Topic Bias Control

Topic Bias Control is a methodological framework in authorship attribution research designed to mitigate confounding effects of textual topic variation by isolating stylistic features indicative of authorship from those driven by content semantics.

11

Publications

440

Citations

28

Authors

20

Institutions

Publications per year

2017–2026

6

Authors

28

  1. XG
    Xiaobo Guo

    Dartmouth College, United States

    1 publications · 16 citations

    1

    h-index

  2. CK
    Corina Koolen

    University of Amsterdam, Netherlands

    1 publications · 46 citations

    1

    h-index

  3. BM
    Brian Martin

    University of Wollongong, Australia

    1 publications · 23 citations

    1

    h-index

  4. ME
    Margaret E. Roberts

    University of California San Diego, United States

    1 publications · 92 citations

    1

    h-index

  5. PD
    Paul D. Ji

    University of Oxford, United Kingdom

    1 publications · 20 citations

    1

    h-index

1–5 of 28

Venues

  1. TUbilio (Technical University of Darmstadt)

    Repository · 1 publications · 13 citations

    1

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 36 citations

    1

    h-index

  3. Procedia Computer Science

    1 publications · 58 citations

    1

    h-index

  4. IEEE/WIC/ACM International Conference on Web Intelligence

    Conference · 1 publications · 16 citations

    1

    h-index

  5. International Conference on Computational Linguistics

    Conference · 1 publications · 14 citations

    1

    h-index

1–5