Home // HUSO 2023, The Ninth International Conference on Human and Social Analytics // View article
Authors:
Yasuhiko Watanabe
Toshiki Nakano
Hiromu Nishimura
Yoshihiro Okada
Keywords: personal information; Twitter; SNS; privacy risk; one sided follows; 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 one sided follow relations between the submitters of these 318 tweets and users who gave likes to them. The results of our survey showed that giving likes to tweets promising to disclose submitter's personal information is not a sufficient trigger to get to follow users. Submitters were careful to follow unfamiliar users even if the users followed them and gave likes to their tweets. Also, users were careful to follow unfamiliar users even if the users followed them and gave likes to the same tweets.
Pages: 9 to 14
Copyright: Copyright (c) IARIA, 2023
Publication date: March 13, 2023
Published in: conference
ISSN: 2519-8351
ISBN: 978-1-68558-066-7
Location: Barcelona, Spain
Dates: from March 13, 2023 to March 17, 2023