User Preferences for Interdependent Privacy Preservation Strategies in Social Media

Author:

Necaise Aaron1ORCID,Tanni Tangila Islam1ORCID,Williams Aneka1ORCID,Solihin Yan1ORCID,Kapadia Apu2ORCID,Amon Mary Jean1ORCID

Affiliation:

1. University of Central Florida, Orlando, FL, USA

2. Indiana University Bloomington, Bloomington, IN, USA

Abstract

Interdependent privacy (IDP) violations occur when users share personal information about others without permission, resulting in potential embarrassment, reputation loss, or harassment. There are several strategies that can be applied to protect IDP, but little is known regarding how social media users perceive IDP threats or how they prefer to respond to them. We utilized a mixed-method approach with a replication study to examine user beliefs about various government-, platform-, and user-level strategies for managing IDP violations. Participants reported that IDP represented a 'serious' online threat, and identified themselves as primarily responsible for responding to violations. IDP strategies that felt more familiar and provided greater perceived control over violations (e.g., flagging, blocking, unfriending) were rated as more effective than platform or government driven interventions. Furthermore, we found users were more willing to share on social media if they perceived their interactions as protected. Findings are discussed in relation to control paradox theory.

Funder

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Reference148 articles.

1. Alessandro Acquisti , Laura Brandimarte , and George Loewenstein . 2015. Privacy and human behavior in the age of information. Science 347, 6221 ( 2015 ), 509--514. Alessandro Acquisti, Laura Brandimarte, and George Loewenstein. 2015. Privacy and human behavior in the age of information. Science 347, 6221 (2015), 509--514.

2. Paul Allison . 1999. Multiple regression: A primer . Pine Forge Press . Paul Allison. 1999. Multiple regression: A primer. Pine Forge Press.

3. Irwin Altman. 1975. The environment and social behavior: privacy personal space territory and crowding. (1975). Irwin Altman. 1975. The environment and social behavior: privacy personal space territory and crowding. (1975).

4. Influencing Photo Sharing Decisions on Social Media: A Case of Paradoxical Findings

5. Mary Jean Amon , Aaron Necaise , Nika Kartvelishvili , Aneka Williams , Yan Solihin , and Apu Kapadia . 2023. Modeling User Characteristics Associated with Interdependent Privacy Perceptions on Social Media. ACM Transactions on Computer-Human Interaction ( 2023 ). Mary Jean Amon, Aaron Necaise, Nika Kartvelishvili, Aneka Williams, Yan Solihin, and Apu Kapadia. 2023. Modeling User Characteristics Associated with Interdependent Privacy Perceptions on Social Media. ACM Transactions on Computer-Human Interaction (2023).

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3