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A field trial of privacy nudges for facebook

Published: 26 April 2014 Publication History

Abstract

Anecdotal evidence and scholarly research have shown that Internet users may regret some of their online disclosures. To help individuals avoid such regrets, we designed two modifications to the Facebook web interface that nudge users to consider the content and audience of their online disclosures more carefully. We implemented and evaluated these two nudges in a 6-week field trial with 28 Facebook users. We analyzed participants' interactions with the nudges, the content of their posts, and opinions collected through surveys. We found that reminders about the audience of posts can prevent unintended disclosures without major burden; however, introducing a time delay before publishing users' posts can be perceived as both beneficial and annoying. On balance, some participants found the nudges helpful while others found them unnecessary or overly intrusive. We discuss implications and challenges for designing and evaluating systems to assist users with online disclosures.

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    cover image ACM Conferences
    CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    April 2014
    4206 pages
    ISBN:9781450324731
    DOI:10.1145/2556288
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Publication History

    Published: 26 April 2014

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    Author Tags

    1. behavioral bias
    2. facebook
    3. nudge
    4. online disclosure
    5. privacy
    6. regret
    7. social media
    8. soft-paternalism

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    CHI '14: CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2014
    Ontario, Toronto, Canada

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    CHI '14 Paper Acceptance Rate 465 of 2,043 submissions, 23%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    • (2024)From Awareness to Action: Exploring End-User Empowerment Interventions for Dark Patterns in UXProceedings of the ACM on Human-Computer Interaction10.1145/36373368:CSCW1(1-41)Online publication date: 26-Apr-2024
    • (2024)"I Know I'm Being Observed:" Video Interventions to Educate Users about Targeted Advertising on FacebookProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642885(1-27)Online publication date: 11-May-2024
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    • (2024)Exploring the Design of Technology-Mediated Nudges for Online MisinformationInternational Journal of Human–Computer Interaction10.1080/10447318.2023.2301265(1-28)Online publication date: 17-Jan-2024
    • (2024)Conceal or reveal: (non)disclosure choices in online information sharingBehaviour & Information Technology10.1080/0144929X.2024.2304613(1-25)Online publication date: 29-Jan-2024
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