A Corpus of Turkish Offensive Language on Social Media

Çağrı Çöltekin


Abstract
This paper introduces a corpus of Turkish offensive language. To our knowledge, this is the first corpus of offensive language for Turkish. The corpus consists of randomly sampled micro-blog posts from Twitter. The annotation guidelines are based on a careful review of the annotation practices of recent efforts for other languages. The corpus contains 36 232 tweets sampled randomly from the Twitter stream during a period of 18 months between Apr 2018 to Sept 2019. We found approximately 19 % of the tweets in the data contain some type of offensive language, which is further subcategorized based on the target of the offense. We describe the annotation process, discuss some interesting aspects of the data, and present results of automatically classifying the corpus using state-of-the-art text classification methods. The classifiers achieve 77.3 % F1 score on identifying offensive tweets, 77.9 % F1 score on determining whether a given offensive document is targeted or not, and 53.0 % F1 score on classifying the targeted offensive documents into three subcategories.
Anthology ID:
2020.lrec-1.758
Volume:
Proceedings of the 12th Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
6174–6184
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.758
DOI:
Bibkey:
Cite (ACL):
Çağrı Çöltekin. 2020. A Corpus of Turkish Offensive Language on Social Media. In Proceedings of the 12th Language Resources and Evaluation Conference, pages 6174–6184, Marseille, France. European Language Resources Association.
Cite (Informal):
A Corpus of Turkish Offensive Language on Social Media (Çöltekin, LREC 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.lrec-1.758.pdf