Papers by Prasetia Pratama
Monitoring Hate Speech in Indonesia: An NLP-based Classification of Social Media Texts (2024.emnlp-demo)
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| Challenge: | a lack of mechanisms to track the spread and severity of hate speech complicates the formulation of effective solutions. |
| Approach: | They have developed a universally robust hate speech classifier tailored for a narrower subset of texts that target vulnerable groups that have historically been the targets of hate speech in Indonesia. |
| Outcome: | The proposed tool has persuaded the General Election Supervisory Body in Indonesia (BAWASLU) to collaborate with the Alliance of Independent Journalists (AJI) to monitor hate speech in vulnerable areas in the country known for hate speech dissemination or hate-related violence in the upcoming Indonesian regional elections. |