Faux Hate: unravelling the web of fake narratives in spreading hateful stories: a multi-label and multi-class dataset in cross-lingual Hindi-English code-mixed text
- 16 April 2024
- journal article
- research article
- Published by Springer Nature in Language Resources and Evaluation
- Vol. 59 (1) , 477-508
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- Fighting hate speech from bilingual hinglish speaker’s perspective, a transformer- and translation-based approach.Social Network Analysis and Mining, 2022
- Combating the infodemic: COVID-19 induced fake news recognition in social media networksComplex & Intelligent Systems, 2022
- Hindi Text Classification: A Review2021
- Hate or Non-hate: Translation based hate speech identification in Code-Mixed Hinglish data set2021
- Role of Artificial Intelligence in Detection of Hateful Speech for Hinglish Data on Social Media2021
- Machine Learning Methods to identify Hindi Fake News within social-media2021
- No Rumours Please! A Multi-Indic-Lingual Approach for COVID Fake-Tweet Detection2021
- In the Shadow of Biological Warfare: Conspiracy Theories on the Origins of COVID-19 and Enhancing Global Governance of Biosafety as a Matter of UrgencyJournal of Bioethical Inquiry, 2020
- Detection of Hate Speech and Offensive Language in Twitter Data Using LSTM Model2020
- Detection of Hate Speech Text in Hindi-English Code-mixed DataProcedia Computer Science, 2020