Feed Curation

Feed Curation is an algorithmic framework within the domain of social computing that systematically selects, ranks, and personalizes content for user consumption in online platforms by leveraging behavioral, contextual, and relational data to optimize engagement and relevance.

14

Publications

1.9K

Citations

43

Authors

17

Institutions

Publications per year

2017–2026

5

Authors

43

  1. CS
    Christian Sandvig

    University of Illinois Urbana-Champaign, United States

    4 publications · 1.1K citations

    4

    h-index

  2. ME
    Motahhare Eslami

    Carnegie Mellon University, United States

    4 publications · 1.1K citations

    4

    h-index

  3. KH
    Kevin Hamilton

    University of Hawaiʻi at Mānoa, United States

    4 publications · 1.1K citations

    4

    h-index

  4. KK
    Karrie Karahalios

    University of Illinois Urbana-Champaign, United States

    4 publications · 1.1K citations

    4

    h-index

  5. KV
    Kristen Vaccaro

    University of Illinois Urbana-Champaign, United States

    2 publications · 954 citations

    2

    h-index

1–5 of 43

Venues

  1. Digital Journalism

    2 publications · 295 citations

    2

    h-index

  2. Journalism Studies

    1 publications · 39 citations

    1

    h-index

  3. IEEE/ACM Transactions on Networking

    TON · 1 publications · 26 citations

    1

    h-index

  4. Information Systems Research

    ISR · 1 publications · 50 citations

    1

    h-index

  5. Journal of Data and Information Quality

    JDIQ · 1 publications · 16 citations

    1

    h-index

1–5