: 2308-443X

ISBN: 978-1-61208-516-6

Location: Barcelona, Spain

Dates: from November 13, 2016 to November 17, 2016