---
_id: '6947'
article_type: original
author:
- first_name: Gillian
  full_name: Kant, Gillian
  last_name: Kant
- first_name: Christoph
  full_name: Weisser, Christoph
  id: '264138'
  last_name: Weisser
  orcid: 0000-0003-0616-1027
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-0616-1027/work/216471732
- first_name: Mattias
  full_name: Luber, Mattias
  last_name: Luber
- first_name: Levin
  full_name: Wiebelt, Levin
  last_name: Wiebelt
- first_name: 'Krisztina '
  full_name: 'Kis-Katos, Krisztina '
  last_name: Kis-Katos
- first_name: Benjamin
  full_name: Säfken, Benjamin
  last_name: Säfken
citation:
  alphadin: '<span style="font-variant:small-caps;">Kant, Gillian</span> ; <span style="font-variant:small-caps;">Weisser,
    Christoph</span> ; <span style="font-variant:small-caps;">Luber, Mattias</span>
    ; <span style="font-variant:small-caps;">Wiebelt, Levin</span> ; <span style="font-variant:small-caps;">Kis-Katos,
    Krisztina </span> ; <span style="font-variant:small-caps;">Säfken, Benjamin</span>:
    Iterative Topic Model Filtering to Detect Conspiracy Theories on Twitter. In:
    <i>International Journal of Data Science and Analytics</i>, Springer (2022)'
  ama: Kant G, Weisser C, Luber M, Wiebelt L, Kis-Katos K, Säfken B. Iterative Topic
    Model Filtering to Detect Conspiracy Theories on Twitter. <i>International Journal
    of Data Science and Analytics</i>. 2022. doi:<a href="https://doi.org/10.1007/s41060-022-00321-4">10.1007/s41060-022-00321-4</a>
  apa: Kant, G., Weisser, C., Luber, M., Wiebelt, L., Kis-Katos, K., &#38; Säfken,
    B. (2022). Iterative Topic Model Filtering to Detect Conspiracy Theories on Twitter.
    <i>International Journal of Data Science and Analytics</i>. <a href="https://doi.org/10.1007/s41060-022-00321-4">https://doi.org/10.1007/s41060-022-00321-4</a>
  bibtex: '@article{Kant_Weisser_Luber_Wiebelt_Kis-Katos_Säfken_2022, title={Iterative
    Topic Model Filtering to Detect Conspiracy Theories on Twitter}, DOI={<a href="https://doi.org/10.1007/s41060-022-00321-4">10.1007/s41060-022-00321-4</a>},
    journal={International Journal of Data Science and Analytics}, publisher={Springer},
    author={Kant, Gillian and Weisser, Christoph and Luber, Mattias and Wiebelt, Levin
    and Kis-Katos, Krisztina  and Säfken, Benjamin}, year={2022} }'
  chicago: Kant, Gillian, Christoph Weisser, Mattias Luber, Levin Wiebelt, Krisztina  Kis-Katos,
    and Benjamin Säfken. “Iterative Topic Model Filtering to Detect Conspiracy Theories
    on Twitter.” <i>International Journal of Data Science and Analytics</i>, 2022.
    <a href="https://doi.org/10.1007/s41060-022-00321-4">https://doi.org/10.1007/s41060-022-00321-4</a>.
  ieee: G. Kant, C. Weisser, M. Luber, L. Wiebelt, K. Kis-Katos, and B. Säfken, “Iterative
    Topic Model Filtering to Detect Conspiracy Theories on Twitter,” <i>International
    Journal of Data Science and Analytics</i>, 2022.
  mla: Kant, Gillian, et al. “Iterative Topic Model Filtering to Detect Conspiracy
    Theories on Twitter.” <i>International Journal of Data Science and Analytics</i>,
    Springer, 2022, doi:<a href="https://doi.org/10.1007/s41060-022-00321-4">10.1007/s41060-022-00321-4</a>.
  short: G. Kant, C. Weisser, M. Luber, L. Wiebelt, K. Kis-Katos, B. Säfken, International
    Journal of Data Science and Analytics (2022).
date_created: 2026-06-01T13:58:07Z
date_updated: 2026-06-02T09:01:44Z
doi: 10.1007/s41060-022-00321-4
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
publication: International Journal of Data Science and Analytics
publication_identifier:
  eissn:
  - 2364-4168
  issn:
  - 2364-415X
publication_status: published
publisher: Springer
quality_controlled: '1'
status: public
title: Iterative Topic Model Filtering to Detect Conspiracy Theories on Twitter
type: journal_article
user_id: '220548'
year: '2022'
...