TY  - CHAP
AB  - 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.
KW  - extremism monitoring
KW  - classification
KW  - social media
LA  - eng
PY  - 2017
SP  - 320-325
T3  - Natural Language Processing and Information Systems: 22nd International Conference on Applications of Natural Language to Information Systems (NLDB 2017)
TI  - Identifying Right-Wing Extremism in German Twitter Profiles: a Classification Approach
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-29093365
Y2  - 2024-11-22T03:58:53
ER  -