---
_id: '46320'
abstract:
- lang: eng
  text: The identification of coordinated campaigns within Social Media is a complex
    task that is often hindered by missing labels and large amounts of data that have
    to be processed. We propose a new two-phase framework that uses unsupervised stream
    clustering for detecting suspicious trends over time in a first step. Afterwards,
    traditional offline analyses are applied to distinguish between normal trend evolution
    and malicious manipulation attempts. We demonstrate the applicability of our framework
    in the context of the final days of the Brexit in 2019/2020.
author:
- first_name: D
  full_name: Assenmacher, D
  last_name: Assenmacher
- first_name: L
  full_name: Clever, L
  last_name: Clever
- first_name: JS
  full_name: Pohl, JS
  last_name: Pohl
- first_name: Heike
  full_name: Trautmann, Heike
  id: '100740'
  last_name: Trautmann
  orcid: 0000-0002-9788-8282
- first_name: C
  full_name: Grimme, C
  last_name: Grimme
citation:
  ama: 'Assenmacher D, Clever L, Pohl J, Trautmann H, Grimme C. A Two-Phase Framework
    for Detecting Manipulation Campaigns in Social Media. In: Meiselwitz G, ed. <i>Proceedings
    of the International Conference on Human-Computer Interaction (HCII 2020): Social
    Computing and Social Media. Design, Ethics, User Behavior, and Social Network
    Analysis</i>. Springer International Publishing; 2020:201–214. doi:<a href="https://doi.org/10.1007/978-3-030-49570-1_14">10.1007/978-3-030-49570-1_14</a>'
  apa: 'Assenmacher, D., Clever, L., Pohl, J., Trautmann, H., &#38; Grimme, C. (2020).
    A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media. In
    G. Meiselwitz (Ed.), <i>Proceedings of the International Conference on Human-Computer
    Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User
    Behavior, and Social Network Analysis</i> (pp. 201–214). Springer International
    Publishing. <a href="https://doi.org/10.1007/978-3-030-49570-1_14">https://doi.org/10.1007/978-3-030-49570-1_14</a>'
  bibtex: '@inproceedings{Assenmacher_Clever_Pohl_Trautmann_Grimme_2020, place={Cham},
    title={A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media},
    DOI={<a href="https://doi.org/10.1007/978-3-030-49570-1_14">10.1007/978-3-030-49570-1_14</a>},
    booktitle={Proceedings of the International Conference on Human-Computer Interaction
    (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior,
    and Social Network Analysis}, publisher={Springer International Publishing}, author={Assenmacher,
    D and Clever, L and Pohl, JS and Trautmann, Heike and Grimme, C}, editor={Meiselwitz,
    G}, year={2020}, pages={201–214} }'
  chicago: 'Assenmacher, D, L Clever, JS Pohl, Heike Trautmann, and C Grimme. “A Two-Phase
    Framework for Detecting Manipulation Campaigns in Social Media.” In <i>Proceedings
    of the International Conference on Human-Computer Interaction (HCII 2020): Social
    Computing and Social Media. Design, Ethics, User Behavior, and Social Network
    Analysis</i>, edited by G Meiselwitz, 201–214. Cham: Springer International Publishing,
    2020. <a href="https://doi.org/10.1007/978-3-030-49570-1_14">https://doi.org/10.1007/978-3-030-49570-1_14</a>.'
  ieee: 'D. Assenmacher, L. Clever, J. Pohl, H. Trautmann, and C. Grimme, “A Two-Phase
    Framework for Detecting Manipulation Campaigns in Social Media,” in <i>Proceedings
    of the International Conference on Human-Computer Interaction (HCII 2020): Social
    Computing and Social Media. Design, Ethics, User Behavior, and Social Network
    Analysis</i>, 2020, pp. 201–214, doi: <a href="https://doi.org/10.1007/978-3-030-49570-1_14">10.1007/978-3-030-49570-1_14</a>.'
  mla: 'Assenmacher, D., et al. “A Two-Phase Framework for Detecting Manipulation
    Campaigns in Social Media.” <i>Proceedings of the International Conference on
    Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design,
    Ethics, User Behavior, and Social Network Analysis</i>, edited by G Meiselwitz,
    Springer International Publishing, 2020, pp. 201–214, doi:<a href="https://doi.org/10.1007/978-3-030-49570-1_14">10.1007/978-3-030-49570-1_14</a>.'
  short: 'D. Assenmacher, L. Clever, J. Pohl, H. Trautmann, C. Grimme, in: G. Meiselwitz
    (Ed.), Proceedings of the International Conference on Human-Computer Interaction
    (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior,
    and Social Network Analysis, Springer International Publishing, Cham, 2020, pp.
    201–214.'
date_created: 2023-08-04T07:30:29Z
date_updated: 2023-10-16T12:59:28Z
department:
- _id: '34'
- _id: '819'
doi: 10.1007/978-3-030-49570-1_14
editor:
- first_name: G
  full_name: Meiselwitz, G
  last_name: Meiselwitz
language:
- iso: eng
page: 201–214
place: Cham
publication: 'Proceedings of the International Conference on Human-Computer Interaction
  (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and
  Social Network Analysis'
publication_identifier:
  isbn:
  - 978-3-030-49570-1
publisher: Springer International Publishing
status: public
title: A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media
type: conference
user_id: '15504'
year: '2020'
...