Ranking Right-Wing Extremist Social Media Profiles by Similarity to Democratic and Extremist Groups
Matthias Hartung, Roman Klinger, Franziska Schmidtke, Lars Vogel
Abstract
Social media are used by an increasing number of political actors. A small subset of these is interested in pursuing extremist motives such as mobilization, recruiting or radicalization activities. In order to counteract these trends, online providers and state institutions reinforce their monitoring efforts, mostly relying on manual workflows. We propose a machine learning approach to support manual attempts towards identifying right-wing extremist content in German Twitter profiles. Based on a fine-grained conceptualization of right-wing extremism, we frame the task as ranking each individual profile on a continuum spanning different degrees of right-wing extremism, based on a nearest neighbour approach. A quantitative evaluation reveals that our ranking model yields robust performance (up to 0.81 F1 score) when being used for predicting discrete class labels. At the same time, the model provides plausible continuous ranking scores for a small sample of borderline cases at the division of right-wing extremism and New Right political movements.- Anthology ID:
- W17-5204
- Volume:
- Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
- Month:
- September
- Year:
- 2017
- Address:
- Copenhagen, Denmark
- Editors:
- Alexandra Balahur, Saif M. Mohammad, Erik van der Goot
- Venue:
- WASSA
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 24–33
- Language:
- URL:
- https://aclanthology.org/W17-5204
- DOI:
- 10.18653/v1/W17-5204
- Cite (ACL):
- Matthias Hartung, Roman Klinger, Franziska Schmidtke, and Lars Vogel. 2017. Ranking Right-Wing Extremist Social Media Profiles by Similarity to Democratic and Extremist Groups. In Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 24–33, Copenhagen, Denmark. Association for Computational Linguistics.
- Cite (Informal):
- Ranking Right-Wing Extremist Social Media Profiles by Similarity to Democratic and Extremist Groups (Hartung et al., WASSA 2017)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/W17-5204.pdf