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

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


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.



Publication type
Forschungsartikel in Sammelband (Konferenz)

Peer reviewed
Yes

Publication status
Published

Year
2020

Conference
International Conference on Human-Computer Interaction

Venue
Copenhagen, Denmark

Book title
International Conference on Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis

Editor
Meiselwitz G

Pages range
201-214

Publisher
Springer International Publishing

Place
Cham

Language
English

ISBN
978-3-030-49570-1

DOI