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Title:Visual models of privacy experiences on Facebook
Author(s):Petelka, Justin; Snyder, Jaime
Subject(s):Human-computer interaction (HCI)
Information visualization
Social networks
Usable privacy
Privacy controls
Abstract:In spite of efforts by social media designers to help users understand their privacy settings, research has shown that there is a disconnect between how users understand and make choices related to privacy and how digital infrastructures manage access to posts. Our project uses Facebook posts to investigate how people might visually represent their lived experiences of privacy concern. We utilize a participatory design method using paper tokens to help people sketch these experiences. From these preliminary sessions, our participants surfaced the costs of a lack of support for specific privacy tasks, such as coordination between friends about content visibility. Participants also suggested that visualizing their social network affords tasks beyond privacy, such as professional networking.
Issue Date:2019-03-15
Series/Report:iConference 2019 Proceedings
Genre:Conference Poster
Rights Information:Copyright 2019 Justin Petelka and Jaime Snyder
Date Available in IDEALS:2019-03-22

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