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Disclosure, Privacy, and Stigma on Social Media
ACM Transactions on Computer-Human Interaction ( IF 4.8 ) Pub Date : 2020-06-01 , DOI: 10.1145/3386600
Nazanin Andalibi 1
Affiliation  

Disclosures of distress and stigma on identified social media can be beneficial. Yet, many who may benefit from such disclosures do not engage in them. I examine factors that inform decisions to not disclose stigmatized experiences on identified social media. I conducted in-depth interviews with women in the US who used social media, had experienced pregnancy loss, and had not disclosed about their loss on identified social media. I detail six types of factors related to the self, audience, network, society, platform, and temporality that contribute to non-disclosure decisions. I show that the Disclosure Decision-Making (DDM) framework introduced in prior work explaining disclosures when they do occur, also explains non-disclosure decisions on social media. I show how DDM builds from and bridges prior privacy theories, namely, Communication Privacy Management and Contextual Integrity. I discuss design implications around removing barriers to disclosure to facilitate beneficial disclosures and reduce stigma.

中文翻译:

社交媒体上的披露、隐私和污名

在已识别的社交媒体上披露痛苦和污名可能是有益的。然而,许多可能从此类披露中受益的人并没有参与其中。我研究了决定在已识别的社交媒体上不披露污名化经历的因素。我对使用社交媒体的美国女性进行了深入采访,她们经历过流产,并且没有在已确定的社交媒体上披露她们的流产。我详细介绍了与自我、受众、网络、社会、平台和时间性相关的六类因素,这些因素有助于做出保密决策。我表明,在之前的工作中引入的披露决策(DDM)框架解释了披露何时发生,也解释了社交媒体上的不披露决策。我展示了 DDM 如何构建和连接先前的隐私理论,即,通信隐私管理和上下文完整性。我讨论了围绕消除披露障碍以促进有益披露和减少污名的设计含义。
更新日期:2020-06-01
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