A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media

D Assenmacher; L Clever; JS Pohl; H Trautmann; C Grimme

doi:10.1007/978-3-030-49570-1_14

A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media

D Assenmacher, L Clever, JS Pohl, H Trautmann, C Grimme

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

7 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis
Subtitle of host publication	12th International Conference, SCSM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part I
Editors	G Meiselwitz
Place of Publication	Cham
Publisher	Springer
Pages	201-214
Number of pages	14
ISBN (Print)	978-3-030-49570-1
DOIs	https://doi.org/10.1007/978-3-030-49570-1_14
Publication status	Published - 2020
Externally published	Yes
Event	12th International Conference on Social Computing and Social Media, SCSM 2020 - Virtual Event Duration: 19 Jul 2020 → 24 Jul 2020 Conference number: 12 http://2020.hci.international/scsm.html

Publication series

Name	Lecture Notes in Computer Science book series
Volume	12194

Conference

Conference	12th International Conference on Social Computing and Social Media, SCSM 2020
Abbreviated title	SCSM 2020
City	Virtual Event
Period	19/07/20 → 24/07/20
Other	Held as Part of the 22nd HCI International Conference, HCII 2020
Internet address	http://2020.hci.international/scsm.html

Access to Document

10.1007/978-3-030-49570-1_14

Cite this

Assenmacher, D., Clever, L., Pohl, JS., Trautmann, H., & Grimme, C. (2020). A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media. In G. Meiselwitz (Ed.), Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis: 12th International Conference, SCSM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part I (pp. 201-214). (Lecture Notes in Computer Science book series; Vol. 12194). Springer. https://doi.org/10.1007/978-3-030-49570-1_14

Assenmacher, D ; Clever, L ; Pohl, JS et al. / A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media. Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis: 12th International Conference, SCSM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part I. editor / G Meiselwitz. Cham : Springer, 2020. pp. 201-214 (Lecture Notes in Computer Science book series).

@inproceedings{67cf594a6ce04fcd94c2ad286305a160,

title = "A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media",

abstract = "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 = "D Assenmacher and L Clever and JS Pohl and H Trautmann and C Grimme",

note = "Publication status: Published; 12th International Conference on Social Computing and Social Media, SCSM 2020, SCSM 2020 ; Conference date: 19-07-2020 Through 24-07-2020",

year = "2020",

doi = "10.1007/978-3-030-49570-1_14",

language = "English",

isbn = "978-3-030-49570-1",

series = "Lecture Notes in Computer Science book series",

publisher = "Springer",

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Assenmacher, D, Clever, L, Pohl, JS, Trautmann, H & Grimme, C 2020, A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media. in G Meiselwitz (ed.), Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis: 12th International Conference, SCSM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part I. Lecture Notes in Computer Science book series, vol. 12194, Springer, Cham, pp. 201-214, 12th International Conference on Social Computing and Social Media, SCSM 2020, Virtual Event, 19/07/20. https://doi.org/10.1007/978-3-030-49570-1_14

A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media. / Assenmacher, D; Clever, L; Pohl, JS et al.
Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis: 12th International Conference, SCSM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part I. ed. / G Meiselwitz. Cham: Springer, 2020. p. 201-214 (Lecture Notes in Computer Science book series; Vol. 12194).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Grimme, C

N1 - Conference code: 12

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-030-49570-1_14

DO - 10.1007/978-3-030-49570-1_14

M3 - Conference contribution

SN - 978-3-030-49570-1

T3 - Lecture Notes in Computer Science book series

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BT - Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis

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Assenmacher D, Clever L, Pohl JS, Trautmann H, Grimme C. A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media. In Meiselwitz G, editor, Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis: 12th International Conference, SCSM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part I. Cham: Springer. 2020. p. 201-214. (Lecture Notes in Computer Science book series). doi: 10.1007/978-3-030-49570-1_14

A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media

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