Home // HUSO 2022, The Eighth International Conference on Human and Social Analytics // View article
Authors:
Yasuhiko Watanabe
Toshiki Nakano
Hiromu Nishimura
Yoshihiro Okada
Keywords: personal information; Twitter; SNS; mutual follows; privacy risk; unreal name account user.
Abstract:
Nowadays, many people use a Social Networking Service (SNS). Most SNS users are careful in protecting the privacy of personal information: name, age, gender, address, telephone number, birthday, etc. However, some SNS users disclose their personal information that can threaten their privacy and security even if they use unreal name accounts. In this study, we investigated Twitter users who gave likes to tweets disclosing submitters' personal information that potentially threatened submitters' privacy and security. We collected 318 tweets promising to disclose submitters' personal information. Then, we investigated the relations between the submitters of these 318 tweets and users who gave likes to them. The results of our survey showed that the submitters followed most of the users mutually before the users gave likes to tweets promising to disclose submitters' personal information. On the other hand, most of the users did not follow each other although they followed the same submitters and gave likes to their tweets.
Pages: 10 to 15
Copyright: Copyright (c) IARIA, 2022
Publication date: May 22, 2022
Published in: conference
ISSN: 2519-8351
ISBN: 978-1-61208-979-9
Location: Venice, Italy
Dates: from May 22, 2022 to May 26, 2022