Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach

Author:

Kocoń JanORCID,Figas Alicja,Gruza Marcin,Puchalska Daria,Kajdanowicz Tomasz,Kazienko PrzemysławORCID

Funder

Narodowe Centrum Nauki

Wroclaw University of Science and Technology

Polish Ministry of Science and Higher Education

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference144 articles.

1. Agarwal, A., Xie, B., Vovsha, I., Rambow, O., & Passonneau, R. J. (2011). Sentiment analysis of twitter data. In Proceedings of the workshop on language in social media (pp. 30–38).

2. Modeling annotator perspective and polarized opinions to improve hate speech detection;Akhtar,2020

3. Identifying and measuring annotator bias based on annotators’ demographic characteristics;Al Kuwatly,2020

4. Hate speech detection using transformer ensembles on the HASOC dataset;Alonso,2020

5. Alonso, P., Saini, R., & Kovács, G. (2020b). TheNorth at SemEval-2020 Task 12: Hate speech detection using RoBERTa. In OffensEval 2020: Multilingual offensive language identification in social media organized at SemEval 2020 (task 12).

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