Audience Selection

Audience Selection is a privacy control mechanism that enables users to specify the intended recipients or viewer groups for their shared data or content, distinguishing it from broader access management by focusing on socially meaningful groupings rather than technical permissions alone.

28

Publications

1.4K

Citations

69

Authors

39

Institutions

Publications per year

2017–2026

9

Authors

69

  1. FP
    Foster Provost

    New York University, United States

    2 publications · 138 citations

    2

    h-index

  2. AT
    Alan T. Murray

    The Ohio State University, United States

    2 publications · 138 citations

    2

    h-index

  3. VJ
    Vanja Josifovski

    Yahoo (United States), United States

    2 publications · 44 citations

    2

    h-index

  4. DR
    David R. Prince

    2 publications · 54 citations

    2

    h-index

  5. RH
    Rod Hook

    New York University, United States

    2 publications · 138 citations

    2

    h-index

1–5 of 69

Venues

  1. Museum Management and Curatorship

    2 publications · 54 citations

    2

    h-index

  2. SSRN Electronic Journal

    Repository · 2 publications · 35 citations

    2

    h-index

  3. Aslib Journal of Information Management

    AJIM · 1 publications · 22 citations

    1

    h-index

  4. Symposium On Usable Privacy and Security

    Conference · 1 publications · 14 citations

    1

    h-index

  5. Information Technologies and Learning Tools

    ITSO · 1 publications · 12 citations

    1

    h-index

1–5