Paper Info
Title
Identifying Right-Wing Extremism in German Twitter Profiles: A Classification Approach.
Abstract
Social media platforms are used by an increasing number of extremist political actors for mobilization, recruiting or radicalization purposes. We propose a machine learning approach to support manual monitoring aiming at identifying right-wing extremist content in German Twitter profiles. We frame the task as profile classification, based on textual cues, traits of emotionality in language use, and linguistic patterns. A quantitative evaluation reveals a limited precision of 25% with a close-to-perfect recall of 95%. This leads to a considerable reduction of the workload of human analysts in detecting right-wing extremist users.
Year
DOI
Venue
2017
10.1007/978-3-319-59569-6_40
Lecture Notes in Computer Science
Keywords
Field
DocType
Extremism monitoring,Classification,Social media
Data science,World Wide Web,Radicalization,Social media,Workload,Computer science,Artificial intelligence,Natural language processing,Recall,Politics,German
Conference
Volume
ISSN
Citations 
10260
0302-9743
0
PageRank 
References 
Authors
0.34
6
4
Name
Order
Citations
PageRank
Matthias Hartung111611.76
Roman Klinger220129.85
Franziska Schmidtke300.34
Lars Vogel400.34