Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages
Abusive language is a growing concern in many social media platforms. Repeated exposure to abusive speech has created physiological effects on the target users. Thus, the problem of abusive language should be addressed in all forms for online peace and safety. While extensive research exists in abusive speech detection, most studies focus on English. Recently, many smearing incidents have occurred in India, which provoked diverse forms of abusive speech in online space in various languages based on the geographic location. Therefore it is essential to deal with such malicious content. In this paper, to bridge the gap, we demonstrate a large-scale analysis of multilingual abusive speech in In- doi
- 10.1145/3511095.3531277
- name
- Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages
- source
- acm-html-via-r.jina.ai
- acm_url
- https://dl.acm.org/doi/10.1145/3511095.3531277
- authors
- Mithun Das, Somnath Banerjee, Animesh Mukherjee
- doi_url
- https://doi.org/10.1145/3511095.3531277
- license
- © 2022 Association for Computing Machinery.
- summary
- Abusive language is a growing concern in many social media platforms. Repeated exposure to abusive speech has created physiological effects on the target users. Thus, the problem of abusive language should be addressed in all forms for online peace and safety. While extensive research exists in abusive speech detection, most studies focus on English. Recently, many smearing incidents have occurred in India, which provoked diverse forms of abusive speech in online space in various languages based on the geographic location. Therefore it is essential to deal with such malicious content. In this paper, to bridge the gap, we demonstrate a large-scale analysis of multilingual abusive speech in In
- keywords
- Abusive language, multilingual, detection, social media
- source_pdf
- HT-2022_39_31_3511095/3511095.3531277.pdf
- import_kind
- full_text
- open_access
- false
- displayAuthor
- Mithun Das, Somnath Banerjee, Animesh Mukherjee
- displayPublishTime
- 2022-06-28
- source_attribution
- Formatting converted from the ACM version of record under supplied ACM publication authorization.
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