Audience Modeling

Audience Modeling is a theoretical construct in riddle interpretation that specifies the cognitive and contextual attributes of intended recipients to predict how varying levels of background knowledge, inferential ability, and cultural familiarity influence the comprehension and appreciation of riddles.

17

Publications

735

Citations

53

Authors

24

Institutions

Publications per year

2017–2026

4

Authors

53

  1. AT
    Alan T. Murray

    The Ohio State University, United States

    2 publications · 138 citations

    2

    h-index

  2. RH
    Rod Hook

    New York University, United States

    2 publications · 138 citations

    2

    h-index

  3. BD
    B D'Alessandro

    Canfield Scientific (United States), United States

    2 publications · 138 citations

    2

    h-index

  4. SP
    Sandeep Pandey

    Yahoo (United States), United States

    2 publications · 44 citations

    2

    h-index

  5. FP
    Foster Provost

    New York University, United States

    2 publications · 138 citations

    2

    h-index

1–5 of 53

Venues

  1. SSRN Electronic Journal

    Repository · 1 publications · 18 citations

    1

    h-index

  2. American Sociological Review

    ASR · 1 publications · 186 citations

    1

    h-index

  3. Argumentation

    1 publications · 27 citations

    1

    h-index

  4. IEEE Transactions on Broadcasting

    1 publications · 26 citations

    1

    h-index

  5. Journal of Experimental Social Psychology

    1 publications · 40 citations

    1

    h-index

1–5